Remote Data Operations Engineer Jobs

Remote Data Operations Engineer jobs are in active demand across the U.S., with remote-first firms and distributed engineering teams hiring for pipeline management, data quality, and infrastructure roles in sectors like technology, financial services, and healthcare. Employers hiring remotely right now include JLL, Upgrade, and limetree. Find a role that fits below and apply directly.

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Overview

Open roles8
Top employerJLL
Top credentialMaster's degree
Companies hiring8

Showing 5 of 8+ Remote Data Operations Engineer jobs

Lead Data Security Operations Engineer
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Added 3d ago
Lead Data Security Operations Engineer
JLL
Chicago, Illinois
Customer Support
Solutions Engineering & Architecture
Technical Product & Program Management
$205k - $233k/yr
Remote (US)
Master's degree
10,000+

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Data Engineer Client Data Operations
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Added 1w ago
Data Engineer Client Data Operations
limetree
Remote
Cloud Engineering
Data Engineering
Data Science
$115k - $145k/yr
Remote (US)

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Vice President Sales — Data Ops
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Added 1mo ago
Vice President Sales — Data Ops
Bill Gosling Outsourcing
Hampton, Virginia
Business Operations
Program Management
Project & Program Management
Project Management
$200k - $250k/yr
Remote (US)
1,001-5,000

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Data Analyst II (Ops Analytics Focus)
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Added 1mo ago
Data Analyst II (Ops Analytics Focus)
Upgrade
Phoenix, Arizona
Data Analytics
IT Support
Project Management
$85k - $115k/yr
Remote (US)
Bachelor's degree in statistics
1,001-5,000

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Senior Data Operations Engineer
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Added 1mo ago
Senior Data Operations Engineer
Anvilogic
Palo Alto, California
Cloud Engineering
Data Engineering
Data Science
$155k - $190k/yr
Remote (US)

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Remote Data Operations Engineer Job Market

Who's Hiring

JLL1 open role
Upgrade1 open role
limetree1 open role

What Employers Look For

The qualifications that appear most often in remote data operations engineer jobs.

  • Proficiency with workflow orchestration tools such as Apache Airflow or Prefect
  • Experience building and maintaining data pipelines using Python or SQL
  • Hands-on work with cloud data warehouses like Snowflake, BigQuery, or Redshift
  • Familiarity with containerization and infrastructure tools including Docker and Kubernetes
  • Understanding of data quality monitoring, alerting, and observability practices
  • Bachelor's degree in computer science, data engineering, or a related technical field

Tips for Your Remote Data Operations Engineer Job Search

Apply early to remote roles that fit

Migrate Mate lists remote data operations engineer openings from across the U.S. in one place, so you can find roles that match your stack and apply directly without sifting through location-filtered results on multiple sites.

Show async communication skills upfront

Remote data operations teams rely on written handoffs, documented runbooks, and clear Slack or Jira updates. Rewrite your resume's bullet points to emphasize documentation you've owned, incident write-ups you've authored, or async processes you've improved.

Build a public pipeline portfolio

Remote hiring managers can't watch you work, so give them something concrete. Publish an end-to-end data pipeline on GitHub using tools like Airflow, dbt, or Prefect, with a README that explains design decisions and trade-offs you made.

Target remote-first companies by tech stack

Filter your search by the tools you know best, such as Snowflake, BigQuery, or Databricks. Remote-first firms list their stacks in job postings, and matching your experience to their exact environment shortens the screening process significantly.

Remote Data Operations Engineer Jobs: Frequently Asked Questions

How do I get a remote data operations engineer job?

Target companies built around distributed teams, such as cloud-native software firms, data-as-a-service providers, and remote-first tech companies, since they have the infrastructure and culture to onboard data operations engineers without an office. Remote employers screen heavily for async written communication, self-directed troubleshooting, and hands-on fluency with tools like dbt, Airflow, and cloud data platforms. A portfolio of documented pipelines or data quality frameworks gives you a concrete edge over candidates who list skills without evidence.

Which companies hire remote data operations engineers?

Employers currently hiring remote data operations engineers include JLL, Upgrade, and limetree, per current remote listings on Migrate Mate as of November 2026. Remote-first software companies, distributed fintech teams, and cloud-platform providers make up the bulk of remote openings for this role.

Can you get a remote data operations engineer job with no experience?

Yes, but remote entry-level roles are harder to land because you're expected to work independently from day one without on-site mentorship. Focus on companies with structured remote onboarding, such as larger SaaS firms or data consultancies with documented processes. Build public proof of work: a GitHub repo with pipeline scripts, a documented ETL project, or a contribution to an open-source data tool signals to remote hiring managers that you can deliver without hand-holding.

Do you need a degree for remote data operations engineer jobs?

Not always. Many remote employers care more about demonstrated ability with data tooling, SQL, and pipeline orchestration than a specific credential. A relevant degree in computer science, information systems, or engineering helps, but remote hiring managers often weigh a strong project portfolio, cloud certifications, and verifiable work samples just as heavily when evaluating candidates for data operations roles.

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