Top Data Engineer Jobs

The Data Engineer will design and build solutions for investment insights using big data technologies, developing data pipelines, and collaborating with cross-functional teams.

As a Database Administrator, you will manage Microsoft SQL Server environments, oversee database performance, optimize cloud data migration, and collaborate with analytics teams to provide data solutions.

The Senior Scientific Data Engineer will design and develop software applications, create data architectures, analyze data for solutions, and mentor junior team members within a mission-driven team focused on cancer treatment.

The Data Engineer conducts data analytics projects, implements data standards, and collaborates with stakeholders while ensuring data quality and integrity.

As a Data Engineer Intern, you will design and build data systems and tools for AI-driven workflows, optimize data quality across GTM systems, and develop internal applications using TypeScript and React.

The Data Engineer will design and maintain scalable data infrastructure and pipelines, ensuring data quality and security on Azure, while collaborating with client teams.

As a Founding Data Engineer, you'll build ETL pipelines, design scalable data models on AWS, and process complex healthcare data to improve patient care.

Build and maintain ETL pipelines and workflows to process cloud billing data. Design data storage systems and develop validation systems to ensure data quality.

Design, build, and maintain scalable data pipelines and tooling to support AI and analytics. Manage datastores (MySQL, Redshift, OpenSearch), implement AWS-based ETL/ELT solutions, collaborate with data science and product teams, and ensure data quality, automation, and production reliability.

Migrate HiveQL and Python workflows from CDSW to Databricks, design and maintain ETL pipelines and databases, optimize data workflows on cloud platforms (AWS/Databricks), implement CI/CD, and collaborate with analytics teams to ensure scalable, high-quality data delivery supporting DoD stakeholders.

Mid-level Data Engineer responsible for managing data infrastructure, ensuring data quality, and developing Power BI dashboards and reports. Involves collaborating with various teams, integrating data, and ensuring compliance with reporting requirements.

The role involves developing and maintaining Power BI-based financial reporting solutions, ensuring data accuracy and security, and supporting the FP&A organization with analytics.

The Data Engineer will build and maintain scalable data pipelines, process large datasets, and coordinate data handling with privacy compliance, mainly using Azure and various data technologies.

Develop, maintain, and orchestrate cloud-native ETL/ELT pipelines using Python and Airflow. Build serverless workflows with AWS Lambda, model transformations with dbt, manage DynamoDB schemas, automate CI/CD, and implement data quality, testing, and governance to support analytics.

As a Data Engineer, you will architect and maintain the data systems, create pipelines and integrations, and ensure data quality for analytics and reporting.

The Cloud Data Engineer will design, implement, and manage data solutions on Microsoft Azure, create and maintain data pipelines, and ensure data security for decision-making processes.

Lead technical onboarding and integrations: map customer schemas to canonical models, design incremental and full data syncs, deploy pipelines across on-prem/cloud infra, collaborate with AI/ML teams to ensure high-fidelity inputs, and own successful customer deployments and last-mile onboarding.

Build and optimize core data platform: improve ClickHouse performance, create configurable ingestion schemas, develop shared Python libraries, design integration pipelines, and architect monitoring/observability for reliable, production-grade data delivery.

The Data Engineer will build and operationalize data solutions, design complex data systems, collaborate across teams, and ensure high-quality data management.

The Data Engineer II designs, develops, and maintains data integration and analytics solutions, ensuring data quality and accessibility for business stakeholders, while collaborating with teams to meet business needs.

The Data Engineer will design, develop, and implement data solutions, ensuring data integrity and availability, collaborating with stakeholders to meet business analytics needs.

Design, build, and operate GTM data pipelines, a unified data lake, and enrichment workflows using cloud data infra, LLMs, and orchestration tools to enable segmentation, ICP scoring, and revenue analytics.

Lead technical strategy for data architecture, build and optimize ETL/ELT and streaming pipelines, establish observability and data quality standards, mentor engineers, drive large-scale cross-team designs, and deliver self-serve data products for analytics and ML.

The Senior Data Engineer designs and maintains data pipelines, ensures data quality, and supports advanced analytics for U.S. Naval Aviation. They oversee data engineering practices and contribute to enterprise-scale architecture initiatives.

The Data Engineer will build and maintain data pipelines, ensuring high-quality and scalable data systems while working on analytics and machine learning accessibility.