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Top Data Engineer Jobs

772+ Job Results
2 Days Ago
Washington, DC, USA
146 Employees
Senior level
146 Employees
Senior level
Information Technology
The ETL Data Engineer will analyze, design, and develop ETL processes, manage complex data workflows using Azure tools, and ensure data integrity and governance. Responsibilities include creating end-to-end pipelines, automating workflows, and collaborating with teams to enhance data systems.
2 Days Ago
Washington, DC, USA
146 Employees
Expert/Leader
146 Employees
Expert/Leader
Information Technology
The Sr Talend Data Engineer will develop complex Talend data pipelines, perform data reconciliation and unit testing using SQL, and interact with AWS services, specifically reading data from S3 and writing to Redshift.
2 Days Ago
Mountain View, CA, USA
Hybrid
38 Employees
Mid level
38 Employees
Mid level
Artificial Intelligence • Cloud • Machine Learning • Software • Database
As a Data Engineer, you will build and optimize production-grade data solutions on AWS or GCP, develop scalable ETL pipelines, and manage data storage and transformation routines. You will work closely with the Machine Learning and Data Platform team and engage with both technical and business stakeholders.
2 Days Ago
New York, NY, USA
50 Employees
Senior level
50 Employees
Senior level
Artificial Intelligence • Marketing Tech • Software • Generative AI
Looking for a Data Engineer to lead the integration of product, financial, and business systems using SQL, dbt, and Python. Responsibilities include data workflows, data quality, modeling, documentation, collaboration, and data leadership. Requires 5+ years of experience in a SaaS environment and expertise in data engineering tools and cloud services.
Top Benefits:
401-K Matching
Commuter Benefits
Company Equity
+10 More
8 Days Ago
United States
Remote
1,200 Employees
115K-130K Annually
Senior level
1,200 Employees
115K-130K Annually
Senior level
Cloud • Productivity • Social Impact • Software • Analytics
The Senior Data Engineer will design and implement ETL processes in a cloud environment, develop monitoring solutions, document datasets, and collaborate with the Data Science team. This role requires building ETL processes and a strong understanding of data modeling.
Top Benefits:
401-K
401-K Matching
Company Equity
+39 More
2 Days Ago
Brentsville, VA, USA
Remote
45 Employees
Mid level
45 Employees
Mid level
Information Technology • Consulting
The Data Engineer will be responsible for developing and deploying data pipelines for streaming and batch data from multiple sources. They will create data models, implement business logic, and work with a variety of technologies including Azure Databricks, Apache Spark, and data storage solutions. Excellent communication skills are required.
2 Days Ago
Livonia, MI, USA
6,824 Employees
Entry level
6,824 Employees
Entry level
Healthtech
The Data Developer Specialist is responsible for the development, testing, and documentation of complex data transformations and services, providing production support, optimizing performance, and mentoring entry-level developers. This role requires expertise in ETL, SQL tuning, and data modeling methodologies to support strategic business initiatives.
2 Days Ago
4 Locations
97,838 Employees
96K-191K Annually
Senior level
97,838 Employees
96K-191K Annually
Senior level
Healthtech
The Data Engineer will design, develop, and maintain data architecture and pipelines, optimize data sources, implement cloud security, and mentor analytics professionals. They will work on complex data problems, foster best practices, and code in SQL to create curated data products.
Top Benefits:
401-K
Adoption Assistance
Child Care Benefits
+22 More

