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← ParetoHealth

Senior Data Engineer

ParetoHealth
Location
Remote
Posted
1 month ago
Department
Tech
What they actually want (must-haves)
  • Strong experience with AWS data and serverless services (Lambda, Glue, Athena, S3, Step Functions or similar orchestration tools)
  • Advanced proficiency in Python and SQL, with experience in relational and NoSQL databases
  • Experience with MLOps practices, including versioned feature and training datasets
  • Solid understanding of data modeling principles for AI workloads
  • Experience designing and operating data pipelines at scale
  • Familiarity with SQL and query optimization in columnar data stores
Nice to have
  • Hands-on experience with PySpark for distributed data processing
  • TypeScript experience for AWS CDK
  • Experience with Kafka
  • Kedro or similar workflow experience
  • Regulated-domain experience, preferably healthcare claims or insurance
What the job really is

The Senior Data Engineer at ParetoHealth will design, build, and maintain serverless data pipelines and models on AWS to provide analytics-ready data for AI and Analytics teams. This role involves developing ETL/ELT workflows, ensuring data quality, and collaborating with various stakeholders to meet data requirements. The engineer will also support MLOps practices, optimize data workloads, and document data processes.

Benefits
  • Fully paid medical, dental, and vision benefits
  • Flexible PTO
  • 401k company contribution
  • Tuition reimbursement
  • Professional development allowance
  • Transportation allowance and daily parking reimbursement
Things to weigh
  • No salary listed
  • Remote position may require self-discipline and effective communication
  • Candidates must be authorized to work in the U.S. without sponsorship
  • Strong emphasis on AWS and serverless technologies may limit exposure to other platforms
Job score3.4/5
Benefits4/5
Freshness4/5
Career value4/5
Role clarity5/5
Pay transparency0/5

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