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<br><h4>Overview</h4><p>LMI is seeking an experienced Scrum Master to join our team for an AI-driven project with a strong focus on data and product management. The project encompasses various activities, including data architecture, data ingestion, modeling and simulation, user onboarding, and data visualization. The ideal candidate will bring a unique blend of data science expertise, Agile project management, and experience in driving team success within a SAFe Agile framework.</p><h4>Responsibilities</h4><ul><li>Facilitate Agile ceremonies (e.g., Sprint Planning, Daily Stand-ups, Retrospectives) and ensure alignment with SAFe Agile principles</li><li>Collaborate with cross-functional teams to design and implement data architecture, ingestion, and modeling solutions, ensuring data quality and consistency</li><li>Work closely with product and data management teams to prioritize, define, and groom backlog items focused on data architecture, modeling, and AI-driven simulations</li><li>Support user onboarding activities by collaborating with data and UX/UI teams to ensure a smooth experience for end-users</li><li>Coordinate data visualization efforts, ensuring visual outputs are insightful, user-centric, and align with project goals</li><li>Serve as a mentor and coach to the team in Agile best practices, promoting a collaborative and innovative environment</li><li>Identify and manage project risks, dependencies, and opportunities, ensuring proactive mitigation and alignment with project timelines</li></ul><h4>Qualifications</h4><ul><li>Bachelor’s degree in Data Science, Computer Science, or a related field</li><li>3-10 years of experience as a data scientist or in a similar data-driven role</li><li>Proven experience as a Scrum Master on projects involving data architecture, modeling, or AI</li><li>Active DoD security clearance (Secret) required</li><li>Strong understanding of data management principles, data modeling, and data ingestion processes</li><li>Familiarity with data visualization and AI tools and techniques</li></ul><p><strong>Preferred Qualifications:</strong></p><ul><li>Master’s degree in Data Science or a related field</li><li>Certifications in SAFe Agile methodology (e.g., SAFe Scrum Master, SAFe Agilist)</li><li>Experience in the AI/ML domain with a focus on data-centric projects</li><li>Excellent communication, organizational, and team facilitation skills</li><li>Experience with data visualization tools (e.g., Tableau, Power BI, React) and data engineering tools (e.g., Apache Kafka, Spark)</li><li>Part-time onsite client support in the Washington, DC metro area</li></ul><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

LMI Consulting, LLC

Scrum Master & Data Science Consultant - Clearance Required

<br><h4>Overview</h4><p>LMI is seeking a seasoned Data Scientist to support the development, testing, and deployment of machine learning (ML) models. These models are crucial for encapsulating extensive discrete event simulation data, aiding a critical supply chain risk program for the Department of Defense.</p><h4>Responsibilities</h4><ul><li>Collaborate actively within a team of data scientists to rapidly design and deploy machine learning meta models, capturing complex scenarios across an extensive array of weapon system components</li><li>Apply Design of Experiments (DOE) and meta modeling techniques to accurately represent simulation outputs</li><li>Craft and deploy sophisticated supervised ML models employing tools such as Python, PySpark, and MLflow</li><li>Utilize meta models to facilitate optimization modeling, employing methods such as linear programming and heuristic approaches</li><li>Advance the automation, efficiency, and precision of meta modeling and optimization solutions by contributing innovative approaches and enhancements</li><li>Collaborate closely with data engineers, UI developers, and domain experts to refine and integrate data science methodologies into an adaptive software ecosystem</li><li>Operate proficiently within a Databricks environment, managing code development, testing, and deployment through notebooks</li><li>Manage data science initiatives, ensuring effective coordination and prioritization across multiple team engagements</li><li>Engage with cutting-edge data science techniques to address complex, large-scale data challenges </li></ul><h4>Qualifications</h4><ul><li>Bachelors&nbsp;degree in Data Science, Operations Research, or a related field, supplemented by relevant work experience</li><li>1-3 years’ experience in a data science capacity</li><li>Proficiency in Agile development methodologies</li><li>Strong background in Python, Spark notebooks, and cloud-based environments like Databricks</li><li>Experience with Python libraries such as Scikit-learn</li><li>Demonstrated ability to use MLflow and similar tools</li><li>Robust analytical, conceptual, and problem-solving skills</li><li><strong>Active DoD Secret clearance; Top Secret clearance preferred</strong></li></ul><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

