Senior Data Engineer, Public Sector

Scale AI

Washington (District of Columbia)

On-site

USD 150,400 - 259,000

Full time

14 days+

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Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
Retirement benefits
Learning & development stipend
Generous PTO
Commuter stipend

Job summary

Scale AI in Washington, DC is seeking a Data Engineer for the Public Sector unit to build analytical and BI infrastructure supporting millions of tasks through our APIs. You will design and expose data across the business unit to empower timely decision-making and data exploration, including a data warehouse, data mart, and BI reporting environments.

This role requires collaboration with leadership and cross-functional teams to create core data models, pipelines, and scalable solutions that

Qualifications

  • 5+ years of data engineering experience with data modeling and analytics.
  • Ability to design extensible and scalable data schemas and pipelines.
  • Expertise in SQL and relational databases; Python or R proficiency.

Responsibilities

  • Develop pipelines delivering single-source-of-truth data.
  • Improve pipelines and enable self-service for stakeholders.
  • Perform data quality tests and audits.
  • Build scalable data models and tables.
  • Collaborate with operations, finance, and engineering.

Skills

SQL & relational DBs
Python/R
Data modeling
Data pipelines

Tools

DBT

Job description

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.

This role requires collaboration with leadership and cross‑functional teams to solve complex problems and develop sustainable, scalable data solutions. 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.

Responsibilities
  • 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)
Ideal Qualifications
  • 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 as DBT to create a foundation for data insights
Compensation and Benefits

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job‑related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

The base salary range for this full‑time position in the location of Washington DC is: $150,400—$259,000 USD.

Our policy requires a 90‑day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

EEO Statement

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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