Remote Data Engineer Jobs
Remote data engineer jobs are open across the U.S. at remote-first firms, distributed tech teams, and companies in software, finance, healthcare, and data infrastructure. Employers hiring remotely right now include Speechify, AECOM, and Providence. See the openings below and apply to the ones that match your experience.
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- Create cloud workspaces equipped with the most commonly used tools to ensure rapid assignment and reduced onboarding friction.
- Automate provisioning processes for user intake, workspace creation, and core Corporate Data Warehouse (CDW) access.
- Map new users to the appropriate workspace personas and configurations through an improved intake workflow.
- Build and configure workspaces in PreProd (with live data) or Prod environments, including setup of Service Principals, workgroup personas, access controls, and security configurations.
- Create and manage linked services, mount points, and integrations between Databricks and the VHA Data Lake.
- Develop and maintain Databricks catalogs to support streamlined data discovery and governed access.
- Collaborate with data platform engineers, security teams, and analytics stakeholders to ensure compliant and efficient workspace operations.
- Troubleshoot issues related to cloud provisioning, access, and workspace functionality, delivering timely and high‑quality support.
- Contribute to continuous improvement initiatives including automation enhancement, intake optimization, and workspace standardization.
- Document processes, SOPs, access models, and configurations to support operational transparency and repeatability.
- Provide white‑glove support to new and existing users, ensuring strong adoption and high user satisfaction.
- Bachelor’s degree in Information Technology, or a related field. (or commensurate experience)
- 12+ years of experience in cloud tools, Databricks, Data Lake integrations, and workspace provisioning.
- Strong analytical, problem solving, and communication skills
- Azure Administrator and/or AWS Cloud Practitioner certification
- Experience with SQL SErver, Active Directory, Data Lake design, data governance, cloud migration, business intelligence, GitHub, Terraform, ansible and Kubernetes.
- Hands-on experience with Azure or other major cloud platforms.
- Experience with Databricks workspace administration, catalog creation, mount configurations, and cluster setup.
- Familiarity with cloud identity and access management (IAM), including Service Principals, role-based access control (RBAC), and persona‑based configurations.
- Working knowledge of data lake architectures, especially Delta Lake or similar structured storage solutions.
- Experience automating cloud provisioning workflows (e.g., Terraform, ARM, Bicep, PowerShell, Python).
- Background supporting enterprise-scale data modernization or cloud migration initiatives.
- Understanding of intake workflows, user provisioning, or data-access onboarding processes.
- Ability to collaborate with cross-functional engineering and business teams.
- Strong documentation practices and experience building standard operating procedures.
- Experience supporting public sector or healthcare data environments is a plus.
- Ability to obtain and maintain a suitability/Public Trust
- Create cloud workspaces equipped with the most commonly used tools to ensure rapid assignment and reduced onboarding friction.
- Automate provisioning processes for user intake, workspace creation, and core Corporate Data Warehouse (CDW) access.
- Map new users to the appropriate workspace personas and configurations through an improved intake workflow.
- Build and configure workspaces in PreProd (with live data) or Prod environments, including setup of Service Principals, workgroup personas, access controls, and security configurations.
- Create and manage linked services, mount points, and integrations between Databricks and the VHA Data Lake.
- Develop and maintain Databricks catalogs to support streamlined data discovery and governed access.
- Collaborate with data platform engineers, security teams, and analytics stakeholders to ensure compliant and efficient workspace operations.
- Troubleshoot issues related to cloud provisioning, access, and workspace functionality, delivering timely and high‑quality support.
- Contribute to continuous improvement initiatives including automation enhancement, intake optimization, and workspace standardization.
- Document processes, SOPs, access models, and configurations to support operational transparency and repeatability.
- Provide white‑glove support to new and existing users, ensuring strong adoption and high user satisfaction.
- Bachelor’s degree in Information Technology, or a related field. (or commensurate experience)
- 12+ years of experience in cloud tools, Databricks, Data Lake integrations, and workspace provisioning.
- Strong analytical, problem solving, and communication skills
- Azure Administrator and/or AWS Cloud Practitioner certification
- Experience with SQL SErver, Active Directory, Data Lake design, data governance, cloud migration, business intelligence, GitHub, Terraform, ansible and Kubernetes.
- Hands-on experience with Azure or other major cloud platforms.
- Experience with Databricks workspace administration, catalog creation, mount configurations, and cluster setup.
- Familiarity with cloud identity and access management (IAM), including Service Principals, role-based access control (RBAC), and persona‑based configurations.