Senior Data Modeling Analyst - Clearance Required

<br><h4>Overview</h4><p>LMI is seeking a seasoned Lead Data Scientist to spearhead the development, testing, and deployment of machine learning (ML) models. These models are crucial for encapsulating extensive discrete event simulation data, aiding a critical supply chain risk program for the Department of Defense.</p><h4>Responsibilities</h4><ul><li>Direct a dynamic team of data scientists to swiftly develop and implement ML meta models that encapsulate numerous simulated scenarios across a vast inventory of weapon system components</li><li>Apply Design of Experiments (DOE) and meta modeling techniques to accurately represent simulation outputs</li><li>Adapt and enhance established, sophisticated supervised ML models employing tools such as Python, PySpark, and MLflow</li><li>Utilize meta models to facilitate optimization modeling, employing methods such as linear programming and heuristic approaches</li><li>Mentor and lead the team towards enhancing automation, efficiency, and accuracy of meta modeling and optimization solutions</li><li>Collaborate closely with data engineers, UI developers, and domain experts to refine and integrate data science methodologies into an adaptive software ecosystem</li><li>Collaborate closely with peer technical leads to identify priorities, risks and solutions</li><li>Operate proficiently within a Databricks environment, managing code development, testing, and deployment through notebooks</li><li>Manage data science initiatives, ensuring effective coordination and prioritization across multiple team engagements</li><li>Engage with cutting-edge data science techniques to address complex, large-scale data challenges</li></ul><h4>Qualifications</h4><ul><li>Masters degree in Data Science, Operations Research, or a related field, supplemented by relevant work experience</li><li>Minimum of 10 years’ experience in a data science capacity</li><li>Extensive experience applying Agile methodologies</li><li>Demonstrates expert-level skills in Python and Spark, with a strong command of cloud-based platforms such as Databricks, enhancing collaborative development and large-scale data processing</li><li>Deep knowledge and practical experience with delivering sophisticated data analysis and machine learning solutions using Python</li><li>Well-versed in using MLflow and comparable tools</li><li>Familiarity with Qlik, React or other data visualization platforms</li><li>Robust analytical, conceptual, and problem-solving skills</li><li><strong>Active DoD Secret clearance; Top Secret clearance preferred</strong></li></ul><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

Senior Data Modeling & Lead Data Scientist - Clearance Required

<br><h4>Overview</h4><p>LMI is seeking a Data Visualization Consultant experienced in React to design and develop innovative software programs that enable AI/ML activities for the Department of Defense.</p><h4>Responsibilities</h4><ul><li>Develop intuitive visualizations, dashboards, and reusable User Interface (UI) components using React and the Material UI component library</li><li>Rapidly create working wireframes based on project specifications for client validation in collaboration with human-centered design</li><li>Build CI/CD pipelines using client specifications for security and containerized deployments in client environments</li><li>Manage UI component buildout in conjunction with project management stakeholders using an agile-based project management approach</li><li>Work with data engineers to outline specifications for APIs</li></ul><h4>Qualifications</h4><ul><li>Bachelor's degree in Computer Science or related field and/or equivalent work experience</li><li>3+ years of experience as a React Developer</li><li>Experience with:</li><ul><li>Design and deployment of analytical visualizations with React and Material UI Component Library</li><li>Human-centered design best practices</li><li>API development</li><li>Employing visual analytics best practices, development processes</li><li>SQL and Python</li><li>Agile-based development</li></ul><li>Effective analytical, conceptual, and problem-solving skills</li><li>Active DoD Secret clearance required (Top Secret clearance highly desired)</li></ul><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

Data Visualization Consultant (React) - Clearance Required

<p><b>ABOUT GREYSTAR</b></p><p>Greystar is a leading, fully integrated global real estate company offering expertise in property management, investment management, development, and construction services in institutional-quality rental housing, logistics, and life sciences sectors. Headquartered in Charleston, South Carolina, Greystar manages and operates more than $320 billion of real estate in 250 markets globally with offices throughout North America, Europe, South America, and the Asia-Pacific region. Greystar is the largest operator of apartments in the United States, manages more than 977,000 units/beds globally, and has a robust institutional investment management platform comprised of more than $78 billion of assets under management, including over $36 billion of development assets. Greystar was founded by Bob Faith in 1993 to become a provider of world-class service in the rental residential real estate business. To learn more, visit <a href="http://www.greystar.com" target="_blank">www.greystar.com</a>.</p><p><b><br>JOB DESCRIPTION SUMMARY</b></p>This position is responsible for coordinating the community’s marketing, leasing, and renewal strategies to achieve occupancy, revenue, and resident retention goals by performing all activities related to leasing to new residents, providing resident satisfaction throughout the term of the lease, and securing resident lease renewals.<p><b>JOB DESCRIPTION</b></p><p>Essential Responsibilities:<br>•&nbsp;&nbsp; &nbsp;Performs all sales and leasing activities to achieve the community’s revenue and occupancy goals by greeting and qualifying prospects, conducting community tours and showing apartments, processing applications, credit screening, and criminal background checks, preparing the lease and move-in package, and ensuring a smooth resident move-in and lease signing. &nbsp;&nbsp;<br>•&nbsp;&nbsp; &nbsp;Inspects apartments prior to resident move-in and ensures apartments are in move-in ready condition and schedules any outstanding item to be addressed with the maintenance team.&nbsp;<br>•&nbsp;&nbsp; &nbsp;Stays informed about current market and competitor conditions that may impact the community’s occupancy and sales results, develops and implements short- and long-term marketing plans and goals to sustain occupancy, and follows the community’s established policies related to concessions, specials, and other programs to boost occupancy.&nbsp;<br>•&nbsp;&nbsp; &nbsp;Designs and executes marketing activities to create and drive traffic to the community, including implementing resident referral and employer outreach programs, using internet marketing tools (Craigslist, Facebook, e-mail, and other websites), and following other community-specific marketing plans, drives, and special programs.&nbsp;<br>•&nbsp;&nbsp; &nbsp;Uses the on-site property management software (OneSite, Yardi, etc.) to track apartment availability, record traffic and leasing activities, manage resident and prospect data, and capture critical demographic and other information about existing and future residents.&nbsp;<br>•&nbsp;&nbsp; &nbsp;Ensures that the community and show units meet the Company’s standards for show quality by daily inspecting the marketing corridor and leasing tour, communicating maintenance and upkeep needs to the community’s maintenance team members, merchandising and ensuring a physically appealing show unit and/or model and amenities, and preparing the leasing office for daily leasing activities.&nbsp;<br>•&nbsp;&nbsp; &nbsp;Follows-up with prospects and new residents to ensure satisfaction by sending e-mail, thank-you notes, and cards or making telephone calls or other contacts to finalize decisions to lease and/or renew.&nbsp;<br>•&nbsp;&nbsp; &nbsp;Executes and performs activities in support of the community’s lease renewal program by preparing lease renewal letters and packages for residents, meeting with and contacting renewing residents in advance of move-out dates, and ensuring that lease renewal documents are signed and implemented on time. &nbsp; &nbsp; &nbsp; &nbsp;<br>•&nbsp;&nbsp; &nbsp;Responds quickly and courteously to resident and client/owner concerns and questions, and takes prompt action to solve problems and/or document and convey resident or other requests to the appropriate individual(s). &nbsp;</p><p>Required Licenses or Certifications:<br>•&nbsp;&nbsp; &nbsp;Incumbents must have all licenses and/or certifications as required by State and Local jurisdictions</p><p>•&nbsp;&nbsp; &nbsp;Incumbents must have valid driver’s license to operate a golf cart on property.</p><p>The hourly range for this position is $21 - $23.</p><p><b>Additional Compensation</b>:</p><ul><li><i>Corporate Positions</i>:&nbsp;In&nbsp;addition to the base salary, this role may be eligible to participate&nbsp;in&nbsp;an annual bonus program based on&nbsp;individual and company performance.</li><li><i>Onsite Property Positions</i>:&nbsp;In&nbsp;addition to the base salary, this role may be eligible to participate&nbsp;in weekly, monthly, and/or quarterly bonus programs.</li></ul><p><b>Robust Benefits Offered*:</b></p><ul><li>Competitive Medical, Dental, Vision, and Disability &amp; Life&nbsp;insurance benefits. Low (free basic) employee Medical costs for employee-only coverage; costs discounted after 3 and 5 years of service.</li><li>Generous Paid Time off. All new hires start with 15 days of vacation, 4 personal days, 10 sick days, and 10 paid holidays. Plus your birthday off after 1 year of service! Additional vacation accrued with tenure.</li><li>For onsite team members, onsite housing discount at Greystar-managed communities are available subject to discount and unit availability.</li><li>6-Week Paid Sabbatical after 10 years of service (and every 5 years thereafter).</li><li>401(k) with Company Match up to 6% of pay after 6 months of service.</li><li>Paid Parental Leave and lifetime Fertility Benefit reimbursement up to $10,000 (includes adoption or surrogacy).</li><li>Employee Assistance Program.</li><li>Critical Illness, Accident, Hospital&nbsp;Indemnity, Pet&nbsp;Insurance and Legal Plans.</li><li>Charitable giving program and benefits.</li></ul><p><i>*Benefits offered for full-time employees. For Union and Prevailing Wage roles, compensation and benefits may vary from the listed&nbsp;information above due to Collective Bargaining Agreements and/or local governing authority.</i></p><p>Greystar will consider for employment qualified applicants with arrest and conviction records.</p>

Greystar

Leasing Professional - The Ian

<p><b>ABOUT GREYSTAR</b></p><p>Greystar is a leading, fully integrated global real estate company offering expertise in property management, investment management, development, and construction services in institutional-quality rental housing, logistics, and life sciences sectors. Headquartered in Charleston, South Carolina, Greystar manages and operates more than $320 billion of real estate in 250 markets globally with offices throughout North America, Europe, South America, and the Asia-Pacific region. Greystar is the largest operator of apartments in the United States, manages more than 977,000 units/beds globally, and has a robust institutional investment management platform comprised of more than $78 billion of assets under management, including over $36 billion of development assets. Greystar was founded by Bob Faith in 1993 to become a provider of world-class service in the rental residential real estate business. To learn more, visit <a href="http://www.greystar.com" target="_blank">www.greystar.com</a>.</p><p><b><br>JOB DESCRIPTION SUMMARY</b></p>This position is responsible for coordinating the community’s marketing, leasing, and renewal strategies to achieve occupancy, revenue, and resident retention goals by performing all activities related to leasing to new residents, providing resident satisfaction throughout the term of the lease, and securing resident lease renewals.<p><b>JOB DESCRIPTION</b></p><p>Essential Responsibilities:<br>•&nbsp;&nbsp; &nbsp;Performs all sales and leasing activities to achieve the community’s revenue and occupancy goals by greeting and qualifying prospects, conducting community tours and showing apartments, processing applications, credit screening, and criminal background checks, preparing the lease and move-in package, and ensuring a smooth resident move-in and lease signing. &nbsp;&nbsp;<br>•&nbsp;&nbsp; &nbsp;Inspects apartments prior to resident move-in and ensures apartments are in move-in ready condition and schedules any outstanding item to be addressed with the maintenance team.&nbsp;<br>•&nbsp;&nbsp; &nbsp;Stays informed about current market and competitor conditions that may impact the community’s occupancy and sales results, develops and implements short- and long-term marketing plans and goals to sustain occupancy, and follows the community’s established policies related to concessions, specials, and other programs to boost occupancy.&nbsp; #LI-KF1<br>•&nbsp;&nbsp; &nbsp;Designs and executes marketing activities to create and drive traffic to the community, including implementing resident referral and employer outreach programs, using internet marketing tools (Craigslist, Facebook, e-mail, and other websites), and following other community-specific marketing plans, drives, and special programs.&nbsp;<br>•&nbsp;&nbsp; &nbsp;Uses the on-site property management software (OneSite, Yardi, etc.) to track apartment availability, record traffic and leasing activities, manage resident and prospect data, and capture critical demographic and other information about existing and future residents.