6 spark data engineer jobs at 4 companies in Kettering, OH
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Beavercreek or Dayton or St. Louis or United States
OnsiteFull Time
Awetomaton: Develops software for satellite intelligence and geospatial data analysis.
5+ YOEBS degree, 5+ years experience, DoD Top Secret clearance required, proficiency with Python, SQL, Spark, orchestration tools (Airflow, Dagster, Argo Workflow), data modeling, cloud-native deployment, and strong communication skills.
84.51°NYSE: KR: Provides retail data analytics and targeted advertising services.
5+ YOEBachelor's degree, 5+ years professional data development experience, Databricks/Spark and Python experience, ETL and data warehousing knowledge, Kubernetes and REST API development experience, Agile/Scrum familiarity.
84.51°NYSE: KR: Provides retail data analytics and targeted advertising services.
3+ YOE3+ years data development experience with Databricks, PySpark/Spark, Python or Java, SQL/JSON, ETL and data warehousing knowledge; experience with CI/CD, pipeline orchestration, version control, and Agile.
CSafe: Providing temperature-controlled shipping solutions for pharmaceutical products.
3+ YOE3+ years data engineering experience, Databricks and Azure pipeline experience, Power BI and SQL/Python proficiency, bachelor's degree or equivalent, strong communication and governance knowledge.
Databricks, Power BI, SQL, Python, Azure Data Factory, Azure Storage, Azure SQL, Spark, Delta Lake, Unity Catalog, DAX
EssilorLuxotticaEuronext Paris: EL: Designs, manufactures and distributes ophthalmic lenses, frames and sunglasses.
Bachelor's in CS/Engineering, proven experience as Data/ML/Platform Engineer, strong Azure and big-data experience, proficiency in Python/Scala/SQL, production-grade data pipelines, and authorization to work in the U.S. (no visa sponsorship).
Azure, AWS, GCP, Python, Scala, SQL, Spark, Kubernetes, Azure Data Factory, Azure Data Lake, Synapse, Delta, Parquet, JSON, CSV, Azure Databricks, MLFlow, Docker, AKS, APIs, Airflow, SAP CDC, CI/CD, MLOps, DevOps
8+ YOEMaster's in an analytical field (or 3 additional years' experience), 8+ years data science/software engineering experience, production ML and modeling, Python and SQL, Spark, Docker, APIs, and code version control experience.