Lead, Data Engineering & Analytics - TS/SCI Required

LMI; Reston (VA); On-site; USD 120,000 - 150,000; Full time

Job summary

LMI in Reston, Virginia is seeking a skilled data engineering team leader with 5-10 years of experience. The ideal candidate will have proficiency in Python and SQL, along with expertise in data pipelines and analytics. Responsibilities include leading a multidisciplinary team, delivering complex analytical projects, and communicating technical concepts to stakeholders. Applicants must have an active TS/SCI security clearance. LMI offers a dynamic work environment focused on mission success and innovation.

Qualifications

• 5-10 years of relevant experience in data engineering or data science.
• 2+ years leading data engineering or data science teams.
• Proficiency in Python and SQL.

Responsibilities

• Lead a multidisciplinary team of data engineers and scientists.
• Modernize, maintain, and scale data pipelines.
• Translate analytical results into dashboards and visualizations.

Skills

Python

SQL

Data Engineering

Data Science

ETL/ELT Pipelines

Tableau

Data Warehousing

Machine Learning

Education

Bachelor’s degree in data science, mathematics, statistics, economics, computer science, or engineering

Advanced degree preferred

Tools

Tableau

Streamlit

Qlik

Power BI

R

Java

Job description

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.

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.

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.

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.