Lead Data Engineer

Job not on LinkedIn

🕒 August 7

🇺🇸 United States – Remote

💵 $128k - $173.2k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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General Dynamics Information Technology

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1954

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

General Dynamics Information Technology is a company at the forefront of technological innovation, offering a wide range of services including consulting, digital modernization, and application services. The company is heavily involved in implementing solutions related to artificial intelligence, cloud computing, cybersecurity, high-performance computing, and quantum technologies. GDIT is committed to supporting government and defense sectors, providing mission-critical services such as logistics and supply chain management, intelligence, and homeland security. The company also focuses on diverse and inclusive hiring practices and actively promotes employee well-being. Through its digital accelerator solutions and pioneering use of emerging technologies, GDIT aims to propel agencies' missions forward and address complex technological challenges.

📋 Description

• Develop and implement a scalable, secure, cloud-based data platform for operational data, reporting, and analytics • Engineer multi-tenant cloud environments supporting hybrid/on-premises systems and diverse database technologies • Design and implement auditable data integration patterns across Judiciary systems and external platforms • Build, test, deploy, and maintain data ingestion and ETL/ELT pipelines for batch and near-real-time workloads • Implement data quality controls, validation rules, governance-aligned structures, and error-handling mechanisms • Monitor and optimize database and query performance, pipeline scalability, and cost efficiency • Lead data management solutions including operational databases, document storage, data models, schemas, APIs, and data marts/gold layers • Provide technical direction and day-to-day oversight to Data Engineers (ETL/ELT Pipelines) • Implement Infrastructure as Code for database provisioning, configuration, and management • Collaborate with architecture, governance, migration, DevSecOps/CI-CD, DBA, business analysis, and QA teams • Configure metadata structures, workflows, automation, security settings, catalog ingestion processes, and attribute definitions • Support data classification standards through workshops, security controls, metadata requirements, system design, procurement, and training • Create training materials, job aids, communications, technical documentation, runbooks, and workflows • Support CI/CD deployments, automated testing, incident resolution, and root cause analysis • Execute data migration, archival, disaster recovery, failover testing, and DR drills • Escalate technical risks, defects, and dependencies and support the Data and Technology Enabler Roadmap • Operate in an Agile federal delivery environment and remain accountable for code quality, performance, timelines, and audit-ready artifacts

🎯 Requirements

• MA/MS degree with 7+ years of general experience and 7+ years of specialized experience, or BS/BA degree with 9+ years of general experience and 7+ years of specialized experience • Experience may substitute for education: high school with 16+ years, AA/AS with 14+ years, BA/BS with 12+ years, or Doctorate/Ph.D. with 9+ years • Minimum 7+ years of specialized experience in data engineering and data architecture design • Experience with system security best practices • Experience researching advanced technologies and applying IT solutions to business needs • Experience with AWS data and compute services • Experience with data orchestration tools • Proven software and data engineering experience • Hands-on experience building enterprise-scale data pipelines • Strong proficiency with SQL, Python, and data transformation techniques • Experience developing on cloud-based data platforms • Familiarity with Agile/Scrum delivery environments • Hands-on experience with data platforms, analytics, and AI/ML solutions • Proficiency with ETL/ELT frameworks • Experience with streaming or near-real-time data ingestion • Familiarity with data governance, metadata, and classification standards • Experience leading and mentoring data engineers • Excellent oral and written presentation and communication skills • Ability to work with senior customer stakeholders and build customer relationships • Experience applying industry tools, solutions, methods, best practices, and emerging technologies • Strong analytical and problem-solving skills • Ability to work effectively independently and as part of a team • Preferred certifications: CDMP, Snowflake SnowPro Core, Databricks Certified Data Professional, AWS Certified Data Analytics - Specialty, AWS Certified Solutions Architect - Professional, AWS Certified Data Engineer • No security clearance, public trust, or certification currently required • U.S. citizenship is not required

🏖️ Benefits

• Medical plan options, some with Health Savings Accounts • Dental plan options • Vision plan options • 401(k) plan with pre-tax and post-tax contributions up to IRS annual limits • Company 401(k) match • Full flex work weeks where possible • Vacation, sick, and personal time off • Paid holidays • Paid parental leave • Military leave • Bereavement leave • Jury duty leave • 15 days of paid leave per calendar year for new employees, prorated based on hire date • 10 additional paid holidays per year, prorated based on hire date • Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees • Short- and long-term disability benefits • Life insurance • Accidental death and dismemberment insurance • Personal accident insurance • Critical illness insurance • Business travel and accident insurance • Remote work