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Junior AI Data Lake Cost Monitoring Developer

Infera Cloud

Remote · $60k – $80k / year · Contract · Posted 4 months ago

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About the role

We process 4 petabytes per month across our clients' data lakes, and the query costs that land on their AWS bills every month are rarely what anyone expected. A data scientist runs an unoptimized query across 3 years of raw event logs and uses $800 of Athena compute in 4 minutes. A scheduled pipeline stops using partition pruning after a schema change and triples its cost overnight. Nobody notices until the bill arrives. This is a 6-month contract to build the cost monitoring layer that catches these situations proactively. You'll instrument query logs, build cost attribution by team and use case, create alerting for unusual spend patterns, and produce the weekly cost reports that platform teams use to prioritize optimization work. The senior infrastructure engineers will guide the technical approach; your job is to build the monitoring infrastructure and keep it running. If you're a junior developer who wants to learn data platform engineering from the inside — understanding how petabyte-scale data lakes actually work and how real engineering teams manage their costs — this is a direct window into that world.

Fully remote.

Responsibilities

  • Instrument query logs to capture cost attribution by team and job type
  • Build cost anomaly alerting for unexpected spend spikes
  • Create weekly cost reports by team, pipeline, and query category
  • Implement partition usage analysis to identify optimization opportunities
  • Monitor cost trends over time and flag regression after schema or pipeline changes
  • Document cost monitoring architecture for client platform teams

Requirements

  • 1+ year of Python and SQL development experience
  • Basic familiarity with AWS services: S3, Athena, Glue, or similar
  • Interest in data platform engineering and cloud cost management
  • Attention to detail in financial data and cost calculations
  • Reliable remote work habits with good async communication

Benefits

  • Fully remote contract position
  • Competitive hourly rate
  • Mentorship from senior infrastructure engineers
  • Exposure to petabyte-scale data lake architectures
  • Potential to extend or convert to full-time

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Categories

MLOps & AI Infrastructure Data Science & Analytics

Skills

python sql aws airflow docker

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Language

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Salary Range

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AI Expertise

MLOps & AI Infrastructure Data Science & Analytics

Skills

python sql aws airflow docker pandas

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