Ashburn, Virginia, United States Hybrid / WFH Options
Adaptive Solutions, LLC
years' experience building and deploying scalable, production-grade AI/ML pipelines in AWS and Databricks • Practical knowledge of tools such as MLflow, DeltaLake, and Apache Spark for pipeline development and model tracking • Experience architecting end-to-end ML solutions, including feature engineering, model training, deployment, and More ❯
data pipelines Build and maintain APIs to expose data to downstream applications Develop real-time streaming data pipelines Tech stack includes Airflow, Spark, Databricks, DeltaLake, and Snowflake Collaborate with product managers, architects, and other engineers to drive the success of the Core Data platform Contribute to developing More ❯
days per week on site in Coventry. Key Responsibilities: Design & implement secure, scalable cloud infrastructure on Azure Build data platforms using Databricks, Fabric, ADLS, DeltaLake, CosmosDB Architect solutions for real-time ingestion from sources like SCADA, SAP PM, Oracle Implement secure networking (VNETs, ExpressRoute, private endpoints) Drive More ❯
days per week on site in Coventry. Key Responsibilities: Design & implement secure, scalable cloud infrastructure on Azure Build data platforms using Databricks, Fabric, ADLS, DeltaLake, CosmosDB Architect solutions for real-time ingestion from sources like SCADA, SAP PM, Oracle Implement secure networking (VNETs, ExpressRoute, private endpoints) Drive More ❯
days per week on site in Coventry. Key Responsibilities: Design & implement secure, scalable cloud infrastructure on Azure Build data platforms using Databricks, Fabric, ADLS, DeltaLake, CosmosDB Architect solutions for real-time ingestion from sources like SCADA, SAP PM, Oracle Implement secure networking (VNETs, ExpressRoute, private endpoints) Drive More ❯
looking for an accomplished MLOps Engineer with 3 years of professional experience in: Experience with Databricks and its ecosystem (Databricks Notebooks, Databricks Jobs, Databricks DeltaLake). Deep knowledge of MLFlow for model lifecycle management. Experience with CI/CD tools, specifically Azure DevOps. Experience with Machine Learning More ❯
standards, and drive team alignment Work closely with stakeholders to translate business needs into scalable solutions Tech environment includes Python, SQL, dbt, Databricks, BigQuery, DeltaLake, Spark, Kafka, Parquet, Iceberg (If you haven’t worked with every tool, that’s totally fine — my client values depth of thinking More ❯
standards, and drive team alignment Work closely with stakeholders to translate business needs into scalable solutions Tech environment includes Python, SQL, dbt, Databricks, BigQuery, DeltaLake, Spark, Kafka, Parquet, Iceberg (If you haven’t worked with every tool, that’s totally fine — my client values depth of thinking More ❯
standards, and drive team alignment Work closely with stakeholders to translate business needs into scalable solutions Tech environment includes Python, SQL, dbt, Databricks, BigQuery, DeltaLake, Spark, Kafka, Parquet, Iceberg (If you haven’t worked with every tool, that’s totally fine — my client values depth of thinking More ❯
standards, and drive team alignment Work closely with stakeholders to translate business needs into scalable solutions Tech environment includes Python, SQL, dbt, Databricks, BigQuery, DeltaLake, Spark, Kafka, Parquet, Iceberg (If you haven’t worked with every tool, that’s totally fine — my client values depth of thinking More ❯
standards, and drive team alignment Work closely with stakeholders to translate business needs into scalable solutions Tech environment includes Python, SQL, dbt, Databricks, BigQuery, DeltaLake, Spark, Kafka, Parquet, Iceberg (If you haven’t worked with every tool, that’s totally fine — my client values depth of thinking More ❯
standards, and drive team alignment Work closely with stakeholders to translate business needs into scalable solutions Tech environment includes Python, SQL, dbt, Databricks, BigQuery, DeltaLake, Spark, Kafka, Parquet, Iceberg (If you haven’t worked with every tool, that’s totally fine — my client values depth of thinking More ❯
and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, DeltaLake, and MLflow. Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. More ❯
and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, DeltaLake, and MLflow. Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. More ❯
and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, DeltaLake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and More ❯
and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, DeltaLake and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. More ❯
and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, DeltaLake, and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. More ❯
and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, DeltaLake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits More ❯
and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, DeltaLake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and More ❯
a fast paced and complex business environment. Must have solid experience and knowledge of Azure data platform technologies, particularly Azure Data Factory, Azure Data Lake Storage and Azure Databricks. Must have hands on experience of working in Databricks, in particular design and usage of the DeltaLakeMore ❯
Employment Type: Permanent
Salary: £80000 - £100000/annum bonus, car allowance, benefits
writing queries to basic database operations Exposure to cloud infrastructure, ideally AWS Bonus: Experience with streaming/data tools such as Kafka, Spark, or DeltaLake Technology Stack & Environment You'll be working with: AWS, Kubernetes, Kafka, Argo Java 17, Python 3, HDF5 Distributed systems processing large volumes More ❯
writing queries to basic database operations Exposure to cloud infrastructure, ideally AWS Bonus: Experience with streaming/data tools such as Kafka, Spark, or DeltaLake Technology Stack & Environment You'll be working with: AWS, Kubernetes, Kafka, Argo Java 17, Python 3, HDF5 Distributed systems processing large volumes More ❯
writing queries to basic database operations Exposure to cloud infrastructure, ideally AWS Bonus: Experience with streaming/data tools such as Kafka, Spark, or DeltaLake Technology Stack & Environment You'll be working with: AWS, Kubernetes, Kafka, Argo Java 17, Python 3, HDF5 Distributed systems processing large volumes More ❯
london (city of london), south east england, united kingdom
Selby Jennings
writing queries to basic database operations Exposure to cloud infrastructure, ideally AWS Bonus: Experience with streaming/data tools such as Kafka, Spark, or DeltaLake Technology Stack & Environment You'll be working with: AWS, Kubernetes, Kafka, Argo Java 17, Python 3, HDF5 Distributed systems processing large volumes More ❯
and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, DeltaLake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and More ❯