584 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
Senior Data Engineer building OCR and ingestion pipelines for an AI consultancy serving insurers. Converting unstructured insurance documents into structured data for RAG and anti-financial-crime models.
Senior Data Engineer
Senior Data Engineer building cloud data platforms for Valtech, an experience innovation company. Enabling analytics, AI, GenAI, and data products through scalable pipelines and governance.
Senior Data Engineer
Senior Data Engineer building cloud data platforms for Valtech, an experience innovation company transforming brands through data, AI, creativity, and technology. Enabling analytics, GenAI, and production-grade data products.
Senior Data Engineer
Senior Data Engineer building cloud data platforms for Valtech, an experience innovation company transforming brands through data, AI, creativity, and technology. Enabling analytics, ML, GenAI, and production-grade data products.
Senior Software Engineer, Data Platform
Senior Software Engineer building distributed data infrastructure for Human Interest’s retirement fintech platform. Owning pipelines, AWS compute, security, and AI-ready architecture.
Senior Data Engineer
Senior Data Engineer building secure Databricks data products for Oportun, a mission-driven financial services company. Leading pipelines, governance, integrations, and member communications infrastructure.
AI Data Engineer
AI Data Engineer improving internal annotation tools, dashboards, and workflows. Supporting RWS’s AI data collection, labeling, and validation services with Python and Azure.
Senior Data Architect
Senior Data Architect leading scalable data architecture, pipelines, and governance for CI&T’s enterprise EdTech transformation engagement. Hands-on technical leadership with US client stakeholders.
Data Platform Engineer – Mid-level
Data Platform Engineer building self-serve CI/CD, IaC, and governance tooling for ShippyPro’s global shipping platform. Owning deployment paths, pipeline modules, and data access workflows.
Senior AI / ML / Data Engineer
Senior AI/ML/Data Engineer developing ML, NLP, LLM, and RAG solutions for QAVION GROUP’s integrated consulting and technology business. Building scalable data pipelines and GenAI services.
Senior Data Engineer
Engenheiro de Dados Sênior remoto desenvolvendo pipelines e arquitetura lakehouse para a Monte Bravo. Construção de plataforma financeira inovadora com Python, PySpark, AWS e DBT.
Data Engineer
Data Engineer building secure Snowflake data architecture and pipelines for Blood Cancer United. Enabling enterprise analytics and business intelligence to improve blood cancer patient outcomes.
Senior - Principal Data Engineer
Senior Data Engineer shaping scalable Databricks data platforms for RevoData, a European Data & AI consultancy. Leading architecture, pipelines, cloud solutions and client-facing technical decisions.
Senior / Principal Data Engineer
Senior/Principal Data Engineer building scalable Databricks data platforms for RevoData, a boutique Data & AI consultancy. Shaping architecture, pipelines and client solutions across Europe.
Software Engineer, Data
Software Engineer building Python-based cloud data systems for Kunai’s banking and fintech clients. Designing scalable pipelines, real-time streams, and data platforms using AWS, Snowflake, and Databricks.
Founding Engineer – Data Platform
Founding Engineer building a lakehouse and FHIR data platform for a healthcare AI scale-up. Processing millions of clinical events and integrating hospital systems across Latin America.
Academic Content Developer – Financial Data Engineering, Credit Systems
Academic content developer creating fintech engineering curriculum for Jala University. Designing modules, labs, reference implementations, evaluation harnesses, and instructor guides.
Lead Geospatial Data Engineer
Lead geospatial data engineer guiding cloud-based geospatial, imagery, and enterprise data solutions at Logic20/20. Leading architecture, delivery, code quality, and engineering teams.
Lead Data Engineer – PySpark, Palantir Foundry
Lead Data Engineer building governed PySpark and Palantir Foundry pipelines for Logic20/20’s AI and analytics consulting practice. Improving releases, data infrastructure, and audit readiness for client projects.
Senior Manager, Data Engineering – Medicare Revenue
Senior Manager owning CVS Health’s Medicare revenue data engineering foundation. Building auditable healthcare data pipelines for revenue forecasting, risk adjustment, Finance, and Actuarial teams.
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.