Produce technical documentation and delivery artifacts required for project execution
What You Will Need
Level and Compensation: This position may be filled at multiple career levels based on business need and the selected candidate's qualifications, relevant experience, and demonstrated capability. Typical leveling for this role is as follows:
Junior (0 to 4 years)
Mid-Level (5 to 9 years)
Senior (10 to 14 years)
Principal (15 or more years)
These ranges are guidelines only and are not the sole determining factor in level. The posted compensation range reflects the full range across all possible levels. Individual offers will be based on the level at which the candidate is hired, as well as factors such as skills, experience, internal equity, and geographic market considerations where applicable.
Education and Experience
Bachelor's degree in Computer Science, Engineering, Information Systems, Data Engineering, or a related technical field, or equivalent practical experience
Relevant professional experience in data engineering, data integration, pipeline development, or related roles; the depth and scope of experience required will vary based on the level at which this position is filled
Experience designing and supporting data processing workflows in professional environments preferred
Experience working in cloud, hybrid, or enterprise data environments preferred
Knowledge, Skills, and Abilities
Proficiency in Python and SQL
Familiarity with ETL/ELT, data integration, and pipeline development
Familiarity with data lakes, lakehouses, data warehouses, and modern data platform patterns
Exposure to large-scale or high-throughput data processing environments a plus
Working knowledge of schema design, data modeling, and database optimization
Familiarity with orchestration and transformation tools used in modern data engineering environments
Strong collaboration and documentation skills
Nice to Have
Experience in a federal, public sector, statistical, or regulated data environment
Familiarity with demographic, geographic, or survey-related datasets
Exposure to graph-based data structures or knowledge graph use cases
Experience with secure cloud data platforms
Reporting Relationships
The incumbent reports directly to the Chief Data Scientist in Global Technology or other management or executive level positions. May have individual contributor direct reports.
Location
This position is based in the Washington, D.C. metro area, with primary work performed in Suitland, Maryland. Remote or hybrid arrangements may be available for eligible work, subject to government approval.
Notice: This role has been opened for a future need expected within three months of the original posting date of this position. Potential candidates may not receive communication until the open headcount is confirmed.
