Analytics Engineer / Data Scientist (Full Stack)

Posted 2 Days Ago
St Louis, MO, USA
In-Office
25K-25K Annually
Senior level
Information Technology • Consulting
The Role
The Analytics Engineer/Data Scientist will develop data models for cost analysis and reporting, transforming raw data into structured datasets and providing insights for customer billing.
Summary Generated by Built In

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

Required 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.

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The Company
Dayton, Ohio
26 Employees
Year Founded: 2020

What We Do

Awetomaton is a team of curious, tenacious, and seasoned analysts and engineers. Let us make your cloud and data adventure a joy

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