Senior Data Engineer

General Dynamics Information Technology, Inc.

$147K — $199K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years of related experience in data engineering or related field.
  • Proficient in Amazon Web Services (AWS) and data architecture development.
  • Experience with data pipeline design, operation, and management.
  • Understanding of encryption, IAM policies, and cybersecurity compliance.
  • Strong technical training or degree in a relevant field is preferred.

Responsibilities

  • Design and operate enterprise-grade data pipelines for multiple security enclaves.
  • Architect scalable frameworks utilizing AWS and other big data technologies.
  • Implement data quality monitoring and establish zones for data refinement.
  • Manage security compliance through encryption and access controls.
  • Lead engineering of self-service integration utilities for mission owners.
  • Conduct root-cause analysis and optimize performance of existing data solutions.
  • Produce documentation and diagrams to guide platform improvements and mentor teams.

Benefits

  • Comprehensive medical, dental, and vision plans with options for Health Savings Accounts.
  • 401(k) plan with company match and pre/post-tax contribution options.
  • Flexible work arrangements to promote work/life balance.
  • Variety of paid time off including vacation, sick leave, and holidays.
  • Short and long-term disability insurance and life insurance options.
Full Job Description
Type of Requisition:
Pipeline

Clearance Level Must Currently Possess:
Top Secret/SCI

Clearance Level Must Be Able to Obtain:
Top Secret/SCI

Public Trust/Other Required:
None

Job Family:
IT Infrastructure and Operations

Job Qualifications:

Skills:
Amazon Web Services (AWS), Data Architecture Development, Database Architecture
Certifications:
None
Experience:
10 + years of related experience
US Citizenship Required:
Yes

Job Description:

Advance your career while impacting our national security in cyber as Senior Data Engineer at GDIT. Here, technologists have many paths to grow a meaningful career supporting cyber missions and operations across the federal government.

The Advana team is seeking a Senior Data Engineer to join their programAdvana is the Chief Digital and Artificial Intelligence Office's (CDAO) enterprise-wide, multi-domain data, analytics, and artificial intelligence (AI) platform that provides all DoW military and civilian decision makers, analysts, and builders with unprecedented access to enterprise data, tools, and capabilities.

Senior Data Engineer
  • Data Engineer Senior (C.5.4) - Designs, builds, and operates enterprise-grade Advana data pipelines supporting ingestion, transformation, movement, and storage across Unclassified and NIPR, Secret and SIPR, and Top Secret and JWICS enclaves.
  • Architects scalable frameworks using Apache Airflow, Kafka, AWS Glue, Databricks, and Spark to deliver automated, fault-tolerant flows aligned with mission requirements for Combatant Commands, Joint Staff elements, and interagency partners.
  • Establishes medallion-architecture zones using bronze, silver, and gold tiers to govern data refinement, optimize lineage tracking, and strengthen analytics readiness. Implements data quality monitoring capabilities using Great Expectations, Soda, and custom validation gates to detect drift, measure completeness, and elevate accuracy across distributed lakes.
  • Applies encryption, IAM policies, role-segregated access, and cross-domain guards to maintain compliance with cybersecurity directives.
  • Leads engineering of self-service connection utilities enabling standardized inbound and outbound integration patterns for mission owners.
  • Directs root-cause analysis, Tier-3 support responses, performance optimization, and AoA evaluations that recommend modernization paths for cataloging, orchestration, and observability tools.
  • Produces architecture diagrams, engineering guides, governance documents, and performance dashboards that quantify latency reduction, throughput increases, and platform resilience improvements. Mentors multi-enclave teams and synchronizes with customer-facing groups to translate operational pain points into scalable data engineering enhancements that strengthen Advana enterprise readiness.


WHAT YOU'LL NEED TO SUCCEED
• Education: Technical Training, Certification(s) or Degree
• Experience: 10+ years of related experience
• Certification: Amazon Web Services (AWS) Certified: Big Data Specialty
• Security clearance level: TS/SCI Eligibility

The likely salary range for this position is $147,292 - $199,278. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:
40

Travel Required:
None

Telecommuting Options:
Remote

Work Location:
USA VA Falls Church

Additional Work Locations:

Total Rewards at GDIT:
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as 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. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identity Verification Process:
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

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