551 Remote Data Engineer Jobs
Explore top remote data engineer jobs and find flexible roles such as data architect, analytics engineer, product analyst on Kickstart Remote. Work from anywhere and advance your career today!
Engenheiro de Dados Sênior
Senior Data Engineer leading the definition and implementation of data architecture. Responsible for quality, security, and performance optimization of data solutions.
Senior Data Engineer
Senior Data Engineer responsible for analytics function at Vanta. Design and deploy data infrastructure to enhance security measures for businesses.
Data Engineer
Data Engineer developing and maintaining data pipelines for the USMC Logistics Data Systems Program. This remote role involves collaboration and technical solution design for logistics data.
Information Management Data Architect
Principal Databricks Architect leading the development of RGA's data science and AI platform. Driving innovation and ensuring governance within a global team setting.
Senior Software Engineer, Data Engineer
Senior Software Engineer (Data Engineer) developing scalable data solutions for analytics and AI at Maropost. Collaborating across teams to deliver end-to-end engineering solutions with minimal dependencies.
Data Architect – Specialist
Data Architect Specialist working on strategic data architecture transformation projects with global leadership interactions. Focus on improving data governance, scalability, and strategic data management.
Senior Data Engineer – Bilingüe
Senior Data Engineer designing and maintaining ETL/ELT data pipelines using Python. Balancing between hybrid environments and AWS expertise for data integration.
Senior Data Engineer
Senior Data Engineer building high-performance data infrastructure for regulatory reporting at DraftKings. Collaborating with cross-functional teams to enhance data quality and support business operations.
Senior Data Engineer
Senior Data Engineer at ClubReady optimizing reporting solutions and managing data products for enterprise clients in a remote setup. Collaborating with technical domain experts and external stakeholders for data-driven solutions.
Data Architect
Data Technical Lead overseeing the technical direction of the data platform at a FinTech startup specializing in unified AI-powered financial services. Building scalable systems and mentoring engineers.
Senior Data Engineer
Senior Data Engineer developing Sigma Software’s corporate Data Platform that powers analytics and decision-making. Collaborating closely with teams to enhance data quality and operational insights.
Lead Data Engineer
Lead Data Engineer responsible for developing AI-driven data pipelines and infrastructure. Collaborate with the CTO and build a team within a fully remote environment.
Data Engineer
Data Engineer responsible for building data pipelines and ensuring data quality for analytics. Collaborating with cross-functional teams to support enterprise decision-making in a remote setup.
Senior Data Engineer, DataBricks, Data Privacy – LGPD
Senior Data Engineer supporting Databricks integration with focus on data privacy and governance. Working with cross-functional teams to ensure compliance with LGPD requirements.
Senior GenAI Data Engineer, Databricks
Data Engineer specializing in AI applications for a fast-growing advertising tech company. Building data pipelines and enhancing data reliability while collaborating with cross-functional teams.
Lead Architect – Master Data
Lead Architect driving global master data architecture strategy during SAP S/4HANA transformation at Scotts Miracle-Gro. Collaborate with VP, Data Intelligence & AI on enterprise data management initiatives.
Senior Data Science Engineer
Sr Data Science Engineer at LegitScript developing ML models for risk detection and prioritization. Collaborating on data pipelines and production-ready APIs in a flexible work environment.
Director, Data Engineering – Business Applications
Director of Data Engineering and Business Applications at FOCUS overseeing data pipelines and application management. Collaborating with C-level executives to align data infrastructure with strategic growth objectives.
Enterprise Architect – Data Management
Enterprise Architect tackling complex data challenges and shaping integration across the enterprise. Leading technical direction to improve outcomes and operational efficiency.
Director, Data Engineering – Business Applications
Director, Data Engineering responsible for enterprise data engineering and business applications at PEAK6. Collaborating with leaders to align data infrastructure with strategic objectives.
Remote data engineer salary expectations & hiring insights
Looking to build your career in data engineer?
According to our job data analysis, the average remote data engineer salary is $141,377 per year, based on insights from over 801 job listings.
These roles span across startups (2–10 employees) to established firms (51–200 employees).
The demand for remote data engineers continues to grow rapidly, with top companies like Truelogic Software and 3Pillar Global offering roles such as Data Architect and Analytics Engineer.
Salary breakdown by experience
| Experience level | Average salary |
|---|---|
| Entry-level | $27 |
| Junior | $86,812 |
| Mid-level | $109,622 |
| Senior | $135,931 |
| Lead | $215,956 |
Skills hiring teams expect
Hiring managers consistently highlight SQL (10.0%) as the must-have skill for remote data engineer roles. Python (9.4%) follows closely, showing how teams blend analytical depth with modern tooling. We parsed live job descriptions to surface the most requested capabilities.
10.0%
9.4%
8.2%
7.1%
6.8%
Companies leading remote hiring
Organizations such as Truelogic Software (15), 3Pillar Global (12), CI&T (11), Bluelight (10), and Welocalize (9) have published the most openings lately, offering a snapshot of the employers investing in distributed data engineer talent.
Top regions hiring remotely
🇺🇸 United States accounts for the largest share of distributed data engineers openings, capturing 63.6% of the listings we track. 🇮🇳 India adds another 11.6%, proving that teams are scaling far beyond a single time zone. Use this regional data to target your outreach and tailor availability windows.
82 listings
15 listings
15 listings
9 listings
8 listings
Education trends
Bachelor Degree remains the most frequently cited credential, appearing in 96.4% of verified postings. Professional Certificate requirements show up in 0.4% of roles, so highlight comparable experience if your path differs. Mentioning equivalent coursework or certifications helps recruiters validate your background quickly.
96.4% of postings
0.4% of postings
3.0% of postings
0.2% of postings
Ask our talent partners
FAQs about Data Engineer
Quick answers we share most often with job seekers exploring data engineer paths.
Question 1What skills do you need to get a remote Data Engineer job?
You need strong skills in SQL, Python, and ETL processes to build data pipelines. Experience with cloud platforms like AWS is also highly valuable for managing data infrastructure remotely.
Question 2What qualifications do you need to get a remote Data Engineer job?
Most positions require a bachelor's degree in computer science or a related field. Practical experience through internships or projects that use SQL, Python, and cloud tools is equally important.
Question 3What are the responsibilities of someone who does a remote Data Engineer job?
A remote Data Engineer builds and maintains reliable data pipelines to move and transform information. They also design data warehouses and ensure data quality for their team's use.
Question 4What are the benefits of a remote Data Engineer job?
This role offers great flexibility in your work location and schedule. You also get to use modern cloud technologies while collaborating with a distributed team.
Question 5What does a typical day look like for a remote Data Engineer?
Your day involves writing code for data pipelines, troubleshooting data quality issues, and joining video calls with your team. You will also monitor data systems and update documentation for your work.
Question 6What tools do remote Data Engineer teams commonly use?
Teams frequently use SQL databases, Python for scripting, and AWS for cloud infrastructure. They also rely on collaboration tools like Slack and version control with Git.
Question 7How can you grow your career as a remote Data Engineer professional?
Focus on mastering advanced data architecture and distributed systems concepts. Building a strong professional network and contributing to open-source projects can also open new opportunities.
Question 8Why is Data Engineer important in remote-first companies?
Data Engineers create the centralized data systems that keep distributed teams aligned. They provide the clean, reliable data needed for all departments to make informed decisions.