&nbsp;<br>•&nbsp;&nbsp; &nbsp;Ensures that the community and show units meet the Company’s standards for show quality by daily inspecting the marketing corridor and leasing tour, communicating maintenance and upkeep needs to the community’s maintenance team members, merchandising and ensuring a physically appealing show unit and/or model and amenities, and preparing the leasing office for daily leasing activities.&nbsp;<br>•&nbsp;&nbsp; &nbsp;Follows-up with prospects and new residents to ensure satisfaction by sending e-mail, thank-you notes, and cards or making telephone calls or other contacts to finalize decisions to lease and/or renew.&nbsp;<br>•&nbsp;&nbsp; &nbsp;Executes and performs activities in support of the community’s lease renewal program by preparing lease renewal letters and packages for residents, meeting with and contacting renewing residents in advance of move-out dates, and ensuring that lease renewal documents are signed and implemented on time. &nbsp; &nbsp; &nbsp; &nbsp;<br>•&nbsp;&nbsp; &nbsp;Responds quickly and courteously to resident and client/owner concerns and questions, and takes prompt action to solve problems and/or document and convey resident or other requests to the appropriate individual(s). &nbsp;</p><p>Required Licenses or Certifications:<br>•&nbsp;&nbsp; &nbsp;Incumbents must have all licenses and/or certifications as required by State and Local jurisdictions</p><p>•&nbsp;&nbsp; &nbsp;Incumbents must have valid driver’s license to operate a golf cart on property.</p><p>The hourly range for this position is $20 - $22.</p><p><b>Additional Compensation</b>:</p><ul><li><i>Corporate Positions</i>:&nbsp;In&nbsp;addition to the base salary, this role may be eligible to participate&nbsp;in&nbsp;an annual bonus program based on&nbsp;individual and company performance.</li><li><i>Onsite Property Positions</i>:&nbsp;In&nbsp;addition to the base salary, this role may be eligible to participate&nbsp;in weekly, monthly, and/or quarterly bonus programs.</li></ul><p><b>Robust Benefits Offered*:</b></p><ul><li>Competitive Medical, Dental, Vision, and Disability &amp; Life&nbsp;insurance benefits. Low (free basic) employee Medical costs for employee-only coverage; costs discounted after 3 and 5 years of service.</li><li>Generous Paid Time off. All new hires start with 15 days of vacation, 4 personal days, 10 sick days, and 10 paid holidays. Plus your birthday off after 1 year of service! Additional vacation accrued with tenure.</li><li>For onsite team members, onsite housing discount at Greystar-managed communities are available subject to discount and unit availability.</li><li>6-Week Paid Sabbatical after 10 years of service (and every 5 years thereafter).</li><li>401(k) with Company Match up to 6% of pay after 6 months of service.</li><li>Paid Parental Leave and lifetime Fertility Benefit reimbursement up to $10,000 (includes adoption or surrogacy).</li><li>Employee Assistance Program.</li><li>Critical Illness, Accident, Hospital&nbsp;Indemnity, Pet&nbsp;Insurance and Legal Plans.</li><li>Charitable giving program and benefits.</li></ul><p><i>*Benefits offered for full-time employees. For Union and Prevailing Wage roles, compensation and benefits may vary from the listed&nbsp;information above due to Collective Bargaining Agreements and/or local governing authority.</i></p><p>Greystar will consider for employment qualified applicants with arrest and conviction records.</p>

