Staff Engineer, Analytics Engineering
Stellantis Auburn Hills, Michigan, United States
Motor Vehicle Manufacturing · 10,001+ employees
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About the role
Design, develop, and maintain scalable data pipelines using Spark, SQL, and Python to support data-driven decision making. Collaborate with data scientists and analysts to ensure data infrastructure is reliable, secure, and meets organizational needs.
What they look for
Requirements
Requires a bachelor's degree in Computer Science or a related field and a minimum of 5 years of experience in data engineering. Candidates must possess strong proficiency in SQL, Python, Spark, and experience with Databricks and software development best practices.
Full description
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!
About the role:
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.
Responsibilities:
- 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.
Qualifications
Basic Qualifications:
- 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
