Hybrid Senior Data Engineer - AWS Platform Lead

Hearst; Troy (MI); Hybrid; USD 130,000 - 180,000; Full time

Benefits offered by this job

Hybrid schedule: 3 days onsite in Troy

Job summary

MOTOR Information Systems, a Hearst company, seeks a hands-on Senior Data Engineer to architect and evolve an AWS-based data platform, owning data pipelines and delivering scalable solutions across the product suite.

You will tackle large-scale data challenges, drive architectural decisions, mentor teammates, and help shape a modern, cost-efficient data architecture enabling AI-driven capabilities across products.

Qualifications

• Expert Python and SQL development experience.
• Strong AWS experience including Lambda, Glue, State Machines, Fargate and RedShift.
• Experience with Databricks, Delta Lake, notebooks, SQL Analytics.
• Experience with Kubernetes and container orchestration.
• DevOps, CI/CD, Deployment Orchestration experience.
• Experience with data handling tools like Pandas/NumPy, Spark, Ray.

Responsibilities

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

Skills

Python

SQL

Automation

Pandas/NumPy

Apache Spark

Ray

Tools

AWS

Databricks

Kubernetes

Octopus Deploy

CloudFormation

RedShift

Job description

MOTOR Information Systems, a Hearst company, seeks a hands-on Senior Data Engineer to architect and evolve an AWS-based data platform, owning data pipelines and delivering scalable solutions across the product suite.

You will tackle large-scale data challenges, drive architectural decisions, mentor teammates, and help shape a modern, cost-efficient data architecture enabling AI-driven capabilities across products.