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Builds and maintains AWS-based data pipelines (ingestion, transformation) for a Data Lake/Lakehouse, ensuring scalability, security, and compliance while collaborating on architecture standards and troubleshooting data issues.
Data Engineer building web apps for capacity management and operating a central data platform for network utilization visualization, using AWS (Athena, Redshift, Lambda, S3, Glue), SQL, Python, and Power BI in an agile Scrum team.
Build and optimize cloud ETL pipelines (AWS Glue/PySpark) and legacy integrations (IBM DataStage, SAS, SAP) to power machine learning and analytics at a data-driven company.
The Senior Data Engineer will modernize and scale data infrastructure by building pipelines using IBM DataStage, SAS, SAP, and AWS Glue. The role involves designing data pipelines and feature stores to support ML and analytics initiatives while optimizing SQL performance.
Designs and maintains scalable data pipelines and shared data products for a multi-client adtech platform, focusing on BigQuery, dbt, and Python. Drives standardization, reliability, and reusability while mentoring engineers and collaborating with stakeholders.
The Senior Data Engineer will build and maintain production-grade ELT/ETL pipelines using Snowflake, dbt, and Python. The role involves optimizing data infrastructure, ensuring data quality, and leveraging AI-assisted development tools to deliver reliable data products.
The Senior Data Engineer will design, build, and operate cloud-native data platforms using Python, Spark, and modern orchestration tools. The role focuses on applying software engineering best practices to data pipelines and cloud infrastructure.
This Data Engineer role involves modernizing a banking group's AWS Data Platform to support AI and generative AI initiatives. The consultant will focus on architecture, pipeline industrialization, and CI/CD processes within a large-scale data environment.
Builds and optimizes large-scale distributed data processing systems on AWS Databricks, designing pipelines and data lakes to ingest, validate, and monitor data from diverse sources for a fintech security company.
Build and maintain data pipelines and infrastructure using SQL, Python, Terraform, and AWS Glue.
Senior Data Engineer designing, building, and supporting cloud-based ETL/ELT pipelines, data integration, and migration solutions across AWS and Azure for public-sector clients.
Design and modernize legacy ETL pipelines using Databricks Spark on AWS, replacing IBM DataStage jobs and ensuring scalable, governed data solutions.
Designs and builds scalable data pipelines and shared data products using BigQuery, dbt, and Python to power Wpromote’s marketing analytics platform, improving standardization and reliability across client solutions.
The Senior Database Developer will design, develop, and optimize enterprise-grade database solutions on SQL Server and AWS (RDS/EC2) to support life sciences operations. The role involves leading technical architecture, ensuring regulatory compliance (GxP, HIPAA), and collaborating with cross-functional teams to manage clinical and commercial data.
The Software Engineer II, Analytics Operations will support, maintain, and enhance data platforms and analytics applications using AWS Glue, Databricks, and React. The role focuses on ensuring operational stability, resolving production incidents, and driving automation for data pipelines.
The Data Engineer will design and implement scalable data pipelines, data warehouses, and semantic models to support enterprise analytics in the healthcare domain. The role involves leveraging AWS cloud services, Power BI, and dimensional modeling to ensure data governance and high-performance reporting.
RingCX is RingCentral’s next-generation AI-powered Contact Center solution, designed to deliver seamless, intelligent, and personalized customer experiences across digital and voice channels. Built with a modern…
Senior Scientific Data Engineer on Abbott's Cancer Diagnostics R&D data platform, building Python/SQL tools, data pipelines, and AWS-based solutions to help researchers organize, validate, and analyze complex scientific data.
Designs and builds cloud-based data pipelines and warehouses using Azure/AWS and Databricks to deliver analytics solutions for retail and AI-powered projects.
Designs and implements cloud-native enterprise applications and infrastructure for a financial services firm, focusing on microservices, REST APIs, data platforms, and DevSecOps pipelines on AWS.
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