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!
Senior Data Engineer, Product Analytics
Senior Data Engineer shaping data strategy and executing technical projects for AI applications. Collaborating across teams to deliver scalable data solutions and support analytics needs.
Desarrollador DataOps
Ingeniero/a Data Ops responsable del mantenimiento de plataformas de datos, asegura disponibilidad y calidad de los datos. Trabaja en equipo para optimizar procesos en el ecosistema analítico.
Data Architect
Data Architect leading strategic data model design at InPost, an innovative logistics company revolutionizing parcel delivery. Requires expertise in data engineering and architecture principles and technologies.
Senior Data Engineer
Senior Data Engineer providing technical leadership and analysis in data engineering at Accelint. Responsible for managing complex modeling efforts in support of Navy and DoD programs.
Senior Data Operations Engineer – DataOps
Lead the evolution of DataOps practices at a global scale. Design automated, resilient, scalable data platforms on GCP for self-service data infrastructure.
Senior Data Engineer
Senior Data Engineer designing GCP-native data solutions for machine learning and analytics initiatives. Building reusable data products and collaborating with cross-functional teams in a remote setup.
Data Engineer
Data Engineer designing and operating scalable ETL and streaming pipelines. Focused on building reliable data platforms for analytics, ROI reporting, and compliance.
Data Engineer – Health Data Metrics
Mid to senior level Data Engineer at Keebler Health optimizing healthcare data infrastructure for AI solutions. Building scalable data pipelines and collaborating with stakeholders.
Senior Data Warehouse Engineer
Senior Data Warehouse Engineer supporting the implementation and development of cloud data warehouse solutions. Building data foundations for insights in autonomy products at Forterra.
Data Engineer
Data Engineer at J4RVIS designing and maintaining scalable data solutions across cloud platforms. Involving data pipelines and client collaboration for technical solutions.
Senior Software Engineer – API Development, Data Engineering
Senior Software Engineer responsible for API development and data engineering at Tealium. Building scalable solutions for managing customer data and enhancing user experience.
Senior Azure/Fabric Data Engineer
Azure Data Engineer designing and developing scalable data solutions using Microsoft Azure technologies. Requires expertise in Azure Data Factory and Azure Synapse Analytics with extensive data engineering experience.
Data Engineer
Data Engineer responsible for building and maintaining data platforms at Expression. Collaborating with senior engineers and stakeholders to implement data quality and governance measures.
Data Engineer
Data Engineer optimizing data pipelines while collaborating with Data Scientists at a data and analytics startup. Ensuring data reliability and seamless delivery in a supportive environment.
Data Engineer
Data Engineer responsible for building and maintaining data pipelines at Builder Prime. Work remotely while collaborating on data infrastructure and analytics solutions.
Data Architect, Data Platform – Azure
Data Architect responsible for data warehouse and reporting layer on Azure at CargoSprint. Collaborating across teams to ensure data quality and analytics enablement.
Senior Data Engineer – B2B Contract
Data Engineer handling ETL technologies and data analysis for fusionSpan. Working with the Data & Integrations team and addressing data analytics challenges in multiple projects.
Senior Data Engineer II
Sr. Data Engineer II supporting C2SET interoperability, validating data exchanges, and ensuring compliance with standards. Collaborating with analysts and stakeholders for accurate data flow during training exercises.
Senior Data Engineer
Senior Data Engineer responsible for architecting and managing data flows at Health Gorilla. Seeking a data expert to build analytics infrastructure for healthcare data exchange.
IT Cloud Data Engineer – HVR, DBT
IT Cloud Data Engineer developing data integration and transformation jobs for Advocate Health. Building and optimizing data pipelines using Python, SQL, and ETL tools in a remote setting.
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.