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Open nowPosted 10 hours ago

Staff Engineer, Analytics Engineering

Stellantis420 open roles

Where
Auburn Hills, MI, USA
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Your applicationOpen nowStaff Engineer, Analytics EngineeringStellantis · Auburn Hills, MI, USA

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

13.5% of postings close within 7 days. Measured by our own scanner across the market. Stellantis postings stay open a median of 9 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.6%3 days
  3. 13.5%7 days
  4. 21.8%14 days
  5. 36.6%30 days
  6. 58.9%60 days
This job: posted 10 hours ago

Stellantis median: 9 days open

The posting

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
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