Senior Data Engineer — Public Sector (Top Secret)

United States Digital Space LLC; Washington (District of Columbia); On-site; USD 200,000 - 250,000; Full time

Benefits offered by this job

Health, dental and vision coverage

Retirement benefits

Learning and development stipend

Generous PTO

Commuter stipend

Job summary

United States Digital Space LLC in Washington, DC is seeking a Senior Data Engineer for the Public Sector. You will build scalable BI infrastructure, data warehouse and data marts, and expose data across the unit to enable timely decisions.

Collaboration with leadership and cross-functional teams is key to delivering reliable data models, pipelines, and insights. The role requires 5+ years in data modeling and analytics, strong SQL, Python or R, and experience implementing DBT-based

Qualifications

• 5+ years of experience applying data modeling and analytics.
• Extensible, scalable data schemas and pipelines for downstream analysis.
• Mastery of SQL and relational databases; programming in Python or R.
• Experience building transformation layers with DBT for data insights.

Responsibilities

• Build scalable data pipelines and warehouse/data mart and BI reporting environments.
• Expose data across the business unit to support decision-making and exploration.
• Collaborate with leadership and cross-functional teams to solve complex data problems.
• Conduct ad-hoc analyses and develop core data models and pipelines.
• Perform regular system audits and data quality tests.

Skills

SQL

Relational databases

Python

R

Data modeling

DBT

Tools

DBT

Data pipelines

Job description

United States Digital Space LLC in Washington, DC is seeking a Senior Data Engineer for the Public Sector. You will build scalable BI infrastructure, data warehouse and data marts, and expose data across the unit to enable timely decisions.

Collaboration with leadership and cross-functional teams is key to delivering reliable data models, pipelines, and insights. The role requires 5+ years in data modeling and analytics, strong SQL, Python or R, and experience implementing DBT-based