Featured Jobs

2 Days Ago
Ellenton, FL, USA
1,275 Employees
Mid level
1,275 Employees
Mid level
News + Entertainment
The Data Engineer will design and maintain data pipelines, integrate workflows, enforce data governance, and support the business intelligence platform, evolving into a Data Architect role. Responsibilities include collaborating with stakeholders to develop reports, ensuring data accuracy, and managing data infrastructure performance.
2 Days Ago
Sunnyvale, CA, USA
638 Employees
Entry level
638 Employees
Entry level
HR Tech • Information Technology
The Data Engineer will design and develop ETL solutions, ensuring data accuracy and completeness. Responsibilities include creating and maintaining ETL processes using tools like Hadoop and Hive, optimizing ETL performance, and performing data quality analysis.
2 Days Ago
Bentonville, AR, USA
Hybrid
578,950 Employees
90K-180K Annually
Senior level
578,950 Employees
90K-180K Annually
Senior level
Big Data • Cloud • Logistics • Machine Learning • Retail
The Data Engineer III will manage and optimize data pipelines, perform data transformations, support data source identification, and develop data models. The role involves writing and testing code, collaborating with business stakeholders for complex solutions, and contributing to data governance initiatives.
2 Days Ago
Sunnyvale, CA, USA
Hybrid
578,950 Employees
143K-286K Annually
Senior level
578,950 Employees
143K-286K Annually
Senior level
Big Data • Cloud • Logistics • Machine Learning • Retail
The Principal Data Engineer will design and implement data pipelines and ETL processes, develop data infrastructure using open-source technologies, collaborate with data scientists to build machine learning models, ensure data quality and governance, and mentor junior engineers. This role plays a pivotal role in driving innovation in data-driven decision making.
2 Days Ago
Sunnyvale, CA, USA
Hybrid
578,950 Employees
117K-234K Annually
Senior level
578,950 Employees
117K-234K Annually
Senior level
Big Data • Cloud • Logistics • Machine Learning • Retail
As a Senior Data Engineer, you will lead teams in developing data solutions, oversee engineering from design to implementation, manage projects, and enhance engineering designs. Your role includes building data pipelines and ensuring timely project delivery while promoting company ethics and community outreach.
2 Days Ago
Sunnyvale, CA, USA
Hybrid
578,950 Employees
90K-234K Annually
Senior level
578,950 Employees
90K-234K Annually
Senior level
Big Data • Cloud • Logistics • Machine Learning • Retail
As a Senior Data Engineer at Walmart, you will design, build, and maintain data pipelines to transform and manage extensive datasets, facilitating real-time analytics and insights for retail applications. You will collaborate with Data Scientists and Analysts to deliver reliable data assets and enhance data processing capabilities.
2 Days Ago
Sunnyvale, CA, USA
Hybrid
578,950 Employees
90K-234K Annually
Senior level
578,950 Employees
90K-234K Annually
Senior level
Big Data • Cloud • Logistics • Machine Learning • Retail
As a Senior Data Engineer at Walmart, you will collaborate with cross-functional teams to design, develop, and deploy scalable systems. You will enhance applications and services while applying your expertise in data engineering tools and practices. The role requires strong skills in multiple programming languages, cloud technologies and a thorough understanding of software design principles.
2 Days Ago
Sunnyvale, CA, USA
Hybrid
578,950 Employees
90K-234K Annually
Senior level
578,950 Employees
90K-234K Annually
Senior level
Big Data • Cloud • Logistics • Machine Learning • Retail
As a Data Engineer III at Walmart, you will build and maintain scalable data systems, collaborate with cross-functional teams on software and services development, enhance applications, and take part in code reviews and design discussions to ensure high-quality deliverables.
2 Days Ago
Sunnyvale, CA, USA
Hybrid
578,950 Employees
117K-234K Annually
Senior level
578,950 Employees
117K-234K Annually
Senior level
Big Data • Cloud • Logistics • Machine Learning • Retail
Seeking a Senior Data Engineer to design, build, and maintain scalable data infrastructure. Responsibilities include developing data architectures, managing ETL processes, optimizing databases, ensuring data quality, and collaborating with stakeholders. The role also involves performance tuning, documentation, and implementing data security measures.
2 Days Ago
Sunnyvale, CA, USA
578,950 Employees
117K-234K Annually
Senior level
578,950 Employees
117K-234K Annually
Senior level
Big Data • Cloud • Logistics • Machine Learning • Retail
The Senior Data Engineer will develop and implement data strategies, ensuring data quality and integrity. Responsibilities include creating data models, transforming data, writing and testing code, supporting data governance, and collaborating with business stakeholders to address complex data challenges.
2 Days Ago
Sunnyvale, CA, USA
578,950 Employees
143K-286K Annually
Expert/Leader
578,950 Employees
143K-286K Annually
Expert/Leader
Big Data • Cloud • Logistics • Machine Learning • Retail
The Principal Data Engineer will lead the Global Marketplace Engineering team, guide and mentor engineers, define technical architecture, and ensure alignment with business goals and scalability requirements. Responsibilities include architectural leadership, software craftsmanship, technical documentation, engineering advocacy, project leadership, cross-functional collaboration, innovation and research.
2 Days Ago
Sunnyvale, CA, USA
578,950 Employees
90K-234K Annually
Mid level
578,950 Employees
90K-234K Annually
Mid level
Big Data • Cloud • Logistics • Machine Learning • Retail
The Data Engineer III will design, develop, and deploy scalable data solutions, interact with engineering teams, contribute to product features, and ensure data governance. The role requires expertise in big data development and cloud platforms to enhance data capabilities at Sam's Club.
2 Days Ago
Sunnyvale, CA, USA
578,950 Employees
117K-234K Annually
Mid level
578,950 Employees
117K-234K Annually
Mid level
Big Data • Cloud • Logistics • Machine Learning • Retail
The role involves designing, building, and deploying high-scale data solutions, engaging with various engineering teams and product management, and developing data pipelines using big data technologies. The engineer will ensure that data applications meet SLAs and guide the team technically.
2 Days Ago
Sunnyvale, CA, USA
578,950 Employees
143K-286K Annually
Senior level
578,950 Employees
143K-286K Annually
Senior level
Big Data • Cloud • Logistics • Machine Learning • Retail
The Data Engineer will lead engineering projects, manage teams, and drive business plans. Responsibilities include developing technical solutions, conducting code reviews, implementing architectural patterns, and ensuring compliance with company policies. The role requires building scalable Big Data solutions, expert knowledge in cloud platforms, and mentoring developers.
2 Days Ago
Bentonville, AR, USA
578,950 Employees
90K-180K Annually
Mid level
578,950 Employees
90K-180K Annually
Mid level
Big Data • Cloud • Logistics • Machine Learning • Retail
As a Data Engineer III at Sam's Club AdTech, you will build and support sophisticated segmentation tools for marketing, develop and maintain REST APIs using Java or Scala, and manage large-scale containerized applications. You will also participate in API troubleshooting across various teams and work with modern architecture designs in a cloud environment.
2 Days Ago
Sunnyvale, CA, USA
578,950 Employees
117K-234K Annually
Junior
578,950 Employees
117K-234K Annually
Junior
Big Data • Cloud • Logistics • Machine Learning • Retail
The Data Engineer III position involves designing, building, testing, and deploying scalable data solutions that impact millions. The role includes collaborating with engineering teams, engaging with product management, utilizing big data technologies, and ensuring data quality and governance.
2 Days Ago
Sunnyvale, CA, USA
578,950 Employees
90K-234K Annually
Mid level
578,950 Employees
90K-234K Annually
Mid level
Big Data • Cloud • Logistics • Machine Learning • Retail
The Data Engineer III will manage data transformation and integration tasks, build data pipelines, develop data models, write and test code, support data governance initiatives, and provide business insights. The role requires collaboration with business stakeholders to ensure data solutions align with business needs.
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