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Top Entry Level Data Engineer Jobs

172+ Job Results
4 Days Ago
Netherlands, MO, USA
12,652 Employees
Entry level
12,652 Employees
Entry level
Consumer Web
The Data Administrator will assist the R&D team with technical administrative tasks like managing the Bill of Materials, creating purchase orders, tracking costs and shipments, and supporting lab testing and specifications. This role involves working with PCM systems to ensure effective project support and performing validation testing.
7 Days Ago
USA
Remote
67 Employees
75K-150K Annually
Entry level
67 Employees
75K-150K Annually
Entry level
Sports • eSports
As a Data Engineer, you will design and maintain ETL pipelines, develop data schemas, implement secure data storage procedures, optimize data processing tasks, and coordinate with data providers. Senior Data Engineers will take on leadership roles, breaking down projects, mentoring junior engineers, and improving ETL tools.
8 Days Ago
United States
Remote
141K-188K Annually
Entry level
141K-188K Annually
Entry level
Automotive
The Manager of Software Engineering - Data at TrueCar will lead a team of data engineers, managing product roadmaps and driving engineering practices while collaborating with various stakeholders to enhance their online platform. Responsibilities include providing technical guidance, mentoring team members, and shaping the technical roadmap.
8 Days Ago
United States
Remote
312 Employees
115K-135K Annually
Entry level
312 Employees
115K-135K Annually
Entry level
Security
As a Data Engineer I, you will create and maintain scalable code for data needs, improve software processes, develop observability tools for monitoring data jobs, work with Data and MLOps Engineers to integrate data features, mentor teams on software best practices, and innovate solutions to data challenges.
8 Days Ago
United States
Remote
371 Employees
Entry level
371 Employees
Entry level
AdTech • Marketing Tech
As a Data Engineer at StackAdapt, you will design and implement modular and scalable real-time data pipelines, work on custom ML algorithms, and manage microservices for training and monitoring ML models in a collaborative environment.
9 Days Ago
San Francisco, CA, USA
84 Employees
Entry level
84 Employees
Entry level
Artificial Intelligence • Information Technology
AI Researcher responsible for developing novel architectures, system optimizations, and algorithms to push the frontier of open models. Collaborate with cross-functional teams and stay updated on the latest advancements in machine learning. Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or related field required.
10 Days Ago
7 Locations
Remote
499 Employees
Entry level
499 Employees
Entry level
Fintech • Payments • Financial Services
The role involves working with a team to deliver data engineering solutions in a financial services environment, supporting client wellness and health management through innovative technology and services.
10 Days Ago
Springfield, VA, USA
875 Employees
Entry level
875 Employees
Entry level
Cybersecurity
Provide cybersecurity data analysis services related to SIEM systems, ensuring reliable and secure service availability. Responsibilities include maintenance, testing, configuration, and integration of cybersecurity tools, as well as ensuring data flows for internal and external reporting systems. Implement emergency maintenance and keep documentation updated.
10 Days Ago
Westwood, MA, USA
40 Employees
Entry level
40 Employees
Entry level
Security
The R&D Data Assistant will support the research and development team by collecting, organizing, and annotating data while collaborating on innovative projects. Responsibilities include managing physical samples and assisting in experiment setups, ensuring high accuracy in data processes.
10 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.
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