Leasing Professional - Vista at Fairfax Corner

<br><h4>Overview</h4><p>LMI is seeking an experienced Data Engineer to design, develop, test, and optimize data pipelines and database architectures, with additional responsibilities for creating data visualizations in React. This role will support the development of innovative software solutions that drive AI/ML capabilities for the Department of Defense.</p><h4>Responsibilities</h4><ul><li>Set up segmented databases to control access to various datasets and data products</li><li>Build data pipelines in PySpark using data engineering best practices for testing, validation, automation, and version control</li><li>Coordinate closely with SMEs and front-end developers to generate data tables required for UI execution</li><li>Build code to execute pulls from APIs, allowing access to external data to be pulled into the client environment</li><li>Interact with partners and data providers to understand their data holdings, methods for moving data into the CDAO-Advana platform, and data usage agreements</li><li>Self-starter, and eager to learn and work in a team environment</li><li>Develop intuitive visualizations, dashboards, and reusable User Interface (UI) components using React and the Material UI component library</li><li>Rapidly create working wireframes based on project specifications for client validation in collaboration with human-centered design</li><li>Build CI/CD pipelines using client specifications for security and containerized deployments in client environments</li><li>Manage UI component buildout in conjunction with project management stakeholders using an agile-based project management approach</li><li>Work with data engineers to outline specifications for APIs</li></ul><h4>Qualifications</h4><ul><li>Bachelor’s degree in Computer Science or related field and/or equivalent work experience</li><li>3-10 years of experience as a data engineer</li><li>Experience with:</li><ul><li>Agile-based development</li><li>Python, Spark, notebooks</li><li>Data Bricks or similar environment</li></ul><li>Effective analytical, conceptual, and problem-solving skills</li><li>Active DoD Secret clearance</li><li>Part-time onsite client support in the Washington, DC metro area</li></ul><p>Desired Qualifications</p><ul><li>Active DoD Top Secret clearance</li></ul><p>The salary range for this position is- $80,000 - $120,000</p><p>The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.&nbsp;&nbsp;</p><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

Data Engineer - Clearance Required

<br><h4>Overview</h4><p>LMI is seeking a skilled Data Engineer to design, develop, test, and enhance data pipelines and database architectures. This role will also involve implementing a robust test and evaluation (T&amp;E) strategy to support a comprehensive supply chain risk management program for the Department of Defense.</p><h4>Responsibilities</h4><ul><li>Set up segmented databases to control access to various datasets and data products</li><li>Build data pipelines in PySpark using data engineering best practices for testing, validation, automation, and version control</li><li>Coordinate closely with SMEs and front-end developers to generate data tables required for UI execution</li><li>Build code to execute pulls from APIs, allowing access to external data to be pulled into the client environment</li><li>Interact with partners and data providers to understand their data holdings, methods for moving data into the CDAO-Advana platform, and data usage agreements</li><li>Self-starter, and eager to learn and work in a team environment</li><li>Implement a test and evaluation framework for both front end and back end components of an enterprise solution including data products, modeling products and UI</li><li>Implement a test harness to systematically assess and validate the functionality and performance of solution components</li><li>Collaborate with stakeholders to refine testing protocols, ensuring they align with operational requirements and customer priorities for supply chain risk management</li><li>Identify practical test and training data sets for each evaluation </li><li>Document test findings and provide actionable insights to improve the system's reliability and effectiveness in real-time operational settings</li><li>Spearhead the integration of T&amp;E methodologies into the ongoing development lifecycle to continuously adapt and enhance enterprise solution capabilities</li><li>Collaborate closely with data engineers, UI developers, and domain experts to refine and integrate data science methodologies into an adaptive software ecosystem</li><li>Operate proficiently within a Databricks environment, managing code development, testing, and deployment through notebooks</li></ul><h4>Qualifications</h4><ul><li>Bachelor’s degree in Computer Science or related field and/or equivalent work experience</li><li>3-10 years of experience as a data engineer</li><li>Experience with:</li><ul><li>Agile-based development</li><li>Python, Spark, notebooks</li><li>Data Bricks or similar environment</li></ul><li>Effective analytical, conceptual, and problem-solving skills</li><li>Active DoD Secret clearance</li><li>Fully remote capability acceptable</li></ul><p>Desired Qualifications</p><ul><li>Active DoD Top Secret clearance</li><li>Part-time onsite client support in the Washington, DC metro area</li></ul><p>The salary range for this position is- $80,000 - $120,000</p><p>The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.&nbsp;&nbsp;</p><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

