Stellantis

Data Engineer

Stellantis • $100K — $130K *
Auburn Hills, MI 48326In-Person
Information Technology
5 - 7 years of experience
2 weeks ago
Job Overview by Ladders

Qualifications

  • BA/BSc in Computer Science, Engineering, Mathematics, or a related field
  • 5+ years in data engineering and software development lifecycle
  • 4+ years maintaining production data applications in relational and columnar data stores
  • 4+ years of experience with AWS cloud services
  • Proficiency in programming languages like Python, Java, or Rust
  • Deep knowledge of Big Data platforms such as Spark and AWS S3
  • Familiarity with event-driven architectures and tools like Kafka and Flink

Responsibilities

  • Design and implement complex data processing pipelines using Apache Spark
  • Build scalable, distributed systems for high-throughput data streams
  • Manage and provision cloud infrastructure with Terraform
  • Implement and maintain GitHub Actions for CI/CD automation
  • Uphold software engineering standards through testing and code reviews
  • Collaborate with stakeholders to convert business needs into technical specs

Benefits

  • Opportunity to work in a fast-paced environment
  • Engagement in cutting-edge data architecture and engineering practices
  • Exposure to a wide range of technologies including Big Data and cloud services
  • Collaborative culture that emphasizes teamwork and innovation
  • Continuous learning and development opportunities
Full Job Description
The AI & Data Analytics Team is looking for a Senior Data Engineer to join our team. In this role, you will be responsible for designing, building, and optimizing robust data pipelines that process massive datasets in both batch and real-time. You will work at the intersection of software engineering and data science, ensuring that our data architecture is scalable, reliable, and follows industry best practices.

Priorities can change in a fast-paced environment like ours, so this role includes, but is not limited to, the following responsibilities:

  • Pipeline Development: Design and implement complex data processing pipelines using Apache Spark.
  • Architectural Leadership: Build scalable, distributed systems that handle high-throughput data streams and large-scale batch processing.
  • Infrastructure as Code: Manage and provision cloud infrastructure using Terraform.
  • CI/CD & Automation: Streamline development workflows by implementing and maintaining GitHub Actions for automated testing and deployment.
  • Code Quality: Uphold rigorous software engineering standards, including comprehensive unit/integration testing, code reviews, and maintainable documentation.
  • Collaboration: Work closely with stakeholders to translate business requirements into technical specifications.


Basic Qualifications:
  • BA/BSc in Computer Science, Engineering, Mathematics, or a related technical discipline
  • 5+ years of experience in the data engineering and software development life cycle.
  • 4+ years of hands-on experience in building and maintaining production data applications, current experience in both relational and columnar data stores.
  • 4+ years of hands-on experience working with AWS cloud services
  • Comprehensive experience with one or more programming languages such as Python, Java, or Rust
  • Comprehensive experience working with Big Data platforms (i.e., Spark, Google Big Query, Azure, AWS S3, etc.)
  • Familiarity with time series database, data streaming applications, event driven architectures, Kafka, Flink, and more
  • Experience with workflow management engines (i.e., Airflow, Luigi, Azure Data Factory, etc.)
  • Experience with designing and implementing real-time pipelines
  • Experience with data quality and validation
  • Experience with API design
  • Distributed Computing: Deep expertise in Apache Spark (Core, SQL, and Structured Streaming).
  • Programming Mastery: Strong proficiency in Scala or Java. You should be comfortable building production-grade applications in a JVM-based environment.
  • SQL Proficiency: Advanced knowledge of SQL for data transformation, analysis, and performance tuning.
  • DevOps & Tools: Hands-on experience with Terraform for infrastructure management and GitHub Actions for CI/CD pipelines.
  • Software Engineering Foundation: Solid understanding of data structures, algorithms, and design patterns. Experience applying "Clean Code" principles to data engineering.
  • Stream Processing: Experience with Apache Flink for low-latency stream processing.
  • Scripting: Proficiency in Python for automation, data analysis, or scripting.
  • Cloud Platforms: Experience with AWS, Azure, or GCP data services (e.g., EMR, Glue, Databricks).
  • Data Modeling: Familiarity with dimensional modeling, Lakehouse architectures (Delta Lake, Iceberg), or NoSQL databases.


Preferred Qualifications:
  • Comprehensive knowledge of relational database concepts, including data architecture, operational data stores, Interface processes, multidimensional modeling, master data management, and data manipulation
  • Expert knowledge and experience with custom ETL design, implementation and maintenance
  • Comprehensive experience designing, implementing, and iterating data pipelines using Big Data technologies
  • Certification in AWS or other cloud providers
  • Experience with Databricks notebook workflows
  • Experience with Terraform

About Stellantis

Stellantis is a multinational automotive manufacturer formed in 2021 by the merger of Fiat Chrysler Automobiles and Groupe PSA. The company designs, produces, and sells a wide range of vehicles under various brands, including Alfa Romeo, Chrysler, Citroen, Dodge, DS Automobiles, Fiat, Jeep, Lancia, Maserati, Opel, Peugeot, Ram, and Vauxhall. Stellantis operates in over 130 countries and has 14 brands in its portfolio. The company is committed to sustainable mobility and has set ambitious targets for reducing its carbon footprint and increasing the share of electric vehicles in its sales.
Learn more about Stellantis
Size
400,000 employees
Market Cap
$44.9 billion
Industry
Manufacturing & Automotive
* Ladders Estimates

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