Staff Engineer, Analytics Engineering

Stellantis NV; Auburn Hills (MI); In loco; USD 120.000 - 160.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health insurance

Paid time off

401(k) plan

Company vehicle lease

Descrizione del lavoro

Stellantis NV in Auburn Hills, MI seeks an Analytics/Data Engineer to design, build, and maintain scalable data pipelines powering data-driven decisions across teams. You will collaborate with data scientists, analysts, and engineers to ensure reliable, secure data infrastructure.

You will work with Spark, SQL, Python, and Databricks to transform raw data into insights, implement data quality checks, and contribute to CI/CD practices.

Competenze

• 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.

Mansioni

• 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.

Conoscenze

SQL

Python

Spark

Data modeling

Data quality

CI/CD

Git

Collaboration

Gen AI tooling

Formazione

Bachelor's degree in Computer Science, IT, or related field

Strumenti

Databricks

AWS Redshift

Snowflake

Descrizione del lavoro

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

Our Benefits — Designed with You in Mind

Comprehensive Health & Well-being Coverage

From your very first day, you'll have access to medical, dental, vision, and prescription drug coverage — ensuring you and your family stay healthy and protected.

Generous Paid Time Off

We believe in work-life balance. That's why we offer: 17+ paid holidays, including shut-down from December 24th through New Years Day every year. Vacation, float & wellbeing days, sick time and fully paid parental leave when your family needs you most.

Competitive Retirement Savings Plans

We help you plan for the future with:

• An employer match on contributions to your 401k, Roth, and Catch-Up plans
• An employer contribution, even if you don't contribute

Income Protection & Insurance Options

Benefit from included and optional disability, life, and other insurance programs — because your peace of mind matters.

Company Vehicle Lease Program

Eligible employees and their immediate families can enjoy company vehicle lease options with included insurance, maintenance, and unlimited mileage. Plus, take advantage of exclusive discounts on Stellantis products.

Family Building Benefit

We proudly support all paths to parenthood- including fertility and infertility treatments, adoption services, and gestational surrogacy.

Support for Your Growth and Giving Back

We believe in investing in your future and your passions:

• Tuition reimbursement
• Student loan refinancing programs
• 18 paid volunteer hours each year to make a difference in your community

And so much more!

When you join us, you're not just building a career — you're joining a company that supports you, inside and outside of work.