Technical Lead – Data Engineering, Analytics

General Dynamics Information Technology

. Lead Enterprise Data Solution Delivery by overseeing the design, architecture, and delivery of end-to-end data engineering and analytics solutions.

Posted 4/7/2026full-timeRemote • Virginia • 🇺🇸 United StatesSenior💰 $131,750 - $178,250 per yearWebsite

Tech Stack

Tools & technologies

AzureCloudCyber SecurityETLPythonSQL

About the role

Key responsibilities & impact

Lead Enterprise Data Solution Delivery by overseeing the design, architecture, and delivery of end-to-end data engineering and analytics solutions.
Oversee development of ETL/ELT pipelines, data models, database structures, APIs, and BI dashboards that support enterprise-wide analytics and reporting.
Provide technical direction to engineering teams, ensuring solutions align with VA mission needs and federal security standards.
Develop complex, high-volume data pipelines and automated workflows using Python, SQL, PowerShell, and cloud-native tools.
Modernize legacy data systems and migrate workloads into scalable cloud or hybrid environments using Azure.
Optimize data ingestion, transformation, and validation processes to support operational and analytical workloads.
Develop Power BI solutions including semantic models, DAX calculations, and enterprise distribution methods.
Build dashboards, analytics modules, and self-service reporting tools that improve situational awareness and decision support.
Design OLAP structures and data models that enable high-performance, large-scale analytics.
Implement DevSecOps practices, CI/CD pipelines, and automated testing frameworks using Azure DevOps and Git.
Establish and maintain data quality processes, monitoring systems, optimization strategies, and performance metrics.
Ensure compliance with VA, NIST, and federal cybersecurity requirements across all data and reporting solutions.
Partner with VA leadership, analysts, engineers, and program teams to translate mission requirements into technical solutions.
Provide mentorship and guidance to junior engineers and analysts.

Requirements

What you’ll need

8+ years of related experience
Proven experience leading technical teams and delivering enterprise-level data solutions.
Strong proficiency with Python, SQL, REST APIs, FastAPI, Power BI (desktop and service), and PowerShell.
Hands-on experience architecting cloud or hybrid data environments, particularly with Azure and Azure SQL.
Demonstrated ability to build and optimize ETL pipelines, data transformations, and automated workflows.
Experience implementing CI/CD, DevSecOps, testing automation, and Git-based development processes.
Knowledge of federal data security, compliance, and secure development practices.
Bachelor’s degree in a technical field (Information Systems, Computer Science, Engineering, or related discipline).
Master’s degree preferred (Data Analytics Engineering, Predictive Analytics, or related field).

Benefits

Comp & perks

Comprehensive health and wellness packages.
Professional development, internal mobility programs, and upskilling opportunities.
Full-flex work week to own your priorities at work and at home.
Variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave.
Short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSQLETLELTPower BIREST APIsFastAPIAzureAzure SQLDevSecOps

Soft Skills

leadershipmentorshipcommunicationcollaborationtechnical direction

Certifications

Bachelor’s degreeMaster’s degree