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Flexible Databricks Data Engineer Jobs in Detroit, MI

Stellantis

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 ... Experience with Databricks notebook workflows * Experience with Terraform

Strategic Employment

Data Engineer

Detroit, MI · Hybrid

$113K - $135K/yr

A healthcare company based in the Detroit is looking to hire a Data Engineer. They're looking for ... Technical experience with Foundry, Databricks, or Snowflake is preferred, but not required. A ...

Strategic Employment

Data Engineer

Detroit, MI · Hybrid

$113K - $135K/yr

A healthcare company based in the Detroit is looking to hire a Data Engineer. They're looking for ... Technical experience with Foundry, Databricks, or Snowflake is preferred, but not required. A ...

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

We are seeking a Senior Data Engineer / Data Engineer with strong hands-on Databricks experience to ... Flexible spending accounts * Company-paid short-term disability and life insurance * Employee ...

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

We are seeking a Senior Data Engineer / Data Engineer with strong hands-on Databricks experience to ... Flexible spending accounts * Company-paid short-term disability and life insurance * Employee ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Cost Methods, Tools & Data Solutions (CMTD) is seeking a Data Engineer , preferably with a finance ... Databricks * Palantir Foundry * SQL * Microsoft Power Platform (Power Apps, Power Automate, Power ...

Pwc

Data Engineer - Senior Manager

Detroit, MI · On-site

$124K - $280K/yr

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Pwc

Data Engineer - Senior Associate

Detroit, MI · On-site

$77K - $202K/yr

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

Pwc

Data Engineer - Manager

Detroit, MI · On-site

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

Freudenberg Group

Data Engineer

Plymouth, MI · On-site

$109K - $130K/yr

Build scalable lakehouse pipelines on Azure Databricks using PySpark, Spark SQL, and Delta Lake ... Degree in Computer Science, Data Engineering, or related field (or equivalent experience). * Proven ...

Freudenberg

Data Engineer

Plymouth, MI

$109K - $130K/yr

Build scalable lakehouse pipelines on Azure Databricks using PySpark, Spark SQL, and Delta Lake ... Degree in Computer Science, Data Engineering, or related field (or equivalent experience). * Proven ...

Stellantis

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 ... Experience with AWS, Azure, or GCP data services (e.g., EMR, Glue, Databricks). • Data Modeling:

Stellantis

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

Cost Methods, Tools & Data Solutions (CMTD) is seeking a Data Engineer , preferably with a finance ... Databricks * Palantir Foundry * SQL * Microsoft Power Platform (Power Apps, Power Automate, Power ...

Domino's Corporate

Senior Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

Apply advanced technical knowledge to design, build, and optimize scalable data pipelines, reusable engineering frameworks, and platform capabilities using Azure Data Factory, Databricks, Spark ...

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All JobsDatabricks Data Engineer JobsFlexible Databricks Data Engineer JobsFlexible Databricks Data Engineer Jobs in Detroit, MI

Flexible Databricks Data Engineer information

See Detroit, MI salary details

$44.1K

$128.4K

$175.7K

How much do flexible databricks data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for flexible databricks data engineer in Detroit, MI is $128,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,400.00 and $136,100.00 per year, depending on experience, location, and employer.

What is the difference between Flexible Databricks Data Engineer vs Cloud Data Engineer?

AspectFlexible Databricks Data EngineerCloud Data Engineer
CredentialsProficiency in Databricks, Spark, SQL, Python, cloud platforms (AWS, Azure, GCP)Cloud platform certifications (AWS, Azure, GCP), SQL, Python, data pipeline skills
Work EnvironmentData engineering within Databricks environment, collaborative teams, cloud infrastructureDesigning and managing data solutions on cloud platforms, often across multiple services
Industry UsageTech, finance, healthcare, retail using Databricks for big data processingBroad industry use, focusing on cloud infrastructure and data pipelines

Flexible Databricks Data Engineers specialize in building data pipelines within the Databricks platform, leveraging Spark and cloud services. Cloud Data Engineers focus on designing and maintaining data solutions across various cloud environments. Both roles require cloud and SQL skills, but the Databricks Data Engineer emphasizes Databricks-specific tools and Spark expertise.

What are the most commonly searched types of Databricks Data Engineer jobs in Detroit, MI?

The most popular types of Databricks Data Engineer jobs in Detroit, MI are:

Flexible Databricks Data Engineer jobs near you

Data Engineer

Stellantis

Auburn Hills, MI • On-site

$108K - $130K/yr

Full-time

Re-posted 20 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

15th of 45 rated automakers

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:
  • Bachelors degree in Computer Science, Engineering, Mathematics, or a related technical discipline
  • A minimum of 5 years of experience in the data engineering and software development life cycle. Including:
    • A minimum of 4 years of hands-on experience in building and maintaining production data applications, current experience in both relational and columnar data stores.
    • A minimum of 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

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