Top Data Engineer Jobs

As a Lead Data Engineer, you'll design and enhance data pipelines, collaborate with stakeholders, and oversee data architecture using various cloud technologies.

As a Senior Data Engineer I, you will build data capabilities for product expansion, integrate external APIs, design robust data pipelines, and collaborate with various teams to enhance systems and practices.

The Lead Python Developer will design and develop Python-based analytics solutions, create reporting tools, collaborate with stakeholders, and mentor peers in a healthcare analytics environment.

The Senior Software Engineer will design, build, and maintain data platforms within the EDW, collaborating on architectural patterns and guiding junior engineers while focusing on performance and cost efficiency.

The Data Engineer (AI) Senior Engineer will develop and maintain data pipelines, ensure data quality, implement deployment processes, provide training, and comply with military standards.

The Data Engineer will design and maintain scalable data pipelines, optimize ETL processes, and ensure data quality for analytics in healthcare.

The Sales Data Analytics & Visualization Developer will create advanced analytics and visualizations to support sales and marketing, ensuring strategic objectives are met through actionable insights and automated reporting tools.

The role involves overseeing data engineering activities, improving data governance processes, and mentoring teams while architecting scalable data platforms and solutions.

Design, develop, and maintain data pipelines; collaborate with teams to support data needs; optimize data jobs and ensure data quality; utilize AWS services for data solutions.

The Data Analytics Engineer will build reliable data pipelines, transform data for analysis, and create dashboards and reports while collaborating with cross-functional teams.

Implement and enforce data governance, manage data cataloging and metadata, facilitate Atlan adoption, align data models with analytics needs, manage controls and audits, mentor junior staff, and resolve data quality issues while collaborating with business and engineering teams.

Lead design and implementation of batch and streaming data pipelines, build data models, implement data quality and testing, manage orchestration and IaC, mentor engineers, and communicate technical direction and tradeoffs to stakeholders.

Build and maintain scalable batch and real-time data pipelines using Kafka, Google Dataflow, Snowflake and S3. Integrate APIs via Apigee, ensure data quality, publish data for reporting, and collaborate with stakeholders to document workflows and support analytics.

Lead design and delivery of enterprise data centralization and automation for reporting and BI. Build and maintain ETL/SSIS pipelines, data orchestration, file delivery and quality controls, follow SDLC/agile, mentor junior engineers, and partner with business stakeholders to capture requirements and ensure timely data delivery.

Design, build, and maintain scalable ETL/ELT data pipelines on Databricks and AWS S3; manage large geospatial and temporal datasets; productionize ML models; implement data validation, testing, and monitoring; optimize storage and processing; document workflows; collaborate cross-functionally.

The role involves building and optimizing data pipelines, modeling datasets, applying machine learning techniques, and supporting data strategies. Candidates should have experience with Python, data lakes, warehousing, and related technologies.

The Senior Data Engineer will design and optimize data infrastructure, build scalable data pipelines, and ensure data quality while collaborating with various teams.

The Senior Data Engineer will design and implement data pipelines, data models, and dashboards using cloud technologies and analytics tools to drive business insights and performance.

As a Data Analytics Engineer at Pelago, you'll design and maintain scalable data models, ensure data quality, and collaborate across teams to support analytics and machine learning initiatives.

The Senior Data Engineer will design and build scalable data solutions, manage data infrastructure and pipelines, and collaborate with teams to ensure data quality and drive business outcomes.

The Data Engineer will create dashboards, design data ingestion pipelines, enforce data quality, collaborate with stakeholders, and lead incident management.

The role involves developing and deploying advanced analytics solutions for manufacturing, utilizing machine learning and statistical techniques to optimize processes and support decision-making.

The Lead Data Engineer oversees application system implementation and development, ensuring compliance and user support while guiding less experienced staff.

The Data Infrastructure Engineer will build and operate data platforms for AI/ML analytics, focusing on data pipelines, lakehouse architecture, governance, automation, and CI/CD for data workflows.

Develop and support cloud-based data analytics architecture, including Power BI reports and dashboards. Collaborate with stakeholders to ensure accurate data integration and reporting solutions.