Staff Engineer, Analytics Engineering

Stellantis • Auburn Hills, MI

2d

About The Position

We are seeking a talented and experienced Analytics/Data Engineer to join the team. In this role, you will design, develop, and maintain data pipelines that support data-driven decision making. You will work closely with data scientists, analysts, and other engineers to help ensure the data infrastructure is reliable, scalable, and secure.

Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• At least 5 years of experience as a Data Engineer or in a similar role.
• Strong proficiency in SQL, Python, and Spark.
• Familiarity with the Databricks platform.
• Experience with Git and software development best practices, including unit testing, code reviews, and CI/CD.
• Experience leveraging Gen AI tooling.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team.

Nice To Haves

• Experience with data warehousing and data lakes, such as AWS Redshift or Snowflake.

Responsibilities

• Design, develop, and maintain scalable and efficient data pipelines using Spark, SQL, and Python.
• Use the 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 clearly and concisely.
• Use Git for version control and maintain a clean, 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 advancements in data engineering technologies and best practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior