Hearst Health

Full-Stack Data Engineer

Hearst Health

full-time

Posted on:

Location Type: Hybrid

Location: Troy • Missouri • United States

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Tech Stack

Amazon RedshiftApacheAWSAzureCloudKubernetesNumpyPandasPythonRaySparkSQL

About the role

  • Analyze large, and complex, data sets
  • Design, develop and coordinate the generation of Data Pipelines
  • Work collaboratively with team to plan and solve complex problems
  • Design for, or optimize existing pipelines, for performance and cost

Requirements

  • Expert Python Developer
  • Strong SQL Developer
  • Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift)
  • Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet)
  • Strong Automation Experience
  • Experience with Databricks (Delta Lake, Notebooks, SQL Analytics)
  • Experience with Kubernetes (Cluster Orchestration, Container Networking, Pod Management)
  • Experience with DevOps, CI/CD, Deployment Orchestration (Octopus Deploy)
  • Experience with Git and Azure DevOps
  • Experience with Agentic AI (LangGraph, MCP Servers, Agent Frameworks)
  • Experience with Data Handling (Pandas / NumPy, Apache Spark, Ray)
Benefits
  • Excellent career growth and promotional opportunities
  • Stellar compensation
  • Ability to work with the world's premier provider of aftermarket automotive data
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonSQLAWSLambdaGlueState MachinesFargateCloud FormationRedShiftSemi-Structured Data
Soft Skills
collaborationproblem solvingoptimization