6 databricks data engineer jobs at 5 companies in Bridgeport, TX
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Senior Engineer, IT Data
Fort Worth, Texas, United States
OnsiteFull Time
American AirlinesNASDAQ: AAL: Operates a global network of passenger and cargo flights.
4+ YOEBachelor's in CS/Engineering/Information Systems or equivalent,4+ years building data solutions with SQL, Python, Spark and Microsoft Azure,experience with DevOps/CI/CD and cloud data engineering.
SQL, Python, Spark, Microsoft Azure, Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks
GM Financial: Provides automotive financing and leasing services for dealers and consumers.
2+ YOE2-4 years data engineering experience; proficiency with big data (Hadoop, Spark), cloud (Azure/AWS/GCP), NoSQL, SQL, Python, ETL, DevOps tooling; bachelor's degree or equivalent.
Hadoop, HDFS, Spark, Kafka, Pulsar, Flume, JSON, Parquet, CSV, SequenceFile, CosmosDB, MQ, Oracle, Azure, AWS, GCP, Azure ARM Templates, Hashicorp Terraform, AWS Cloud Formation, Data Lake Storage Gen2, S3, ADLS, GIT, Subversion, Sonar, Artifactory, Azure DevOps, MongoDB, Adobe Experience Platform, REST APIs, Databricks, Python, Microsoft Copilot, Microsoft Office, Atlan, Immuta
New York City or Philadelphia or Flower Mound or Denver or Boston
$175k-$200k/yrHybridFull Time
Veho: Provides AI-powered last-mile delivery services for e-commerce brands.
3+ YOEBachelor's +3 years (or Master's +2) in ML engineering, strong Python and SQL, MLOps pipeline development, cloud (AWS) experience, familiarity with Ray, Flink, Feast, and data warehouses (Redshift, Databricks, Snowflake).
FFF Enterprises: Specialty pharmaceutical and vaccine distributor for healthcare providers.
7+ YOE7+ years software development experience (11+ without degree). Strong expertise with C#, .NET Core, Blazor, Microsoft Azure, containerization (Docker/Kubernetes), CI/CD, TypeScript/Node.js, and cloud architecture.
Kaleidoscope Innovation: Designs and develops medical devices and consumer products.
Hands-on experience building enterprise Generative AI and Agentic AI systems including LLMs, RAG, multi-agent orchestration, vector DBs, model serving, cloud deployments, observability, and data pipelines.