- Working knowledge of data lake architectures, especially Delta Lake or similar structured storage solutions.
- Experience automating cloud provisioning workflows (e.g., Terraform, ARM, Bicep, PowerShell, Python).
- Background supporting enterprise-scale data modernization or cloud migration initiatives.
- Understanding of intake workflows, user provisioning, or data-access onboarding processes.
- Ability to collaborate with cross-functional engineering and business teams.
- Strong documentation practices and experience building standard operating procedures.
- Experience supporting public sector or healthcare data environments is a plus.
- Ability to obtain and maintain a suitability/Public Trust
See All 581+ Remote Data Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Data Engineer JobsRemote Data Engineer Job Market
Who's Hiring
- Speechify85
- AECOM20
- Providence10
- Olsson9
- Adoreal6
Top Industries Hiring
- Technology & Software48
- Consulting & Professional Services9
- Banking & Financial Services5
- Insurance4
- Staffing & Recruiting4
What Employers Look For
The qualifications that appear most often in remote data engineer jobs.
- Proficiency in SQL and at least one scripting language such as Python or Scala
- Hands-on experience with cloud data platforms like AWS, GCP, or Azure
- Experience building and maintaining ETL or ELT pipelines in production
- Familiarity with orchestration tools such as Apache Airflow or Prefect
- Bachelor's degree in computer science, engineering, or a related technical field
- Experience with columnar or distributed data warehouses such as Snowflake, BigQuery, or Redshift
Tips for Your Remote Data Engineer Job Search
Show async communication skills upfront
Remote data engineering teams run on written communication. Include brief written summaries in your portfolio explaining pipeline decisions, trade-offs, and outcomes. Employers hiring remotely look for candidates who document their thinking without being asked.
Highlight remote-ready tooling in your materials
Call out experience with tools that signal remote readiness for data engineers: dbt, Airflow, Spark, cloud warehouses like BigQuery or Redshift, and version-controlled SQL. Remote teams assume distributed workflows, so familiarity with these tools matters more than office-adjacent skills.
Apply early to remote roles that fit
Migrate Mate lists remote data engineer openings from across the U.S. in one place, so you can find roles that match your stack and apply directly without sorting through mixed results. Remote postings fill faster than on-site roles, so applying early improves your odds.
Build a public project portfolio before applying
Remote hiring managers can't observe you in an office, so a GitHub repository or portfolio site showing real pipeline work does the job instead. Prioritize projects that demonstrate data modeling, orchestration, or transformation work relevant to your target industries.
Remote Data Engineer Jobs: Frequently Asked Questions
How do I get a remote data engineer job?
Target companies with distributed engineering teams or a fully remote culture, since they've built workflows that let data engineers operate independently. Remote employers screen for async written communication, self-directed problem-solving, and hands-on fluency with tools like dbt, Spark, Airflow, and cloud platforms. A public portfolio or GitHub history demonstrating end-to-end pipeline work gives candidates a concrete edge over equally credentialed applicants.
Which companies hire remote data engineers?
Companies hiring remote data engineers right now include Speechify, AECOM, and Providence, based on current remote listings on Migrate Mate as of August 2026. Remote data engineer roles concentrate at remote-first software companies, fintech firms, and healthcare data platforms that rely on distributed engineering teams to build and maintain their data infrastructure.
Can you get a remote data engineer job with no experience?
Yes, but remote entry-level data engineer roles are harder to land because employers expect you to work independently from day one with minimal hand-holding. Remote-first startups and smaller data teams are the most likely to hire entry-level candidates. Demonstrating portfolio projects, open-source contributions, or freelance pipeline work can substitute for formal experience and show you can deliver without in-office oversight.
Do you need a degree for remote data engineer jobs?
Not always. Many remote employers weigh demonstrated skills over formal credentials, especially for data engineers, where portfolio work, certifications in cloud platforms like AWS or GCP, and proficiency with SQL and Python are highly legible signals. A degree helps at larger companies with structured hiring, but remote-first firms regularly hire candidates whose GitHub or project history makes the case on its own.
Which industries hire the most remote data engineers?
Most remote data engineer openings sit in Technology & Software, Consulting & Professional Services, and Banking & Financial Services, per current remote listings on Migrate Mate as of August 2026. These sectors rely heavily on distributed teams that handle large data volumes across multiple time zones, making remote data engineering a natural fit for their operating models.
See All 581+ Remote Data Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Data Engineer Jobs