Is on LinkedIn?
Job not on LinkedIn
🕒 June 26
Job not on LinkedIn
Join STS as an AI & Data Engineering Apprentice, working on hands-on projects with mentorship. Develop AI and data skills through structured learning in a remote setting.
Cloud
Job not on LinkedIn
🕒 June 17
Job not on LinkedIn
AI Integration & Data Engineer Intern at innovative Language Synthesis AI firm. Focus on data integration and supporting AI features through effective data pipelines and collaboration.
JavaScript
Node.js
Python
SQL
Job not on LinkedIn
🕒 June 17
Job not on LinkedIn
Data Engineering intern at Hyper Hippo contributing to data platform development and maintenance. Collaborating with teams to optimize data pipelines and enhance analytics capabilities.
Amazon Redshift
AWS
Azure
BigQuery
Cloud
Google Cloud Platform
PySpark
Python
Spark
SQL
🕒 May 14
Data Engineer Co-Op at Clorox collaborating with Finance Transformation Team on data engineering projects. Assisting in data quality assurance, pipeline engineering, and small feature development.
Azure
ETL
PySpark
Python
SQL
Tableau
Job not on LinkedIn
🕒 March 31
Job not on LinkedIn
Data Engineer (Intern) at Mactores creating data products for businesses. Collaborating with teams to solve problems and improve decision-making with data.
Airflow
Apache
AWS
Azure
ETL
PySpark
Spark
SQL
🕒 March 25
Data Engineering Intern at Atlassian, partnering with product teams to improve data assets and guide strategy. Hands-on technical training over a summer internship program.
Python
SQL
The average salary for remote entry-level data engineers is $69,975. This is based on data from 48 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 salary expectations.
Below is a breakdown of salary data by years of experience:
| Experience | Number of roles analyzed | Average Salary |
|---|---|---|
⚪️ Entry-level Data Engineer (0 yrs) | 48 | $69,975 |
🟢 Junior Data Engineer (1-2 yrs) | 590 | $101,509 |
🟡 Mid-level Data Engineer (2-4 yrs) | 2,977 | $125,983 |
🟠 Senior Data Engineer (5-9 yrs) | 3,766 | $154,026 |
🔴 Lead Data Engineer (10+ yrs) | 523 | $190,053 |
We analyzed 5,556 job listings in the last year and found it takes about 48 days for employers to close a job opening.
We reviewed 7,904 job postings and found the top 10 skills employers are asking for most often are:
You need strong programming skills, particularly in languages like Python, Java, or Scala. Familiarity with SQL, data modeling, ETL processes, and cloud services is also essential. Good analytical skills and familiarity with data visualization tools can be beneficial.
Typically, a degree in computer science, information technology, or a related field is required. Relevant internships, coursework, or projects showcasing your data engineering skills can also be advantageous. Certifications in big data technologies or cloud platforms can help.
Responsibilities include assisting in the design, construction, and maintenance of data pipelines, collaborating with data scientists and analysts to define data requirements, and ensuring data quality and integrity. You may also be involved in data cleaning and transformation tasks.
Benefits include flexible working hours, the opportunity to work from various locations, and gaining experience in a growing field. You'll also have the chance to collaborate with diverse teams and enhance your technical skills while enjoying a better work-life balance.
We scan the internet everyday and find jobs not posted on LinkedIn or other job boards.
We find jobs as soon as they're posted, so you can apply before everyone else.
Most members hear back within the first week
We find jobs other job boards miss.
