Top Data Engineer Jobs

The Data Engineer will design and implement a cloud data warehouse using Snowflake and dbt, focusing on data vault modeling, ETL/ELT processes, and data quality frameworks while supporting cloud migration efforts.

Develops, debugs, and maintains software applications, focusing on building data pipelines and optimizing database performance in a hybrid team environment.

The AWS Data Engineer will design, build, and optimize data pipelines on AWS, ensuring performance and data quality for analytics. Responsibilities include developing ETL processes, collaborating with teams, and monitoring data workflows.

As a Data Engineer, you will design and maintain scalable data platforms, develop ETL workflows, and support data analytics initiatives in a collaborative team environment.

Seeking a Database Administrator/Data Engineer for AWS migration, responsible for migrating databases, developing Python scripts, and building data pipelines.

As a Data Engineer at Vagaro, you'll migrate data to Microsoft Fabric, develop ETL/ELT pipelines, ensure data quality, and collaborate with Machine Learning and Business Intelligence teams.

The Data Engineer/ETL Engineer will support cloud-based and on-prem application development, focusing on data management and analytics for defense and intelligence.

The Data Engineer is responsible for building and maintaining ETL/ELT pipelines, optimizing data storage formats, managing CI/CD pipelines, and creating visualizations with actionable insights, focusing on reliability and data quality.

The Data Engineer will design and maintain databases and workflows, develop Python code for data processes, and collaborate with teams to ensure data accessibility and accuracy.

The role involves developing data solutions, integrating and transforming data, collaborating with stakeholders, and monitoring performance to support decision-making processes.

The Lead Data Engineer will design and build the data warehouse, develop ETL/ELT pipelines, and establish data governance and quality practices while building a team to support data-driven growth.

Design, build, and maintain scalable data pipelines and ETL workflows using Python, Snowflake, DBT, Fivetran, and Amazon DMS. Integrate APIs and streaming data (Kafka), orchestrate with Airflow, and deploy containerized solutions with Docker and Kubernetes. Monitor, optimize, and collaborate across teams to ensure reliable, high-quality data delivery.

This role involves building and maintaining data pipelines, developing data models, and ensuring data discoverability while enabling scalable analytics on blockchain data.

Lead the development of AI solutions and data engineering strategies. Implement AI data pipelines, collaborate with teams, and ensure the reliability of data systems.

Design, build, and maintain data infrastructure, client integrations, and data models to support analytics and AI at Trovo Health.

Design, build, and maintain scalable data models, ETL/ELT pipelines, and architecture for healthcare datasets. Ensure data quality, governance, security (HIPAA/SOC2/HITRUST), and support analytics and GenAI use cases while collaborating with Data Science and engineering teams.

Build scalable pipelines and infrastructure to collect, validate, curate, and publish large multimodal 3D/4D microscopy datasets; collaborate with labs and engineers, document provenance, apply statistical analysis and visualization, and support ML research and open-data access.

Build and maintain scalable data, model training, and inference pipelines for large multimodal 3D/4D microscopy datasets; implement multi-node GPU training/inference, ensure data provenance and quality, collaborate with scientists, document workflows, and support model deployment and public data release.

As an Azure Data Platform Consultant, you will deliver data solutions using Azure and Fabric, engage with clients, design solutions, and optimize data platforms.

The Data Engineer will design and implement scalable data platforms, build data pipelines, collaborate with teams to ensure data quality, and streamline processes using AWS services and big data technologies.

Design, build, and maintain Azure-based data infrastructure and pipelines; integrate disparate data sources; implement data governance and quality; support retail analytics product discovery and insights; establish standards and best practices; mentor team members and consult cross-functionally to drive business growth.

The Senior Research Engineer will curate large datasets, automate data pipelines, optimize queries, and support data-driven research impacting business outcomes.

The Data Analytics Engineer will enhance Salesforce analytics, translate business requirements into technical specifications, maintain data flows, and ensure data quality and reporting standards.

The HR Data Engineer/Data Scientist will design and maintain data integration pipelines for workforce-related datasets, ensuring high-quality data and collaborating with stakeholders. Responsibilities include automating data workflows, developing documentation, validating data, and implementing governance frameworks.

Develop and design data pipelines, optimize data delivery and automate processes to support end-to-end solutions in various settings.