7 Remote Entry-level Data Engineering Jobs (No Experience Required)
Explore flexible and work from home entry-level data engineering positions available worldwide. Your career in truly remote companies - apply today.
4 hours ago
Zoetis
10,000+
Data Engineering Intern at Zoetis working with data engineering teams to develop ETL processes and data pipelines in a collaborative environment.
6 hours ago
Centene Corporation
10,000+
As an intern at Centene, support Business Technology Solutions through coding and documentation review.
17 hours ago
Zoetis
10,000+
As a Data Engineering Intern at Zoetis, you will develop ETL processes and manage datasets.
Yesterday
Hart, Inc.
11 - 50
Join Hart as a Data Engineering Intern to assist in healthcare data management and integration.
November 11
Radian
1001 - 5000
Data Engineering Intern at Radian working on software products.
November 8
Raft
51 - 200
Data Engineering Intern enhancing Data Fabric with open-source datasets at Raft.
Top companies hiring remote entry-level data engineering
Hart, Inc.
EHR Data Transformation • EHR Archival • Healthcare Data Transformation
11 - 50
Job Openings
Radian
Mortgage Insurance • Loss Management and Homeownership Preservation • Risk Management
1001 - 5000
Job Openings
Remote data engineering salary expectations
The average salary for remote data engineering is $171,665 per year. This is based on data from 126 job openings.
Our advanced AI searches the internet for remote job openings and posts them on our website. We use the salary data from these job postings to calculate data engineering salaries.
Below is a breakdown of salary data by years of experience:
| Experience | Number of roles analyzed | Average Salary |
|---|---|---|
🟢 Junior Data Engineering (1-2 yrs) | 7 | $96,986 |
🟡 Mid-level Data Engineering (2-4 yrs) | 26 | $154,077 |
🟠 Senior Data Engineering (5-9 yrs) | 69 | $167,134 |
🔴 Lead Data Engineering (10+ yrs) | 24 | $225,530 |
Frequently asked questions
You need strong analytical skills, proficiency in programming languages like Python or Java, knowledge of SQL and databases, and an understanding of data pipeline and ETL processes. Familiarity with cloud platforms and data visualization tools is also helpful.
Typically, you need a degree in computer science, information technology, or a related field. Relevant internships or projects can enhance your resume, and certifications in data technologies can be advantageous.
Responsibilities include assisting in data collection and processing, maintaining and optimizing data pipelines, supporting data infrastructure, and collaborating with data teams to ensure data quality. You may also need to document processes and troubleshoot issues.
Benefits include flexible work hours, the ability to work from anywhere, exposure to diverse projects, and opportunities for skill development. Remote work can also lead to a better work-life balance and reduced commuting costs.