Summary
What you’ll impact
The Data Engineer for the Public Sector unit will build the organization's analytical and business‑intelligence infrastructure, including data warehouses, data marts, and reporting environments. The role involves developing scalable data pipelines, ensuring data quality, and collaborating with operations, finance, and engineering to provide a single source of truth for decision‑making.
Responsibilities
What you'll do
- As a Data Engineer for the Public Sector business unit, you will build Scale's analytical and business-intelligence infrastructure.
- You will also implement Scale's data warehouse, data mart, and business intelligence reporting environments, and help users transition their workflows to these systems.
- 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.
- Your responsibilities will include both ad-hoc analyses and the creation of core data models and pipelines, directly impacting how Scale operates and evaluates its performance.
- Work with operations, finance, and engineering to drive the development of pipelines that provide single-source-of-truth foundational accuracy
- Continually improve ongoing data pipelines and simplify self-service support for business stakeholders
- Perform regular system audits, and create data quality tests to ensure complete and accurate reporting of data/metrics
- Develop repeatable, scalable analytical solutions, such as data models, improved pipelines, or better underlying tables
- Have an active Secret security clearance (Top Secret preferred)
Requirements
What you’ll bring
- 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
- Have an active Secret security clearance (Top Secret preferred)