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Scale Ai Data Labeling Jobs (Flexible Options) in Michigan

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Stellantis is looking for a Senior Data Engineer to join their AI & Data Analytics Team. In this ... Build scalable, distributed systems that handle high-throughput data streams and large-scale batch ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

The AI & Data Analytics Team is looking for a Senior Data Engineer to join our team. In this role ... Build scalable, distributed systems that handle high-throughput data streams and large-scale batch ...

... scale. AI & Engineering leverages innovative engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud ...

... scale.. The Role Our Product Safety Data Analytics team is seeking an experienced AI/ML Data ... Scientist with hands-on experience in the full end to end data science lifecycle for artificial ...

... scale.. The Role Our Product Safety Data Analytics team is seeking an experienced AI/ML Data ... Scientist with hands-on experience in the full end to end data science lifecycle for artificial ...

Adoption and scale * Coding agent capabilities are adopted at scale across software engineering ... Bachelor's or Master's degree in Computer Science, Software Engineering, AI, Data Science, or ...

Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Director, you will ...

Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Director, you will ...

This role is ideal for someone who combines strong hands-on engineering capability with a passion for mentoring others and shaping how teams build and scale AI systems. You will work alongside data ...

This role is ideal for someone who combines strong hands-on engineering capability with a passion for mentoring others and shaping how teams build and scale AI systems. You will work alongside data ...

This role is ideal for someone who combines strong hands-on engineering capability with a passion for mentoring others and shaping how teams build and scale AI systems. You will work alongside data ...

This role is ideal for someone who combines strong hands-on engineering capability with a passion for mentoring others and shaping how teams build and scale AI systems. You will work alongside data ...

This role is ideal for someone who combines strong hands-on engineering capability with a passion for mentoring others and shaping how teams build and scale AI systems. You will work alongside data ...

This role is ideal for someone who combines strong hands-on engineering capability with a passion for mentoring others and shaping how teams build and scale AI systems. You will work alongside data ...

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Data Engineer

Stellantis

Auburn Hills, MI • On-site

$108K - $130K/yr

Full-time

Re-posted 14 days ago


Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

13th of 44 rated automakers


Job description

Job Summary:
Stellantis is looking for a Senior Data Engineer to join their AI & Data Analytics 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, ensuring scalable and reliable data architecture.
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.
Qualifications:
Required:
• 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:
• 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
Company:
Stellantis is an Franco-Italian-American automotive holding company that manufactures automobiles. Founded in 2021, the company is headquartered in Hoofddorp, NLD, with a team of 10001+ employees. The company is currently Late Stage.

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Hours and flexibility

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