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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.
You will:
- 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)
- 2+ 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
The base salary range for this full-time position in the location of Washington DC is:
$119,000—$155,000 USD
PLEASE NOTE: 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.
About Us:
At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.
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 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 .
PLEASE NOTE: 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.
Seniority level
Seniority level
Entry level
Employment type
Employment type
Full-time
Job function
Job function
Information TechnologyIndustries
Software Development
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