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This Data Engineer role involves building and scaling ETL/ELT pipelines within a greenfield data transformation project using Microsoft Fabric and Databricks. The position requires expertise in PySpark and SQL to develop modern data solutions and support enterprise-wide analytics.
Leads technical development of a DoD data platform for DISA’s DISN network, designing data lakes/lakehouses, pipelines, and AI-driven observability tools to enable predictive analytics, automation, and mission resilience.
The Senior Data Engineer will architect and build scalable data pipelines on AWS to support automotive data products and AI-driven capabilities. The role involves hands-on development using Python, SQL, Databricks, and agentic AI frameworks in a hybrid work environment.
Designs and builds AWS-based data pipelines for automotive data; leads architectural decisions, optimizes performance, and mentors engineers in a hybrid role.
The Solution Engineer will build and maintain cloud-native data pipelines and data products to support scientific research. The role involves hands-on development using Python, SQL, and cloud-based data technologies to ensure reliable, secure, and observable data delivery.
Designs, builds, and maintains scalable data pipelines, lakehouse architectures, and transformations using PySpark, SQL, and cloud/data tools to power enterprise analytics.
Builds and scales production ML systems for Warner Bros. Discovery’s media brands, focusing on identity resolution, audience intelligence, and content affinity. Owns end-to-end ML pipelines, feature stores, and agentic AI workflows on Databricks/Snowflake/AWS to drive advertising yield, personalization, and engagement.
Design, build, and maintain scalable big data processing pipelines using Apache Spark, Databricks, and cloud platforms for an IRS project requiring MBI clearance and GFE.
Builds, scales, and maintains an Azure-based data platform using IaC, CI/CD, and cloud-native tools to enable self-service for data/product teams while ensuring reliability, security, and global scalability.
Design and build enterprise-scale Azure data platforms, data warehouses, and ETL/ML solutions using Databricks, Delta Lake, and Data Lakehouse architectures, covering infrastructure, governance, security, and CI/CD.
Designs and builds scalable data pipelines and cloud data platforms to process high-volume financial transactions using Python, Spark, and AWS.
Designs and implements a Databricks-based data and AI platform, enabling LLM-powered analytics, RAG, and agentic AI workflows for governed data products and semantic layers.
Designs and builds a high-performance data platform for an AI-driven cybersecurity product, handling petabyte-scale security telemetry with streaming and batch processing.
Designs and governs secure, compliant data platforms for a federal agency’s Azure cloud, setting standards for Lakehouse architecture, Zero Trust, and ATO-aligned security while optimizing cost and interoperability.
Build and maintain a corporate Data Lake on AWS, designing batch and streaming data pipelines with Spark, Python, Kafka, and SQL.
Designs and builds scalable data pipelines and Lakehouse architectures on Databricks, focusing on Spark, Delta Lake, and Medallion principles to support analytics, ML, and AI workloads for enterprise clients.
Senior Staff Applied AI Engineer at Databricks builds and owns the retrieval stack and search subagents for AI agents, enabling context retrieval across enterprise SaaS data using IR, RAG, and agentic systems.
P-1554 As a Staff Technical Designated Engineer and tech subject matter expert, you will partner closely with our Field and Engineering teams to deliver high-touch specialized support and tailored technical solutions…
Lead Databricks’ global identity and access management systems, defining strategy and architecture for secure, scalable authentication and governance across employees and customers.
Design and implement core database engine components like query optimization, distributed execution, and storage systems for Databricks' data platform, using distributed systems and performance tuning expertise.
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