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Top Remote Entry Level Data Engineer Jobs

52+ Job Results
14 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.
15 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.
15 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.
15 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.
16 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.
17 Days Ago
United States
Remote
775 Employees
Entry level
775 Employees
Entry level
Agency • Marketing Tech
The Data Strategist will manage measurement strategies for marketing campaigns, leveraging data analysis, statistical modeling, and customer insights. Key responsibilities include identifying performance insights, maintaining client relationships, presenting findings, and improving reporting processes.
18 Days Ago
OR, USA
Remote
8 Employees
Entry level
8 Employees
Entry level
Information Technology • Consulting
The job involves leveraging AWS and Snowflake for data engineering responsibilities, focusing on big data solutions and cloud services. The role may also include elements of blockchain technology and artificial intelligence applications.
18 Days Ago
United States
Remote
115 Employees
70K-90K Annually
Entry level
115 Employees
70K-90K Annually
Entry level
Artificial Intelligence • Information Technology • Machine Learning
Seeking a skilled Data Operations Engineer to support data annotation production processes by optimizing, maintaining, and scaling data labeling workflows using tools like Labelbox. Responsibilities include scripting in Python, identifying bottlenecks, integrating third-party tools, and providing technical support to project managers and labelers.
Top Benefits:
401-K
Company Equity
Company Outings
+39 More
21 Days Ago
USA
Remote
2,331 Employees
Entry level
2,331 Employees
Entry level
Machine Learning • Natural Language Processing
As an Entry-Level AI Data Rater, you will engage in data management tasks such as data annotation and rating to help improve AI models. You will follow project guidelines, conduct research, and collaborate with teams to ensure data accuracy. This role offers a flexible schedule with comprehensive learning support for entry-level candidates.
21 Days Ago
The Center, IN, USA
Remote
195 Employees
Entry level
195 Employees
Entry level
Consulting
The Data Scientist will utilize machine learning techniques and statistical concepts to derive business value from data. Responsibilities include data preprocessing, feature engineering, communicating with clients, participating in business development activities, and mentoring team members to enhance expertise and drive measurable business impact.
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