Get the job you really want.

Top Entry Level Data Engineer Jobs in Washington DC,

16 Days Ago
USA
Remote
46 Employees
Entry level
46 Employees
Entry level
Information Technology • Consulting
The Data Integration Specialist will work with clients to onboard their data to Enterra solutions, validate data processes, and communicate requirements. Responsibilities include mapping data, addressing gaps, conducting initial data wrangling, and testing solutions. The role emphasizes collaboration with data engineers and understanding client data needs.
16 Days Ago
United States
Remote
13 Employees
Entry level
13 Employees
Entry level
Business Intelligence • Consulting
As an Ad Hoc Data Processing/Data Entry Specialist, responsible for accurately entering and processing data according to company's standards and procedures. Requires high attention to detail, efficiency, and handling confidential information.
19 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.
20 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.
20 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.
All Filters
Date Posted
Job Category
Experience
Industry
Company Name
Company Size