544 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 – Pipelines, APIs, AI Data Systems
Data Engineer designing and building scalable data pipelines for AI and analytics at Newfold Digital. Collaborating with analytics, BI, and AI teams for data accessibility and reuse.
Principal Data Engineer
Principal Data Engineer overseeing technical direction for AI data center engineering platform at NVIDIA-backed company. Responsible for architecture, design decisions, and mentoring the team in data infrastructure.
Senior Data Governance Analyst – Azure Purview, Data Engineering
Senior Data Governance Analyst leading Azure Purview implementations and shaping data governance strategy at Data Meaning. Working directly with clients and delivering enterprise data solutions.
Data Engineer – Contractor
Data Engineer designing and building reliable data pipelines for Fintech at myPOS. Creating scalable data architecture and ensuring data quality for business insights.
Data Engineer – Senior
Data Engineer responsible for designing and implementing data integration processes using Python and SQL. Focused on ETL automation, quality control, and data warehouse support.
Senior Data Engineer, Data Platform
Senior Data Engineer building core services for healthcare data platform. Empowering real-world patient and provider outcomes through automation and observability in a fully remote role.
AI Data Engineer
AI Data Engineer operating at the intersection of data engineering and applied AI. Building end-to-end solutions that power Power Digital’s internal AI platform with collaborative team efforts.
Data Engineer, Snowflake
Project-based Data Engineer with Snowflake for Evolved-Ideas helping organisations in Europe. Building, managing, and optimizing data pipelines while communicating with key data consumers.
Director, Interoperability Data Platform
Director leading strategy and execution for Humana’s interoperability data platform. Overseeing data ingestion and utilization across healthcare products and enterprise operations.
Data Engineer II
Data Engineer II managing data engineering functions including data modeling and ETL processes at TD. Requires 3+ years of relevant experience and a degree in a related field.
Fabric Data Engineer
Senior Fabric Data Engineer designing and optimizing enterprise data solutions using Microsoft Fabric. Collaborating with teams to modernize data platforms and providing analytics solutions.
Data Engineer – MS Fabric
Data Engineer creating and implementing modern data architectures for analytical solutions at Derevo. Working with technologies in Big Data and data management best practices.
Data Engineer, Databricks
Data Engineer focused on implementing high-quality data architectures and analytical solutions. Collaborating with internal teams and clients at Derevo to manage big data efficiently.
Senior Data Engineer – Databricks SME
Data Engineer supporting US Government client with data ingestion, deduplication, and tagging for Databricks migration. Requires extensive experience with Azure and data management technologies.
Full Stack Engineer – Data Engineering Focus
Full Stack Engineer focusing on data engineering at GNO Partners. Building scalable data pipelines and contributing to AI insights layer for Amazon sellers.
Cloud Data Architect
Data Architect designing and developing cloud database solutions for modernization initiatives at GDIT. Leading secure, scalable architecture across cloud-native and hybrid environments.
Data Engineer – Unit Lead
Unit Lead Data Engineering leading a Data Engineering team at evoila Frankfurt GmbH. Overseeing innovative data projects and modern data architectures for future technological solutions.
Manager – Data Engineering
Data Engineer at Waylin Partners designing scalable data solutions for finance, accounting, and operational needs. Leading data engineering initiatives for improved reporting and decision-making across portfolio companies.
Director – Data Engineering
Director of Data Engineering at Waylin Partners providing data consulting services. Leading data initiatives to modernize reporting and improve decision-making for clients’ portfolio companies.
HDO Data Engineer/Developer
Data Engineer at TELUS, responsible for leveraging AI and data to automate processes and enhance efficiency. Collaborating across teams to drive business outcomes 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.