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Senior Data Platform Engineer - Azure Databricks & Governance
Designs and governs an enterprise data platform using Databricks, Unity Catalog, and Delta Lake, focusing on data ingestion, modeling, and pipeline development with Spark.
Senior Data Engineer: Azure Synapse & Databricks Expert
Designs and maintains ETL pipelines and data lakehouse architectures using Azure Synapse and Databricks to support analytics and business needs.
Senior Data Engineer
The Senior Data Engineer will design and maintain robust data pipelines and ETL processes using Azure Synapse Analytics and Databricks. They will collaborate with cross-functional teams to build scalable data infrastructure and ensure high data quality across the organization.
Senior Data Engineer
Designs and builds a governed enterprise data platform on Azure Databricks, Unity Catalog, and Delta Lake, shaping data ingestion, modeling, and governance for SAP/manufacturing domains.
Senior Software Engineer - Enterprise Platform, CustomerLake
Build enterprise-grade permissions, audit, and governance systems for Databricks’ new CustomerLake platform, enabling large orgs to securely adopt and scale customer-data applications.
Data Engineer Test Job
Build and maintain ETL/ELT pipelines, data models, and AI-ready datasets for an insurance tech platform using cloud data tools and Python/SQL.
Senior Data Engineer — Cloud Data Pipelines & AI Enablement
Build and maintain cloud data pipelines in Snowflake and Databricks, ensuring clean, governed data for analytics and AI features while collaborating with data scientists and BI teams.
Lead FullStack Engineer
Lead AI-driven full-stack development for a product company, owning backend (Node.js, Python), frontend (React/Next.js), and AI integrations (LLMs, RAG pipelines). Architect scalable systems, mentor engineers, and champion AI coding tools.
Senior Data Engineer
Builds and maintains scalable data pipelines for ingestion, transformation, and orchestration using Spark, Kafka, Airflow, and Informatica, deploying via CI/CD on containerized infrastructure.
Data Engineer (Professional) (Databricks) (m/w/d)
Builds and optimizes data pipelines and ETL/ELT processes on Databricks to integrate diverse data sources, ensuring quality, stability, and performance for data-driven projects.
Data Manager (5441)
We are seeking a highly skilled and analytical Data Manager to support our government client in Huntsville, AL. In this role, you will bring together your data management and hands-on technical experience to support…
Senior L2/L3 Production Support Data Engineer (Python + SQL + AWS)
The Senior L2/L3 Production Support Data Engineer resolves critical data incidents, optimizes SQL/AWS environments, and automates operational tasks to ensure system reliability for clients.
Finance Systems Manager
Administers and optimizes NetSuite ERP and financial systems for a fast-growing energy startup, integrating finance tools with enterprise systems and ensuring audit readiness.
Cloud Data Engineer - AWS, Databricks & IDMC Pipelines
Build and optimize scalable, secure data infrastructure using AWS, Databricks, and Informatica IDMC pipelines with SQL, Python/Scala, and Spark.
Senior AWS Data Engineer - PySpark, ETL & Lakehouse
Design and maintain scalable AWS data pipelines using PySpark and Python, building ETL/ELT workflows with Glue and Step Functions.
BI Engineer/ Data Engineer
The BI/Data Engineer will design, develop, and maintain scalable data pipelines and models to support business intelligence and analytics. The role focuses on optimizing SQL and Spark SQL processes, managing data warehouses, and ensuring high-quality data integration.
BI & Data Engineer: Build Scalable Analytics
Designs and builds scalable data pipelines and warehouses to power analytics and BI dashboards using SQL, Spark, and ETL tools.
Cloud Data Engineer (f/m/x)
Build and maintain cloud data pipelines using Python, SQL, and Azure tools like Databricks and Snowflake to process and transform large datasets.
Senior Data Engineer | Data Harmonization & BigQuery
Senior Data Engineer designs and maintains data pipelines using BigQuery, Airflow, and PostgreSQL to harmonize and process large datasets on Google Cloud Platform.
Data Engineer
Builds and maintains data pipelines, transforms raw data into usable formats, and ensures data integrity for analytics and business intelligence using ETL, SQL, Kafka, and cloud/data platforms.