Stellantis · 13 hours ago
Data Engineer
Stellantis is looking for a Senior Data Engineer to join their AI & Data Analytics Team. In this role, you will design, build, and optimize data pipelines for processing massive datasets, ensuring that the data architecture is scalable and reliable.
AutomotiveIndustrial ManufacturingRetailTransportation
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
Qualification
Required
BA/BSc in Computer Science, Engineering, Mathematics, or a related technical discipline preferred
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
Certification in AWS or other cloud providers
Experience with Databricks notebook workflows
Experience with Terraform
Company
Stellantis
Stellantis is an Franco-Italian-American automotive holding company that manufactures automobiles.
H1B Sponsorship
Stellantis has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (3)
2023 (2)
Funding
Current Stage
Public CompanyTotal Funding
$14.13B2021-07-23Post Ipo Debt· $14.13B
2021-01-18IPO
Leadership Team
Recent News
2026-01-24
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Mexico Business
2026-01-23
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