<br><h4>Overview</h4><p>LMI is seeking a data engineer to develop, test, maintain, and augment data pipelines and database setups in support of a supply chain risk program for the Department of Defense.</p><h4>Responsibilities</h4><ul><li>Set up segmented databases to control access to various datasets and data products</li><li>Build data pipelines in PySpark using data engineering best practices for testing, validation, automation, and version control</li><li>Coordinate closely with SMEs and front-end developers to generate data tables required for UI execution</li><li>Build code to execute pulls from APIs, allowing access to external data to be pulled into the client environment</li><li>Interact with partners and data providers to understand their data holdings, methods for moving data into the CDAO-Advana platform, and data usage agreements</li><li>Self-starter, and eager to learn and work in a team environment</li></ul><h4>Qualifications</h4><ul><li>Bachelor’s degree in Computer Science or related field and/or equivalent work experience</li><li>3-10 years of experience as a data engineer</li><li>Experience with:</li><ul><li>Agile-based development</li><li>Python, Spark, notebooks</li><li>Data Bricks or similar environment</li></ul><li>Effective analytical, conceptual, and problem-solving skills</li><li>Active DoD Secret clearance</li><li>Fully remote capability acceptable</li></ul><p>Desired Qualifications</p><ul><li>Active DoD Top Secret clearance</li><li>Part-time onsite client support in the Washington, DC metro area</li></ul><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

<br><h4>Overview</h4><p>LMI is seeking a data engineer to develop, test, maintain, and augment data pipelines and database setups in support of a supply chain risk program for the Department of Defense.</p><h4>Responsibilities</h4><ul><li>Set up segmented databases to control access to various datasets and data products</li><li>Build data pipelines in PySpark using data engineering best practices for testing, validation, automation, and version control</li><li>Coordinate closely with SMEs and front-end developers to generate data tables required for UI execution</li><li>Build code to execute pulls from APIs, allowing access to external data to be pulled into the client environment</li><li>Interact with partners and data providers to understand their data holdings, methods for moving data into the CDAO-Advana platform, and data usage agreements</li><li>Self-starter, and eager to learn and work in a team environment</li></ul><h4>Qualifications</h4><ul><li>Bachelor’s degree in Computer Science or related field and/or equivalent work experience</li><li>3-10 years of experience as a data engineer</li><li>Experience with:</li><ul><li>Agile-based development</li><li>Python, Spark, notebooks</li><li>Data Bricks or similar environment</li></ul><li>Effective analytical, conceptual, and problem-solving skills</li><li>Active DoD Secret clearance</li><li>Full remote acceptable</li></ul><p>Desired Qualifications</p><ul><li>Active DoD Top Secret clearance</li><li>Part-time onsite client support in the Washington, DC metro area</li></ul><p>The salary range for this position is- $100,000 - $150,000</p><p>The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.&nbsp;&nbsp;</p><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

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