Senior Data Engineer, Public Sector
Scale AI · Washington, DC · Data, Technology & Systems · listed July 11, 2026
The shape of it
Seniority
Senior
Experience asked
5+ years
Where
Not stated
Stated pay
$200,000 – $250,000 USD
Requirements listed
4
Length
777 words
In the posting’s own words
As a Data Engineer for the Public Sector business unit, you will build Scale's analytical and business-intelligence infrastructure. Scale's customers process millions of tasks through our APIs, and we're looking for a talented Data Engineer to build scalable solutions to support this growth. You will have widespread purview, with responsibility for understanding, mining, aggregating, and exposing data across the entire business unit to support timely and efficient decision-making and data exploration. You will also implement Scale's data warehouse, data mart, and business intelligence reporting environments, and help users transition their workflows to these systems.
What it asks for · 4
- 5+ years of relevant work experience in a role requiring application of data modeling and analytic skills
- Ability to create extensible and scalable data schema and pipelines that lay the foundation for downstream analysis
- Mastery of SQL and relational databases; experience with programming languages (e.g., Python/R)
- Experience building a reliable transformation layer and pipelines from ambiguous business processes using tools such DBT to create a foundation for data insights
Tools and skills named
Data
- Data modeling
- Data pipelines
- Data warehouse
Languages
- Python
- SQL
Security & compliance
- Security
Ways of working
- Cross-functional
Words the posting leans on
- data15×
- pipelines6×
- business5×
- scalable4×
- create3×
- data engineer3×
- experience3×
- solutions3×
- support3×
- analytical2×
- build2×
- business unit2×
- data models2×
- develop2×
- foundation2×
- public sector2×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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