Scale AIWashington, DCBuild analytical and BI infrastructure for Scale's Public Sector unit. Develop scalable data pipelines, models, warehouses, and quality tests from ambiguous processes to enable decision-making; requires 5+ years experience, SQL mastery, Python/R, DBT, and active Secret clearance.
Senior Data Engineer responsible for building scalable ingestion pipelines, normalizing, and maintaining large-scale financial and alternative datasets from global vendors to support quantitative research and alpha generation. Requires 5+ years data engineering experience in finance/quant environments, strong Python/SQL/Linux skills, and deep knowledge of market/tick/reference data across asset classes.
Senior individual contributor building and leading Jellyfish's Databricks Lakehouse platform to power enterprise analytics, BI, agentic AI workflows, and data science. Requires deep data platform engineering experience, strong Databricks expertise, Python/SQL skills, and ability to deliver governed, production-grade data foundations for AI.
Senior Data Engineer builds and scales high-throughput streaming pipelines for real estate data using Spark, Kafka, and Airflow on AWS. Requires 6+ years experience, strong Python skills, and daily AI integration in workflows.
Builds and maintains scalable data models and pipelines using Snowflake, dbt, and Databricks to support analytics for patient intake funnel. Leads BI solutions, self-service tools, and best practices with 5+ years experience, advanced SQL, and cross-functional collaboration.
Senior Data Engineer building scalable batch and real-time data pipelines, feature stores, and low-latency serving systems to power Fetch's recommendation and audience targeting ML models. Requires 6+ years experience with Spark, Kafka, Flink, cloud infrastructure, and close collaboration with ML and backend teams.