Top Data Engineer Jobs
The Lead Data Engineer at Capital One is responsible for designing, developing, testing, and implementing technical solutions. The role involves collaborating with Agile teams, mentoring engineers, and delivering cloud-based solutions. Key technologies include machine learning, microservices, and data warehousing services.
The Sr. Snowflake Data Engineer will design, build, and deploy end-to-end data pipelines and ETL processes using Snowflake and Azure services. Responsible for optimizing data models, troubleshooting DevOps pipelines, and ensuring performance tuning on cloud-based DW solutions for financial clients.
Lead Data Engineer role at a leading industrial distributor focusing on centralizing and integrating high-quality, complex data sets in a scalable cloud platform. Responsibilities include designing data pipelines, working with architects, implementing data models, enabling data discovery, building frameworks, and mentoring team members. Requires 10 years of experience in modern data engineering projects and proficiency in various technologies and tools like AWS, Snowflake, Python, Docker, Kubernetes, and BI tools like Tableau and PowerBI.
As a Lead Data Engineer, you will design, develop, test, and support full-stack technical solutions. You will collaborate with Agile teams, work with big data technologies, cloud computing, and mentor other engineers while focusing on delivering robust cloud-based solutions and driving transformations at Capital One.
As a Senior Data Engineer at Capital One, you will collaborate with Agile teams to develop and support technical solutions, focusing on full-stack development and leveraging technologies like Java, Scala, Python, and cloud services. You will also work on big data technologies and data warehousing solutions while mentoring other team members and keeping up with technology trends.
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As a Senior Data Engineer at DRW, you will design and build innovative data solutions for financial markets, managing a Unified Data Platform that supports traders and researchers. This role requires expertise in distributed data systems, data pipelines, and quality assurance, as well as leadership skills to mentor junior team members.
As a Senior Data Engineer at Grubhub, you will design and maintain data pipelines, collaborate with Ads teams, optimize data storage using columnar formats, leverage technologies like Scala and Spark, and work with AWS services to ensure data integrity and efficiency while mentoring junior engineers.
The Sr. Data Engineer is responsible for designing and maintaining data architecture and pipelines, solving complex data problems to deliver insights, and creating data products for various teams. The role involves mentoring other professionals, evaluating emerging tools, and ensuring operational efficiency within data solutions while collaborating with multiple engineering teams.
Featured Jobs
The Senior Data Engineer will design, develop, and maintain data sourcing, ingestion, and transformation solutions for reporting and analytics. Responsibilities include creating data ingestion pipelines in Databricks, maintaining automation pipelines, documenting processes, and mentoring junior developers.
As a Biz App and Data Engineer, you will collaborate with cross-functional teams to develop software solutions and enable scalable Electronic Design Automation in a Cloud environment. You will engage in data analytics for Tapeout processes and develop applications using technologies such as Python, Angular, and Java on AWS or Azure platforms.
As a Data Engineer II, you will design and build reusable components for data analytics products, optimize data for ingestion, support data management projects, and implement automated workflows while collaborating with business and technology stakeholders.
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The Principal Data Architect will lead data integration and analytics efforts, collaborating with Data Science and Marketing teams. Responsibilities include designing data models, building data pipelines, improving integration practices, and ensuring service quality. They will work on enhancing data-driven marketing insights and maintaining high-quality data processes.
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.
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The Sr. Data Engineer will design and develop scalable data analytical solutions, create distributed data processing pipelines, mentor junior engineers, and collaborate with various teams to enhance customer experience through Nordstrom's analytical platform.
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.
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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 Cloud Data Engineer will design, implement, and manage cloud-based data solutions, ensuring scalable data pipelines. Responsibilities include developing complex data warehousing applications, analyzing SQL databases, and leading process improvement initiatives. Requires excellent communication skills and expertise in cloud services and big data solutions.
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.
As a Data Engineer, you will optimize data architecture, ensure data accuracy, and build scalable solutions. Your responsibilities include managing data feeds, developing ETL workflows, and working with BI reporting tools like Domo, Power BI, and SSRS.
Top Companies Hiring Data Engineers
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