There are 15 Data Engineer positions in the remote sector, all full-time roles. Top skills include Python, SQL, ETL, AWS, and Data Modeling. Most positions (10) are in the Americas, with 8 in Canada. Unfortunately, current salary data is not available, but Data Engineers typically earn well above average, with senior positions commanding EUR 150,000+.
Job title
Data Engineer Remote Jobs
Open positions
- No positions for this job title currently
Salary expectations
Average: 198,214 EUR per year – based on 0 job listings.
Experience
Avg. salary
Entry-level (0 yrs)
235,000 EUR
Mid-level (2–4 yrs)
216,625 EUR
Senior (5–9 yrs)
171,063 EUR
Lead / Staff (10+ yrs)
206,500 EUR
In-demand skills
Top skills from 0 job listings
Go
0%
Python
0%
AWS
0%
ETL
0%
Rust
0%
Azure
0%
CI/CD
0%
Kafka
0%
Terraform
0%
Postgres
0%
Hiring companies
RBC · 8 Eclinicalsolutions · 7 Gen Digital · 6 Mapbox · 5 Komodohealth · 4 Employerdirecthealthcare · 4 Elliptic · 4 Cigna Healthcare · 4 Everway · 3 Nearform · 3 Xyz Reality · 3 SunnyData · 3
Similar job titles
What to expect from a remote Data Engineer role
This page groups 0 active openings for Data Engineer across 12 employers. That makes it easier to compare scope, level and hiring patterns for this role.
For positions like Data Engineer, companies usually care about real execution, clear written communication and the ability to deliver without constant supervision.
How to improve your application for Data Engineer
- Tie your experience to ownership, impact and concrete deliverables.
- Show proof of remote work, async collaboration and solid documentation.
- Adapt every application to the role level, company context and tool stack.
Frequently asked questions
What does a Data Engineer do in remote roles?
A Data Engineer develops and manages data pipelines, infrastructure, and systems for data processing. Tasks include ETL processes, database design, cloud infrastructure with AWS or Azure, and implementation of data warehouses. They work with tools like Python, SQL, Snowflake, and dbt to make data available to analysts and data scientists.
What skills and qualifications are required?
Required are Python, SQL, ETL processes, and cloud platforms (AWS, Azure). Also important are data modeling, Snowflake or similar warehouse tools, dbt (data build tool), data architecture, and database administration. Many positions require Linux and Git knowledge.
What is the salary for a remote Data Engineer?
Current salary data is unfortunately not available. Based on market trends, Data Engineers in remote positions earn between EUR 100,000 and EUR 180,000, with junior levels around EUR 80,000, mid-level at EUR 120,000, and senior levels at EUR 150,000+. AWS certifications and Snowflake expertise can lead to higher salaries.
What career advancement is possible?
Data Engineers can advance to Senior Data Engineer, Lead Data Engineer, or Engineering Manager roles. With additional analytics knowledge, transition to Analytics Engineer is possible. Specializations like Data Architect or Cloud Data Engineer open further career paths.
Which top employers are hiring Data Engineers?
Top companies include RBC, Karbon, Cigna Healthcare, First American, HackerOne, and Cohere. These firms need experienced Data Engineers with expertise in cloud-based data infrastructure.
In which regions are most Data Engineer positions located?
Most positions are in the Americas (10), with 8 in Canada, 2 in Asia-Pacific, 2 in the USA, and 1 each in India and worldwide.
Career guide
How do you become a Data Engineer and is it possible to transition into remote work?
Data Engineers need strong programming skills, usually Python or SQL, plus understanding of data architecture. A CS or math degree is helpful but not required – career changers with solid coding chops and data passion can make it. Remote is ideal since the work is mostly code.
What tools and skills does a Data Engineer need to work from home?
Python and SQL are primary languages. Building ETL processes and understanding Data Modeling are core. Cloud platforms like AWS, Azure, and data warehouses like Snowflake and dbt are table-stakes. You should handle big data frameworks like Kafka and think architecturally about data pipelines. Data Engineering as a craft matters.
Is Data Engineer a suitable remote role for beginners?
Breaking in is challenging since most roles expect 2-3 years of experience. You can start in Junior Data Engineer positions or smaller companies where you learn from established teams. With solid Python and SQL foundations and genuine interest in data processing, it's realistic.
What certifications and training help a Data Engineer advance?
AWS Data Engineer or Azure Data Engineer certifications are recognized. dbt and Snowflake certifications also help directly. Hands-on projects with large datasets and understanding real data pipelines often beat formal credentials.
What does a typical day look like for a Data Engineer working from home?
You'll build ETL pipelines, optimize data flows, and write SQL queries for data scientists and analysts. You'll do architecture reviews for new data sources and monitor production pipelines. You work closely with data scientists and troubleshoot data quality issues. It's heads-down coding punctuated by brief syncs.
How do you stand out in a remote job application as a Data Engineer?
Show your portfolio with real data projects – ETL pipelines you've built or data architectures you've designed. Explain your scaling decisions and how you've handled large data volumes. It's especially impressive when you show you understand performance and reliability in data flows.