Analytics Engineer / Data Scientist (Full Stack)

Awetomaton • St. Louis, MO

17h • Hybrid

About The Position

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.

Requirements

• Strong data modeling and SQL skills
• Experience building transformations that integrate cloud cost and usage data (billing reports such as AWS CUR 2.0)
• Experience building transformations that integrate platform usage metrics (telemetry systems like Prometheus)
• Experience building transformations that integrate 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

Nice To Haves

• Active Top Secret security clearance
• 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

Responsibilities

• Develop and implement data models that support cost analysis, reporting, and decision-making.
• Transform raw data into accurate, well-structured datasets.
• Build logic that enables clear, explainable insights for cost accounting and associated customer billing.
• Communicate effectively with technical and business stakeholders.
• Translate complex business logic into clear, reliable data transformations.
• Produce accurate, well-documented, and explainable datasets.
• Demonstrate strong analytical thinking and attention to detail.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1-10 employees