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Lead, Data Engineering & Analytics - TS​/SCI Security Clearance

Job in Reston, Fairfax County, Virginia, 20190, USA
Listing for: LMI
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Data Science Manager, Data Analyst, Data Engineer, AI Engineer
Job Description & How to Apply Below
Position: Lead, Data Engineering & Analytics - TS/SCI Required with Security Clearance
Overview At LMI, we're reimagining the path from insight to outcome at The New Speed of Possible™. With over 60 years of federal expertise and a strong innovation ecosystem, we accelerate mission success by delivering timely, high-impact solutions that help our customers adapt to evolving mission needs. LMI is seeking a Technical Lead to support an Intelligence Community client. This position will be located in Washington, DC or Reston, VA.

This role is a hands-on technical leader responsible for guiding a team that delivers modern data pipelines and advanced analytics in support of mission decision-making. Responsibilities 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. Qualifications

Education:

* 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.
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