7 spark data engineer jobs at 5 companies in Florence, KY
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Data Engineer
Monroe, Ohio, United States
OnsiteFull Time
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
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.
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.
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.
Atlas Air: Global provider of outsourced aviation and logistics services.
5+ YOEMaster's or PhD in a quantitative field, 5+ years data science experience, expertise in Python/R, SQL, machine learning, optimization, and production-grade software engineering practices.
3+ YOEBachelor's in a quantitative field, 3+ years model development/validation experience (financial services preferred), 2+ years with Python, Spark, AWS SageMaker, H2O, or SAS; strong communication and model risk understanding.