Top Data Engineer Jobs

The Data Engineer will manage and develop data warehousing solutions, implement ETL processes, and utilize SQL for data analysis and reporting. Experience in analytics tools and communication is essential.

Summer full-time (8-12 week) Data Engineer internship supporting data engineering, visualization, and insights tasks. Participate in agile meetings, complete trainings and assigned work, assist requirement gathering, and collaborate with teams to develop data solutions.

As a Data Engineer at Figma, you'll build and maintain scalable data pipelines, optimize data models, and collaborate with teams to ensure timely data delivery.

The Data Engineer will manage data extraction pipelines, modernize data systems, implement monitoring tools, optimize workflows, and support compliance requirements using various tools and platforms.

As a Data Engineer at Booz Allen, you'll design, develop, and maintain cloud-based data platforms, pipelines, and databases to extract insights from data for various missions.

The Cloud Data Engineer will design and develop data ingestion pipelines, manage GCP infrastructure, and ensure data availability for operational systems, leveraging AI tools and collaborating closely with data specialists.

The Lead Platform Data Engineer will design data architecture, develop scalable workflows, ensure data quality, and mentor teams in modern DataOps practices.

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.

The Data Engineer will develop automated data pipelines for dashboards, import data from external sources, and engage with clients to optimize data usage.

The Data Engineer will design and maintain scalable data pipelines, automate workflows, and enhance data governance while collaborating with cross-functional teams.

The Data Engineer I at Storable supports the design and maintenance of data pipelines, works with ETL processes, optimizes workflows, and collaborates with various teams to enhance data accessibility and reliability.

The role involves supporting the design, development, and maintenance of databases, contributing to data ingestion and storage strategies, and collaborating with senior engineers to ensure data quality. This entry-level position offers hands-on experience and direct mentorship in a hybrid work environment.

The DMS Data Engineer is responsible for analyzing raw data, building data systems and pipelines, conducting complex data analyses, and collaborating on projects to enhance data quality and reliability.

Design, build, and maintain cloud data infrastructure and scalable pipelines using Azure (or AWS) tools. Create ETL/ELT logic, data models, and quality checks; migrate on-prem data to cloud lakehouses; support analytics and BI consumption.

As a Snowflake Data Engineer, you'll design, build, and maintain data infrastructure using Snowflake, focusing on governance, quality, and performance optimization. You'll collaborate with stakeholders to operationalize data use cases and implement key data strategies.

The role involves building and maintaining data infrastructure, developing data pipelines, optimizing data models, collaborating with teams to provide actionable insights, and deploying AI-driven solutions.

As a Data Engineer at Uline, design and manage ETL workflows, ensure data quality, write optimized SQL queries, and collaborate for smooth production deployments.

Design, build, and maintain scalable data platforms and pipelines (ETL/ELT). Support data ingestion, parsing, transformation, and analytics; collaborate with cross-functional teams to deploy and operate data solutions for mission-driven clients.

The Data Engineer designs and implements data solutions using AWS and Azure technologies, manages projects, interfaces with clients, and ensures documentation and testing for successful hand-offs.

The Data Engineer will develop and deploy software in government environments, manage data quality, and establish schemas while ensuring data validation steps are set up for a federal customer.

As a Data Engineer, you will build and optimize data pipelines, manage ETL workflows, and ensure efficient data access and quality within the infrastructure.

Responsible for building ETL/ELT pipelines, optimizing data workflows, monitoring data quality, and collaborating with other teams for data governance and analytics.

The Data Engineer will gather and process large datasets, develop algorithms, conduct data analysis, and improve predictive models for business decisions.

The Data Engineer will analyze data, optimize systems, and collaborate with data scientists and engineers, requiring strong SQL and PowerBI skills.

As a Data Engineer, you'll design and implement data lifecycle strategies, ensure data integrity, optimize solutions, and collaborate across teams to enhance data management.