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Build and maintain credit-scoring and risk models using Python, SQL, and ML to approve loans and manage delinquency, while monitoring portfolio health and running A/B tests.
Design and optimize large-scale data pipelines and cloud infrastructure for a global bank, using PySpark, Databricks, and Snowflake, while supporting AI initiatives like RAG and Agentic systems.
Build and maintain cloud-based data pipelines in AWS to feed regulatory reporting (FATCA, CRS, PTR) using Python, PySpark, Scala, and SQL.
Build and maintain scalable AWS-based data pipelines to move transactional data into analytics platforms, ensuring data quality and governance for large-scale insights.
Build and scale data pipelines for a global hotel platform, processing raw data into revenue-driving insights using PySpark, AWS, and Kafka.
Allata is a global consulting and technology services firm founded in 2016, with 350+ employees across the US, India, and Argentina. We partner with some of the world's largest enterprises to move AI from idea to…
Principal Data Engineer building and shaping national-scale data platforms for genomics research and healthcare, using Python, SQL, and cloud infrastructure to ensure secure, compliant data pipelines.
Build and optimize cloud-based data pipelines and warehouses for analytics and ML, using AWS, Snowflake, and Python to power transformation programs for global clients.
Build and maintain AWS-based ETL pipelines (Glue/PySpark, Iceberg, Step Functions) and create Amazon QuickSight dashboards to deliver healthcare analytics for operational and strategic decisions.
Build and migrate BI dashboards from Tableau to Amazon QuickSight using PostgreSQL and AWS services, plus automate testing and deployment.
Build, deploy, and scale AI/ML models and pipelines for Wave’s fintech platform, ensuring reliability, governance, and integration with AWS and MLOps tools.
Build and maintain AWS-based data pipelines and migrations using Redshift, PostgreSQL, Python, and SQL to ensure secure, scalable data delivery for analysts and engineers.
Build and maintain scalable data pipelines and warehouses using Python, SQL, Spark, and cloud tools to ensure clean, accessible data for analytics and AI services.
Build and operate Klarna’s AWS-based data platforms, designing scalable pipelines and warehouses for analytics and ML using Spark, Iceberg, Redshift, and Databricks.
Senior Data Engineer builds and maintains scalable Azure/Databricks pipelines, Data Lakes, and Lakehouses, processing structured and unstructured data for AI and analytics use cases.
Build and maintain scalable data pipelines in AWS using PySpark, Apache Airflow, and modern cloud services to modernize legacy processes and deliver high-quality data products.
Principal Data Engineer designs and builds secure, scalable data platforms for national-scale genomics and healthcare research, using Python, SQL, and cloud infrastructure.
Designs and builds cloud-based ELT/ETL pipelines on AWS/Azure and Databricks to integrate financial, ERP, and operational data for a renewable-energy IPP, then delivers Power BI reports for executives and investors.
Leads a data engineering team building and scaling Databricks-based pipelines, warehouses, and governance to support Miridi’s design-commerce platforms and AI initiatives.
Build and maintain scalable data warehouses and pipelines to power AI-driven customer-insight dashboards using Snowflake, Airflow, Kafka and Python.
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