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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead, Analytics & Data Engineering - TS/SCI Required - **Company:** LMI - **Location:** Reston, VA, United States - **Experience:** Expert - **Salary:** $23,241.0 - $134,368.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Business Analytics Applications, Data Analysis, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Relational Databases, Programming Tools, R (Programming Language), Python (Programming Language), Machine Learning, Power BI, SQL Databases, Tableau (Software), Cloud Platform System, Feature Engineering, Database Optimization, Information Technology, Qlikview, Plotly, Text Analysis, Streamlit Framework, Data Pipelines - **Published:** September 1, 2026 - **Apply:** https://www.clearancejobs.com/jobs/8756053/lead-analytics-data-engineering-tssci-required ## About the Role * Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or a related quantitative discipline is required; advanced degree preferred. Experience: * 5-10 years of relevant experience, with at least 2 years leading data engineering or data science teams as a technical lead or task lead. * Demonstrated experience delivering complex data pipelines and analytical projects in client-focused environments. Technical Skills: * Proficiency in Python and SQL is required. Strong working knowledge of relational databases, including database optimization, schema design, and connecting analytic products to data sources. * Experience with designing, building, and maintaining ETL/ELT pipelines and data integration workflows in support of scalable analytics solutions. * Familiarity with core data science and analytics libraries in Python to support modeling, analysis, and feature engineering. * Experience building visualizations, dashboards, and lightweight analytic applications to communicate findings and drive business impact using modern platforms (e.g., Tableau, Streamlit, or similar tools). * Exposure to additional analytic, visualization, and programming tools (e.g., Qlik, Power BI, RShiny, Plotly, Java, R), demonstrating the ability to adapt across technologies. * Familiarity with data engineering and data science methods including data transformation, feature engineering, predictive analytics, and unstructured text analysis. Leadership and Interpersonal Skills: * Strong written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. * Demonstrated ability to mentor and develop junior team members across data engineering and data science disciplines. * Strong stakeholder management skills, including the ability to build trusted relationships and balance modernization efforts with stakeholder-facing delivery. * Ability to work in a fast-paced, solutions-oriented environment while delivering high-quality products. * Strong analytical, problem-solving, and organizational skills with a focus on practical outcomes and mission impact. This position requires an active TS/SCI security clearance with polygraph. Applicants with TS/SCI who are eligible for polygraph are encouraged to apply and will be sponsored for upgrade. Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work. ## Description Technical Leadership & Team Collaboration * Lead and oversee a multidisciplinary team of data engineers and data scientists. * Collaborate with business/functional stakeholders to understand processes, define analytical requirements, and communicate results. * Mentor junior team members across data engineering and data science disciplines. * Build and maintain strong relationships with stakeholders to ensure alignment with organizational goals. * Manage delivery of projects, including timelines, deliverables, resources, and quality. * Provide technical and process consulting in support of mission outcomes. Data Engineering & Platform Modernization * Lead the modernization, maintenance, and scaling of data pipelines, data warehouses, and related infrastructure. * Contribute to the organization's data engineering and advanced analytics strategy, roadmap, and data governance practices. Advanced Analytics & Modeling * Frame and scope analytical problems; integrate, consolidate, and analyze complex datasets. * Guide development and validation of models using machine learning, simulation, causal, rule-based, or statistical methods. Analytics Delivery & Communication * Translate analytical results into dashboards, visualizations, and analytic narratives that support decision-making. * Provide timely analysis and reporting in a fast-paced, client-focused environment. * Advise non-technical stakeholders on interpreting and applying data products, dashboards, and reports.