31 spark data engineer jobs at 12 companies in Algonac, MI
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Senior Data Engineer
Auburn Hills, Michigan, United States
OnsiteFull Time
StellantisNYSE: STLA: Designs, manufactures, and sells passenger cars and commercial vehicles.
8+ YOEBachelor's or Master's in computer/data field,8+ years data engineering, Supply Chain experience, strong SQL, hands-on with Databricks/Spark/Snowflake, data modelling, pipelines, integration, lineage and governance.
StellantisNYSE: STLA: Designs and manufactures vehicles for diverse global automotive brands.
8+ YOEBachelor's/Master's in CS or related, 8+ years data engineering, supply chain experience, experience with Databricks/Spark/Snowflake, strong SQL and data pipeline/integration/lineage skills, stakeholder collaboration.
Mastronardi Produce: Greenhouse grower and distributor of fresh produce.
Expert SQL, PySpark/Python, Microsoft Fabric experience, data modeling, pipeline design/optimization, data profiling, troubleshooting, and ability to guide other engineers.
Microsoft Fabric, PySpark, Python, SQL, Synapse, S3, Azure Data Lake Storage, Google Cloud Storage, Spark, Kafka, Flink, Fabric Eventstream, GIT, Claude, GitHub Copilot
HarmonyCares: Provides home-based primary care for patients with complex needs.
10+ YOEBachelor's or equivalent, 10+ years data engineering, 5+ years healthcare/claims data experience, expert Python and SQL, Databricks/Spark, cloud architecture and security, DevOps, EMR integrations, data modeling and ETL development.
HarmonyCares: Provider of comprehensive in-home primary and hospice care services.
10+ YOEBachelor's or equivalent; 10+ years data engineering; 5+ years healthcare data modeling and enterprise platform experience; expert Python and SQL; Databricks, Spark, cloud architecture, DevOps, EMR/claims familiarity; HIPAA/HITRUST/SOC2 knowledge.
Fisher Dynamics: Manufacturer of automotive seat structures and safety-critical mechanisms.
4+ YOEBachelor's degree and 4–6 years of data engineering experience required, including production ETL/ELT pipelines, data architecture, SQL, cloud platforms, and data integration. Must be Metro Detroit-local and lift 40 pounds.
Plex, Kafka, Spark, AWS, GCP, Azure, Airflow, Prefect, Dagster, Python, Scala, Java, SQL, Redshift, Amazon S3, Google BigQuery, Azure Data Lake, Hadoop, Flink, Git, Docker
Ford Motor CompanyNYSE: F: Ford manufactures, sells, and services vehicles and mobility solutions.
3+ YOEBachelor's degree in a technology field, 3+ years building data solutions on GCP, 2+ years with CI/CD and DevOps, plus experience with pipelines, Terraform, data warehousing, governance, testing, and production support.
Ford Motor CompanyNYSE: F: Designs, manufactures, and sells cars, trucks, and SUVs.
3+ YOEBachelor’s degree in a technology-related field, 3+ years building GCP data solutions, 2+ years with CI/CD, and experience with pipelines, Terraform, data warehousing, DevOps, Agile, and production support.
Google Cloud Platform (GCP), Terraform, SonarQube, Checkmarx, Fossa, Cycode, BigQuery, Dataflow, Cloud Storage, Pub/Sub, Python, SQL, Spark, Docker, Tekton, CI/CD, Infrastructure as Code, Test-Driven Development (TDD)
Senior Full-Stack BI Architect / Fabric Data Engineer
Ferndale, Michigan, United States
HybridFull Time
Proactive Technology Management: Provides managed IT, cybersecurity, and data analytics solutions.
7+ YOEBachelor's/Master's in CS/Engineering/Data Science, 7+ years in data engineering or BI, expertise in medallion architecture and domain-driven design, Power BI/DAX/Power Query M/SQL, Spark Python, and Microsoft Cloud Data Stack.
Power BI, DAX, Power Query M, SQL, Spark Python, Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric
General MotorsNYSE: GM: Manufactures and sells automobiles and automotive parts globally.
7+ YOE3+ MgmtBachelor's degree and 7+ years in data or software engineering, including 3+ years leading teams. Requires Databricks, Spark, Delta Lake, Unity Catalog, Python, SQL, cloud, and distributed pipeline expertise.
Databricks, Apache Spark, Delta Lake, Unity Catalog, Python, SQL, Azure, Google Cloud Platform (GCP), Amazon Web Services (AWS), MLflow, Mosaic AI, Delta Live Tables, Feature Store, Vector Search, Genie Spaces, Apache Kafka, Azure Event Hubs, Shopify, Heap, Adobe SDK, AppsFlyer, CI/CD, Infrastructure as Code, DataOps, MLOps, Retrieval-Augmented Generation (RAG), LLM
ALTENEuronext Paris: ATE: Provides engineering and technology consulting services to industrial clients.
12+ YOE5+ Mgmt12–15 years in consulting/engineering/technology with 5+ years leading AI/Data teams; experience with generative AI, ML frameworks, data engineering, cloud AI services, MLOps; bachelor's in CS/Data/AI or related required.
New York City or Milwaukee or Dallas or Columbus or Kirkland or Cincinnati or Cleveland or Oklahoma City or Austin or Albany or Chicago or St. Petersburg or Hartford or Pittsburgh or St. Louis or Miami or Sacramento or Raleigh or Minneapolis or Mountain View or Scottsdale or San Francisco or Morristown or Denver or Boston or Philadelphia or Des Moines or Overland Park or Los Angeles or Charlotte or Walnut Creek or Carmel or Seattle or Houston or Arlington or Atlanta or Redmond or Bentonville or Beaverton or Nashville or Detroit or San Diego
$80k-$294k/yrHybridFull Time
AccentureNYSE: ACN: Global provider of management consulting and technology services.
6+ YOEBachelor's degree or equivalent experience, 6+ years developing and deploying AI/ML solutions, programming proficiency, experience with ML frameworks, big data, databases, and cloud platforms.
Python, R, Java, TensorFlow, PyTorch, Hadoop, Spark, AWS, Microsoft Azure, Google Cloud, D3.js, ggplot
Principal Technology Manager, Business Data Technologies
Seattle or Detroit
$177k-$239k/yrOnsiteFull Time
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
7+ YOE7+ years technical product/program management; 10+ years working with engineering teams; 5+ years software development; cross-functional program management; strong analytical, communication, and stakeholder management.
AlixPartners: Global business advisory specializing in turnaround and performance improvement.
5+ YOE5+ years in software, data engineering, data science, or ML roles; 5+ years deploying ML/AI in production; Python and ML framework experience; cloud deployment (Azure/AWS/GCP) and CI/CD/MLOps experience; strong communication and leadership skills.