Top Data Engineer Jobs

As a Sr. Data Engineer, you will develop and optimize ETL pipelines and scalable systems on Google Cloud Platform. Your role involves delivering high-quality solutions, collaborating with cross-functional teams, mentoring junior engineers, and leading initiatives while applying strong analytical skills in an Agile environment.

As a Data Engineer, you will design and optimize scalable data pipelines, develop and maintain data architectures, collaborate on business requirements, and implement data quality checks. You will provide technical guidance to junior staff and stay updated on industry trends to drive innovation.

As a Data Engineer at Archive, you will build data pipelines, develop AI use cases, architect data infrastructure, and improve reporting practices. You will work with large datasets and collaborate with various teams to solve complex problems and enhance product metrics.

The Data Engineer will own and maintain data models across Coalition’s business, set standards for data fidelity, collaborate with various teams for reporting, improve the analytics data stack, manage ETL pipelines, and mentor junior employees.

As a Python Data Engineer, you'll build and maintain data ingestion and streaming infrastructure, evolve web crawling systems, and create ETL pipelines connecting to APIs and datasets while collaborating with global engineering teams.

As a Data Engineer at Coinbase, you will build and maintain data solutions, design robust data pipelines, ensure data quality, and develop automation tools to enhance data science processes and empower user access to accurate data.

As a Data Engineer III at Sam's Club Tech, you will design and implement low-latency REST APIs using Java or Scala, manage backend services for advertising, and work on scalable data pipelines. Responsibilities also include developing APIs for on-demand reporting, troubleshooting production issues, and utilizing modern architectures like microservices and serverless frameworks.

The Principal Data Engineer will lead the design and implementation of modern data processing platforms, develop scalable data solutions, and collaborate across teams to optimize data pipelines. They will mentor the data engineering team and create tools that drive innovation and operational excellence, focusing on the healthcare sector.

Deckers Brands is seeking a passionate Data Engineer to expand their data ecosystem, collaborate in designing future data infrastructure, and make data accessible throughout the organization. The role involves developing integrations, producing datasets, collaborating in AWS infrastructure design, writing production-level code, and creating data pipeline monitoring automation.

The Data Engineer will design and build data products including data lakes and repositories, participating in all stages of data pipeline development and working closely with cross-departmental stakeholders.

The Senior Data Engineer will lead small teams to develop scalable data solutions, ensuring project requirements are met through technical direction, collaboration, and adherence to best practices. Responsibilities include overseeing complex projects, conducting testing, implementing architectures, and driving efficiency.

As a Data Engineer III, you will design, develop, and implement data pipelines and integration solutions using Spark, Scala, and Google Cloud Platform. You'll collaborate with teams to ensure data quality, optimize data workflows, and monitor data pipelines for reliability while helping analysts and data scientists access necessary data sets.

As a Principal Data Engineer, you will lead the development and implementation of advanced data solutions, focusing on architecture, scalability, and performance tuning. Responsibilities include hands-on data analysis, integrating with business systems, enforcing data engineering best practices, and mentoring a team. You will collaborate with business leaders and data professionals to create robust technical solutions and ensure data quality and governance across platforms.

As a Data Engineer at Analog Devices, you will design and implement scalable, resilient data analytics solutions. Your responsibilities include gathering requirements, developing data processes for ingestion and analysis, utilizing cloud technologies, and ensuring data quality. You'll work with stakeholders to deliver impactful data insights and utilize tools like Tableau and PowerBI for visualizations.

The Data Engineer at AHEAD will build and support data platforms, design data pipelines for analytics and machine learning, and implement solutions using cloud-native tools. Responsibilities include processing data from diverse sources, troubleshooting issues, and collaborating with project teams to ensure timely delivery of data solutions.

The Senior Data Engineer will develop and scale a high-traffic digital ad exchange, mentor junior engineers, implement software best practices, and contribute to the architectural strategy. Responsibilities include shipping features, optimizing performance, and enhancing the overall platform.

The Data Engineer will design and implement data products, collaborating with team members on architecture for processing large data volumes. Responsibilities include building distributed data processing pipelines, evaluating new technologies, and improving data quality through automated routines and tests.