801 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!
Data Engineer
Vobi (YC W22)
Data Engineer responsible for developing data pipelines using Python and AWS in the construction sector. Join Vobi to innovate and improve industry standards.
Data Architect
Blue Coding
Data Architect working with a US B2B SaaS company transforming behavioral health tech. Collaborating on data integration for scalable, secure data platforms.
Data Architect – Specialist
Runtalent
Arquiteto de Dados Especialista projetando arquitetura de dados para a C&A em ambientes multi-cloud e híbridos. Focado na integração de sistemas legados e inovadores/
Data Engineer
Weekday (YC W21)
Machine Learning Engineer focused on leading advanced AI systems with LLM expertise. Design and deploy scalable ML solutions while integrating models into real-world applications.
Junior Data Engineer – AWS
Binding Minds Inc. (Certified Disability Owned Business Enterprise)
Data Engineer Junior supporting development and maintenance of AWS pipelines in a dynamic, collaborative environment. Empowering early-career professionals focused on learning and best practices.
Senior Data Engineer
Xenon Seven
Senior Data Engineer designing and optimizing scalable data pipelines for financial institution. Collaborating closely with data modelers and analysts to deliver data solutions.
Senior Data Engineer, Clinical Data Warehouse
Boston Medical Center (BMC)
Senior Data Engineer at Boston Medical Center designing and implementing the organization’s research data warehouse. Collaborating with analytics and product management to leverage high-quality research and clinical data efficiently.
Senior Manager, Clinical Data Warehouse Research
Boston Medical Center (BMC)
Senior Manager managing Clinical Data Warehouse for research at Boston Medical Center. Leading a team to ensure data extraction, provisioning, and reporting align with research initiatives and compliance standards.
AI Knowledge Data Engineer
iBusiness Funding
AI Knowledge Data Engineer at iBusiness Funding, designing and implementing AI systems combining LLMs and data fusion. Collaborating with cross-functional teams to enhance business applications.
Data Migration Analyst – ETL, Data Extraction
Tivita
Data Migration Analyst focusing on ETL and Data Extraction for Tivita. Handling various data formats and ensuring smooth client migration processes.
Data Engineer
Ledgy
Data Engineer managing data infrastructure and pipelines for a financial platform at Ledgy. Collaborating with teams to drive insights and enhance data practices.
Senior Director, Data Engineering – Business Development
Champions Oncology, Inc.
Senior Director Data Engineering at Champions Oncology leading robust data platform for research and development. Focus on multi-omics data management and compliance with FAIR principles.
Senior Data Engineer
Harvey Nichols
Data Engineer at ASOS shaping the future of fashion through data. Developing data pipelines and collaborating with cross-functional teams to optimize global operations.
Senior Data Engineer
CVS Health
Sr. Data Engineer at CVS Health responsible for designing and implementing data pipelines for analytical capabilities. Working with data scientists and analysts to support data-driven decision-making.
Senior GenAI Data Engineer
The Hartford
Join insurance company as Sr GenAI Data Engineer developing AI solutions and data engineering strategies. Collaborate with teams to implement modern technologies and methodologies while mentoring junior members.
Lead Data Engineer
Forbes
Lead Data Engineer at Forbes Advisor managing data engineering team to build analytics pipelines. Focus on technical excellence and collaboration with cross-functional teams.
Data Engineer
ALTEN
Data Engineer role focuses on developing, building, and maintaining data infrastructures for energy solutions. Contributing to data collection, security, and the management of data flows for industrial applications.
Mid-Level Data Engineer
NOUS LATAM
Mid-Level Data Engineer developing efficient data pipelines using AWS and Python. Collaborating with teams to ensure data quality and contribute to data infrastructure improvements.
Mid-Level Data Engineer
NOUS LATAM
Mid-Level Data Engineer building scalable data solutions at NOUS LATAM. Designing efficient data pipelines and ensuring data quality for analytics-driven decision-making.
Mid-Level Data Engineer
NOUS LATAM
Mid-Level Data Engineer for NOUS LATAM designing efficient data pipelines and maintaining high-quality datasets. Collaborate with teams to power analytics and improve data infrastructure.
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.