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Awetomaton

Analytics Engineer / Data Scientist

St. Louis, MO Posted 2026-04-28
Type
Full-time
Experience
5+ yr
Source
Greenhouse
Awetomaton is seeking a full stack Analytics Engineer / Data Scientist to develop and implement data models that support cost analysis, reporting, and decision-making for an existing customer. In this role, you will transform raw data into accurate, well-structured datasets and build logic that enables clear, explainable insights for cost accounting and associated customer billing. The ideal candidate will have a BS degree or higher and have 5+ years of experience.
This position can be performed out of St. Louis, MO (preferred) or Dayton, OH. Active Top Secret security clearance preferred . We are looking for a candidate to start in the mid- May 2026 timeframe.
Criteria for success


• Communicates effectively with technical and business stakeholders

• Translates complex business logic into clear, reliable data transformations

• Produces accurate, well-documented, and explainable datasets

• Demonstrates strong analytical thinking and attention to detail

 
Req uired Experience and Skills


• Strong data modeling and SQL skills

• Experience building transformations that integrate:




• Cloud cost and usage data (billing reports such as AWS CUR 2.0)

• Platform usage metrics (telemetry systems like Prometheus)

• Customer, organizational, or billing metadata




• Experience creating reusable data models (dbt or similar)

• Familiarity with cloud cost data (AWS CUR 2.0, tagging, usage metrics)

• Ability to translate business logic into deterministic code

• Analytical mindset with attention to accuracy and reconciliation



• Bachelor of Science in Data Science, Computer Science, Information Systems, or related discipline  

 
Desired Education and Experience


• Master of Science in Data Science, Computer Science, Information Systems, or related field  

• Five (5)+ years of experience in analytics engineering, data science, or related roles

• Familiarity with cloud cost management, tagging strategies, and usage-based analytics

• Background in working with federal government, Department of Defense, and/or the Intelligence Community
About Awetomaton
We build software that enables humans to make informed decisions from raw intel data, with a specialization in satellite collection. We are a Dayton-based defense startup that believes there is a critical skill & culture gap - one we are filling with high-output, mission focused engineering talent. Results matter to our customers. We've never lost a customer because we deliver what they need. Awetomaton is where you do work that matters with a passionate team in an environment that inspires your creativity.
Benefits
We provide industry leading benefits that balance your health & wellbeing today, as well as lay a solid financial future into retirement. Highlights of our benefit plan include:


• Flexible time off totaling 36 days / year. No approvals required.

• 100% 401k company match up to IRS annual limits. This is a benefit of up to $24,500 for 2026.

• Health plan through Blue Cross Blue Shield with Health Savings Account (HSA). We pay 95% of employee premiums including family plans.

• Employee favorite: Tech and Wellness reimbursement of $3000 / year. Treat yourself with the newest gadgets or athletic gear. No approvals required.

• Annual profit sharing as 401k contribution. No set percent and dependent on annual company performance. Benefit is above and beyond 401k match.

• MacBook laptop and well-equipped office spaces for optimal productivity in office and on-the-go.
AWSdbt
Awetomaton is hiring for the analytics engineer / data scientist role. NewJob aggregates active openings directly from Awetomaton's applicant tracking system, so this listing is current. More jobs at Awetomaton →
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