Full-Stack Data Engineer

Description

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS

MOTOR Information Systems an operating group of Hearst is actively seeking a Full-Stack Data Engineer. Ideally a hands-on data engineer who possesses a strong passion for designing optimizing refactoring and upgrading complex data solutions! MOTORs primary product is Automotive Content and we need someone who can help us support our Insights-based product suite.

We are looking for someone who wants to be part of our mission to transform the future. We have a rare opportunity for you to use your talent passion and expertise to help drive this massive change in how we build our user experience across our product lines and how consumers experience the MOTOR Product Platform.

This position offers excellent career growth and promotional opportunities stellar compensation and the ability to work with the worlds premier provider of aftermarket automotive data. Hearst / MOTOR Information Systems will be the best and last place youll ever work!

Required Experience (Must Have)

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)

Helpful Experience (Nice to Have)

Experience with LLMs Machine Learning & Deep Learning Libraries AI Application Frameworks Vector Databases

Experience with Automotive Data / Industry

Experience with Agile / Scrum

Primary Responsibilities

• 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

EEO EMPLOYER

Required Experience :

IC

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full-Time

Experience : years

Vacancy : 1