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Build and maintain scalable data pipelines using Azure Data Factory, Databricks, and PySpark to support analytics and cloud migrations.
About Us Phare Health is now part of R1 and its AI innovation engine, R37 Lab, bringing Phare’s frontier clinical reasoning technology together with one of the largest healthcare platforms in the U.S. At R37 and Phare,…
Builds and deploys data pipelines and Gen-AI integrations in cloud environments using Python, SQL, Databricks, Spark, Git and MLflow.
Builds and optimizes cloud-based data pipelines using SQL, dbt, and Python, focusing on Snowflake and modern data warehousing while leveraging AI tools for code generation and performance tuning.
Build and optimize cloud-scale data pipelines on AWS and Databricks for government clients, focusing on Delta Lake, PySpark, and governed analytics-ready datasets.
About the Role Gratia Health is looking for a self-motivated mid-level Product Analytics Engineer to own our data landscape. As the sole data practitioner, you will embed directly within our product and engineering…
SHR - Software Hardware Re-engineered SHR is a premier technology integrator solving our nation's most complex modernization and readiness challenges across the defense, federal civilian, and intelligence markets. Our…
6-12 month Contract $750 - $850 per day Unlock your potential with a prestigious opportunity alongside an award-winning, data-driven industry leader! A tremendous opportunity awaits a Data Engineer to collaborate a…
Builds and maintains data pipelines to feed revenue analytics and strategic decisions using SQL, Python, and Databricks in a Madrid-based fintech team.
Build and optimize Spark-based ETL pipelines and data processing solutions to ensure scalable, high-quality data flows for a client contribution platform.
Build and maintain Databricks pipelines, deploy ML models with MLflow, and create Power BI dashboards to support analytics and reporting in an AI-focused environment.
Designs and maintains scalable data pipelines for a cybersecurity platform using Python, PySpark, and cloud infrastructure to process large datasets in real time.
Mid-level Data Steward at a credit rating agency, maintaining financial reference data, resolving complex data issues, and improving processes with SQL, Python, and AI tools.
Middle Data Engineer builds and maintains ETL/ELT pipelines using Python and GreenPlum/PostgreSQL to integrate and transform corporate data for analytics.
Builds and maintains data pipelines and databases for insurance pricing models using SQL, Python, and Airflow to power real-time analytics and business decisions.
Data Engineer builds and validates cloud data pipelines on AWS/Snowflake using DBT and Airflow, with Informatica IICS, for a global pharma client’s commercial vaccines project.
Data Engineer integrates financial and tax data from complex ERP/SAP systems for US clients, building pipelines and ensuring data accuracy.
Build and maintain data pipelines and models in BigQuery using SQL and Python to power Kitman Labs' sports performance analytics platform.
Build and maintain Snowflake-based data pipelines and APIs for a football club, integrating analytics and fan engagement systems.
Build and maintain Snowflake data pipelines for performance analytics and BI at a professional football club, using Git for version control.
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