United States onlyType of Requisition:
RegularClearance Level Must Currently Possess:
NoneClearance Level Must Be Able to Obtain:
NonePublic Trust/Other Required:
MBI (T2)Job Family:
Data Science and Data EngineeringJob Qualifications:
Skills:
Data Access, Data Flows, Datasets, Datasource, Data Warehousing (DW)Certifications:
NoneExperience:
3 + years of related experienceUS Citizenship Required:
YesJob Description:
DATA ENGINEER
Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. As a Data Engineer at GDIT, you’ll power innovation to drive mission impact and grow your expertise to power your career forward.
MEANINGFUL WORK AND PERSONAL IMPACT
As a Data Engineer, the work you’ll do at GDIT will be impactful to the mission of
IRS - Unified Application Programming Interface (UAPI)
. You will play a crucial role in leading data pipeline projects and mentoring junior engineers.
● Lead/Manage/Support building and optimizing ETL/ELT pipelines using tools like Apache Airflow, Spark, dbt, Kafka, Databricks, or Flink.
● Collaborate with IRS and Treasury Department Information Technology personnel.
● Drive modernization of APIs that provide data access that replace legacy command codes while ensuring secure, validated, and scalable integration.
● Utilize SQL, Python or Scala, and working with data warehouses (Snowflake, BigQuery, Redshift) and data lakes (e.g., Delta Lake, Lakehouse architecture), Apache Airflow, Spark, dbt, Kafka, Databricks, or Flink.
WHAT YOU’LL NEED TO SUCCEED
Bring your expertise and drive for innovation to GDIT. The Data Engineer must have:
● Education: Bachelor of Science
● Experience: 3+ years of related experience
● Technical skills: SQL, Python or Scala, and working with data warehouses (Snowflake, BigQuery, Redshift) and data lakes (e.g., Delta Lake, Lakehouse architecture), Apache Airflow, Spark, dbt, Kafka, Databricks, or Flink
● Security clearance level: Minimum Background Investigation
● US citizenship required
● Role requirements: : 3–5+ years in data engineering or backend data systems, with experience leading data pipeline projects and mentoring junior engineers
GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.
● Growth: AI-powered career tool that identifies career steps and learning opportunities
● Support: An internal mobility team focused on helping you achieve your career goals
● Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
● Flexibility: Full-flex work week to own your priorities at work and at home
● Community: Award-winning culture of innovation and a military-friendly workplace
OWN YOUR OPPORTUNITY
Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.
Scheduled Weekly Hours:
40Travel Required:
NoneTelecommuting Options:
RemoteWork Location:
Any Location / RemoteAdditional Work Locations:
