5 dataops engineer jobs at 5 companies in Diablo, CA
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Senior DataOps Engineer
San Francisco, California, United States
RemoteFull Time
EverOps: Provides embedded engineering services for cloud and DevOps modernization.
5+ YOE5+ years DBA/DataOps/SRE experience with deep Azure and MSSQL expertise, scripting (PowerShell/Python/T-SQL/Bash), ADF/ADF pipeline and Azure DevOps experience, and strong automation and on-call skills.
X, The Moonshot FactoryNASDAQ: GOOGL: Develops early-stage technologies and experimental projects.
3+ YOE3+ years building scalable data pipelines, strong Python and SQL skills, experience with data validation, dataset versioning, and ML data lifecycle for annotation and training.
Python, Pandas, NumPy, SQL, BigQuery, Cloud Storage, Dataflow, Dataproc, Vertex AI Data Pipelines, Google Cloud Composer, Apache Airflow, Prefect, Dagster, Great Expectations, DVC, TFX, Data Validation
Oakland or Washington or Rhode Island or Ohio or Missouri or California or Long Beach or Arizona or Colorado or Florida or Georgia or Maryland or Minnesota or Nevada or Oregon or El Dorado Hills or Lodi or Rancho Cordova or San Diego or Alabama or Illinois or Virginia or Wisconsin or Texas or New York
$139k-$208k/yrHybridFull Time
Ascendiun: Nonprofit parent overseeing health insurance and clinical service organizations.
7+ YOEBachelor's or equivalent, 7+ years data engineering, advanced SQL, Azure and cloud data platform experience, Snowflake/Databricks, CI/CD and DataOps, strong data modeling and security knowledge.
2KNASDAQ: TTWO: Publishes and develops global video game franchises and entertainment.
6+ YOE6+ years in DataOps/Data Engineering/DevOps; expert Python and SQL; experience with Airflow/Mage/Prefect, dbt, AWS (or GCP/Azure), Docker, Kubernetes, Git, Terraform, and modern warehouse tech (Snowflake/Databricks).
Lead Principal Application Software Engineer- Forward Deployed Engineer
Pleasanton or United States or California
$105k-$264k/yrOnsiteFull Time
OracleNYSE: ORCL: Provides cloud infrastructure and enterprise software for global businesses.
10+ YOERequires 10–12+ years in enterprise data platforms, expertise in cloud data engineering and Apache Spark, migration experience, and proficiency with Databricks, Snowflake, Azure, AWS, Kafka, Python, SQL, Scala, or Java.
Databricks, Snowflake, Azure, AWS, Oracle AI Data Platform, Apache Spark, SPARK, Delta Lake, Kafka, Python, SQL, Scala, Java, DataOps, CI/CD, Infrastructure as Code, Lakehouse, Medallion Architecture, OCI, LLMs, Retrieval-Augmented Generation (RAG), MLOps, OCI - DevOps, OCI - Generative AI Agent Hub, OCI Generative AI