Senior Data Engineer — AWS Data Platform & Pipelines

Hearst Corporation; Troy (MI); Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Hybrid work schedule

Job summary

Hearst Corporation’s MOTOR team seeks a hands-on Senior Data Engineer to architect, build, and evolve an AWS-based data platform. You will own data pipelines and influence data architecture across products, delivering scalable, reliable, and cost-efficient solutions.

As a senior member, you’ll mentor colleagues, collaborate with product teams, and drive best practices to modernize the data stack for AI-driven capabilities, with a hybrid work schedule in Troy, MI.

Qualifications

• Expert Python & SQL development experience.
• Strong AWS experience including Lambda, Glue, and RedShift.
• Experience with semi-structured data: XML, CSV, JSON, Parquet.
• Automation and CI/CD deployment experience.
• Familiarity with Databricks, Kubernetes, and data frameworks.

Responsibilities

• Analyze large, complex data sets.
• Design, develop and coordinate generation of data pipelines.
• Collaborate to plan and solve complex problems.
• Design for performance and cost optimization.

Skills

Python

SQL

Data pipelines

Automation

Team collaboration

Tools

AWS

Databricks

Kubernetes

Octopus Deploy

Delta Lake

RedShift

Lam bda

Job description

Hearst Corporation’s MOTOR team seeks a hands-on Senior Data Engineer to architect, build, and evolve an AWS-based data platform. You will own data pipelines and influence data architecture across products, delivering scalable, reliable, and cost-efficient solutions.

As a senior member, you’ll mentor colleagues, collaborate with product teams, and drive best practices to modernize the data stack for AI-driven capabilities, with a hybrid work schedule in Troy, MI.