Staff Engineer, Analytics Engineering

Stellantis; Auburn Hills (MI); On-site; USD 110,000 - 150,000; Full time

Job summary

Stellantis is seeking an Analytics/Data Engineer to design, develop, and maintain data pipelines powering data-driven decisions. You will work with data scientists, analysts, and engineers to ensure scalable, reliable, and secure data infrastructure using Spark, SQL, Python, and Databricks.

You will implement data quality checks, CI/CD, and documentation, and apply best practices for testing and code reviews.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field is required.
• 5+ years of experience as a Data Engineer or similar role.
• Strong proficiency in SQL, Python, and Spark.
• Familiarity with the 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.

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 CI/CD.

Skills

Strong communication

Team collaboration

Independent worker

Education

Bachelor's degree in CS/IT

Tools

Databricks

Git

CI/CD

AWS Redshift

Snowflake

Job 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.

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

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.

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

At Stellantis, we assess candidates based on qualifications, merit, and business needs. We welcome applications from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. We believe that diverse teams reflect our identity as a global company, enabling us to better address the evolving needs of our customers and care for our future.