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Lead Azure-based data platforms for Rabobank, designing scalable pipelines, optimizing performance, and driving data-driven decisions with Azure services like Synapse, Databricks, and Fabric.
Designs and builds Spark/Scala pipelines to process large datasets, integrates Elasticsearch for querying, and deploys solutions on OpenShift. Optimizes performance, collaborates with DevOps, and ensures pipeline reliability.
Lead data engineering projects for a global wealth management and asset servicing firm, designing systems and guiding teams to solve business needs with robust technical solutions.
Lead Data Engineer builds and optimizes scalable data pipelines, AI/ML solutions, and cloud-native architectures to unify ASCO’s enterprise data for AI, analytics, and operations, ensuring high performance, cost efficiency, and operational reliability.
Lead data platform governance and operations across Snowflake and AWS—overseeing RBAC, SOX compliance, cost strategy, and a small team of engineers to enable governed, self-service data access at scale.
Lead Data Engineer at an AI-driven SaaS company, owning and growing the data engineering function while staying hands-on with scalable ETL/ELT pipelines, cloud data platforms, and Python/SQL.
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.
Build and maintain data products, semantic layers, and AI-ready data structures in Palantir Foundry, Envision, Maven, Vantage, and AskSage for the Air National Guard CDAO, using SQL, Python, and Azure integrations.
The Lead Data Engineer will design and manage scalable data ingestion and integration pipelines to support AI, machine learning, and Generative AI initiatives at BMO. This role involves leading cross-functional teams to build AI-ready datasets and RAG solutions while ensuring data governance and security in a highly regulated environment.
A Lead Data Infrastructure Engineer at Stellic owns the design and operation of the company's data platform, building scalable data pipelines and customer-facing data systems to support student education insights and scale, using technologies like dbt, Airflow, S3, and Redshift.
Designs and manages cloud-based data infrastructure for fintech asset management, focusing on platform engineering and DevOps automation.
Location: Tustin, CA Salary: $160,000.00 USD Annually - $170,000.00 USD Annually Description: Data Platform Engineering Lead Irvine, CA Fulltime Must Have Technical/Functional Skills Data Bricks , EBT ,Airflow , Asset…
Senior Data Engineer leading ETL and data platform development, designing robust data pipelines and data warehousing solutions for Gemeente Zoetermeer, advising on data quality and working with business stakeholders.
Leads the data platform engineering team to design and maintain enterprise schedulers on AWS for Toyota’s mobility solutions.
Lead Data Engineer owning and scaling data foundations for an AI-driven property operations platform in London, building batch/streaming pipelines, vector search systems, and data architecture using Python, PostgreSQL, and cloud services.
GOH is a small management consulting firm supporting the federal government since 1997 (www.gohnow.com). We are seeking an energetic new team member with experience in Federal grants management to support our Office of…
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION As a Lead Data Engineer at JPMorgan Chase within the Commercial & Investment Bank - Production…
Lead a team to design, build, and deploy data pipelines and warehouses for enterprise clients using Databricks, AWS, and Azure, ensuring secure, scalable, and high-performance data solutions.
Lead the data engineering team to build and evolve a BI and AI data platform. Define architecture and security standards, pilot robust pipelines, and support Paprec Group's data transformation.
Lead Data Engineer building and evolving a data platform to support business, BI, and AI usage, defining data architecture standards, leading robust and scalable data pipelines, and mentoring the data engineering team.
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