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Lead the design and delivery of scalable AI and data platforms, from petabyte-scale lakehouses to production GenAI solutions, using Python, Spark, Databricks, and cloud services.
Lead a team to design and build scalable cloud data pipelines and platforms using Snowflake, AWS, and Airflow to power enterprise analytics and AI workloads.
Oracle Customer Success Services (CSS) is seeking a Senior Principal Forward Deployed Engineer to lead the delivery of strategic AI and data transformation programs for Oracle's largest enterprise customers. This…
EXL is seeking a Senior Data Engineer to join our Data & Analytics practice and support strategic client engagements. This role will be responsible for designing, building, and managing scalable cloud-based data…
You will be the first point of contact for customers using the risk management platform, ensuring cordial, professional, clear and fast interactions. You will follow up on tickets from opening to resolution, keeping…
Build and maintain scalable, secure data pipelines for financial clients using ETL/ELT tools, Spark, Kafka, and cloud platforms to deliver reliable data for business use cases.
Build and maintain Greystar’s Databricks-native data platform on Azure, administering Unity Catalog, optimizing Spark jobs, and enforcing medallion architecture standards for reliable, cost-efficient enterprise analytics.
Builds and maintains scalable GCP-based data pipelines and governance systems for an insurance company, using Python, SQL, and AI-assisted tools to automate metadata-driven workflows and improve enterprise data operations.
Design and build large-scale security data pipelines on AWS using Databricks and Snowflake to normalize SIEM logs and telemetry for financial risk analytics and AI-driven incident response.
Designs and maintains enterprise-scale data pipelines and cloud platforms to power analytics and reporting across a healthcare insurer.
Principal Data Engineer builds and evolves a high-scale data platform (Snowflake, dbt, Iceberg, Trino, Kafka) to power analytics, ML, and business decisions across Prodege’s adtech ecosystem.
Principal Software Engineer designs and builds a self-contained, cloud-agnostic platform that provisions and orchestrates Apache Airflow instances entirely on-premises, including control plane, data plane, APIs, and observability for enterprise environments.
Designs and implements cloud-based solutions using Astronomer’s DataOps platform (Apache Airflow) for enterprise clients, bridging technical and business needs to scale data-driven workflows.
Leads EMEA sales for Astro, a developer-centric DataOps platform built on Apache Airflow, driving enterprise and commercial revenue growth across complex technical buyers.
Designs and implements scalable cloud-based data architectures and models to support analytics, reporting, and operational data products for a financial services company.
Lead enterprise HCM data architecture, migration, and integration for a public-sector client, ensuring data integrity, governance, and scalability across legacy and cloud platforms.
JOB TITLE: Director, Data Engineering & Modeling - Mars Veterinary Health LOCATION & SCHEDULE: Support Office - Vancouver, Full time COMPENSATION: $140,400.00 - $219,375.00 As part of the Mars Petcare family of…
Requirements ● Experience designing data solutions following Agile practices and SAFe methodology. ● Experience designing for testability, deployability and releaseability. ● Experience with rapid prototyping, data…
Build and scale data pipelines, APIs, and distributed systems in Java/Spring Boot to power healthcare advertising analytics and reporting for DeepIntent.
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