Data Engineer | Active Top Secret clearance

Transform technology into opportunity as a Data Engineer at GDIT. Shape what’s next for mission-critical government projects while shaping what’s next for your engineering career.

About the role

As a Data Engineer, you will provide technical expertise on a mission-critical program developing, modernizing, enhancing, operating, and maintaining services for OIS mission-critical systems. You will work on a team of Data and Cloud Architects, Engineers, and Administrators, focusing on designing, building, deploying, and maintaining data architectures and databases in the AWS GovCloud environment.

Responsibilities

• Develop, construct, test, and maintain high-performance, scalable, and stable data architectures for OIS, such as databases and large-scale processing systems.
• Migrate data from on-premises databases to cloud-based solutions, transforming the data as required.
• Develop and maintain scalable data pipelines and build out new API integrations.
• Ensure data pipelines are scalable, repeatable, and secure.
• Implement and manage databases and data delivery systems, transforming them into insights, analysis, and reporting.
• Identify, research, design, develop, and promote solutions that enhance the modern development environment to meet business requirements and industry best practices.
• Implement data extraction, data load, and database synchronization routines and functions (ETL).
• Implement data governance and quality controls and monitor ETL/ELT jobs to ensure performance and halt potential issues.
• Improve system performance by conducting tests, troubleshooting, and integrating new elements.
• Ensure all data platform solutions adhere to confidentiality and privacy requirements.
• Collaborate with data scientists, architects, and other stakeholders to ensure the data infrastructure supports required functions and performance metrics.
• Design, model, document, and guide the logical and conceptual relationship of data and database changes.
• Document data architecture and systems for both technical teams and non-technical stakeholders.
• Perform technical planning, system integration, verification and validation, cost and risk assessments.
• Decompose Oracle PL/SQL stored procedures and triggers to migrate to Amazon Aurora DB, Postgres, or MySQL.

Requirements

• Active Top Secret clearance.
• 10+ years of prior Data Engineering experience.
• US Citizenship.
• Experience with implementing data warehousing concepts, ETL (Extract, Transform, Load) processes, and tools (e.g., Pentaho).
• Experience with developing and administrating PostgreSQL.
• Strong proficiency in SQL and experience with other querying languages.
• Proven, hands-on expertise in data modeling, schema design, and database optimization.
• Knowledge of data security and compliance best practices.
• Experience with GitLab, Liquibase, CI/CD pipelines (highly preferred).
• Experience with big data technologies such as Apache Hadoop, Spark, Kafka, Debezium, RabbitMQ, etc.
• Demonstrated experience in network and cyber security design, engineering, and operations with emphasis on Navy capabilities.
• Prior Navy experience.
• Experience with cloud data services (e.g., AWS, Azure, GCP).
• Experience with Cloud Relational Database Services (e.g., AWS RDS, Aurora DB).
• SAFe experience and knowledge.
• Experience with Data warehousing and Business Intelligence tools such as RedShift, MicroStrategy, Erwin Data Modeler, etc.
• Experience with one or more programming languages like Python, Java, Scala, or Go.
• Excellent verbal and written communication skills, with the ability to interact effectively with technical and non-technical stakeholders.
• Must be a self-starter and have the ability to work independently with little supervision.

Qualifications

• 8570/8140 - IAT II CompTIA Security+ CE certification.
• AWS Certified Solutions Architect, AWS Certified Data Engineer, or similar equivalent Cloud environment certification, or Oracle Database Certified Associate or equivalent Database Certification (highly preferred to have in hand upon applying; if not, must obtain within 3 months of start).

Schedule

• Scheduled Weekly Hours: 40
• Travel Required: Less than 10%
• Telecommuting Options: Onsite

Pay

The likely salary range for this position is $129,813 - $149,500. Salary will be set based on experience, geographic location, and possibly contractual requirements.

Benefits

• Comprehensive medical, dental, and vision plan options, some with Health Savings Accounts.
• 401(k) plan with company match (pre- and post-tax contributions up to IRS annual limits).
• Paid time off: vacation, sick, personal time, holidays, parental, military, bereavement, and jury duty leave.
• Short- and long-term disability benefits, life insurance, accidental death and dismemberment, personal accident, critical illness, and business travel and accident insurance.
• Flexible work weeks where possible.
• AI-powered career tool for identifying career steps and learning opportunities.
• Internal mobility team focused on career growth.

Work Location

USA VA Yorktown or USA PA Mechanicsburg.