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# Staff Engineer, Analytics Engineering

- **Company:** Fiat Chrysler Automobiles N.V.
- **Location:** Auburn Hills, MI, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Unit Testing, Code Review, Continuous Delivery, Continuous Integration, Information Engineering, Data Infrastructure, Data Warehousing, Decision Support Systems, Document-Oriented Databases, Python (Programming Language), SQL Databases, Software Organization, Snowflake, Apache Spark, Generative AI, Git, Data Lakes, Information Technology, Data Pipelines, Amazon Redshift, Databricks, Programming Languages
- **Published:** November 7, 2026
- **Apply:** https://careers.stellantis.com/job/24118458/staff-engineer-analytics-engineering-auburn-hills-mi/

## About the Role

Do you have a passion for building innovative data pipelines and transforming raw data into actionable insights? Are you an expert in programming languages like Spark, SQL, and Python, and thrive in a collaborative environment? If so, we want to hear from you!, * Bachelor's degree in Computer Science, Information Technology, or a related field

 * Minimum 5 years of experience as a Data Engineer or similar role
 * Strong proficiency in SQL, Python, and Spark
 * Familiarity with Databricks platform
 * Experience with data warehousing and data lakes (e.g., AWS Redshift, Snowflake) is a plus
 * Experience with Git and software development best practices (unit testing, code reviews, CI/CD)
 * Experience leveraging Gen AI tooling.
 * Excellent communication and collaboration skills
 * Ability to work independently and as part of a team

## Description

We are seeking a talented and experienced Analytics/Data Engineer to join our growing team. In this role, you will play a key part in designing, developing, and maintaining the data pipelines that power our organization's data-driven decision making. You will work closely with data scientists, analysts, and other engineers to ensure that our data infrastructure is reliable, scalable, and secure., * Design, develop, and maintain scalable and efficient data pipelines using Spark, SQL, and Python

 * Utilize Databricks platform to build and manage data processing workflows
 * Clean, transform, and integrate data from various sources into a unified and consistent format
 * Implement data quality checks and monitoring processes to ensure data accuracy and completeness
 * Collaborate with data scientists and analysts to understand their data needs and develop solutions
 * Document data pipelines and processes using clear and concise language
 * Utilize Git for version control and maintain a clean and collaborative development environment
 * Follow software development best practices, including unit testing, code reviews, and continuous
 * integration/continuous delivery (CI/CD)
 * Stay up to date with the latest advancements in data engineering technologies and best practices.