Remote Data Systems Engineer Jobs

Remote data systems engineer jobs are open across the U.S. in sectors like cloud infrastructure, enterprise software, financial technology, and healthcare technology, where distributed teams depend on engineers to design and maintain large-scale data pipelines and architectures. Companies actively hiring include Olsson, Northbeam, and SAIC, ranging from early-career positions at remote-first technology firms to senior and staff-level roles on established distributed engineering teams. Find a role that fits below and apply directly.

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Overview

Open roles16
Top employerOlsson
Top credentialBachelor's degree in electrical engineering
Companies hiring13

Showing 5 of 16+ Remote Data Systems Engineer jobs

Senior Security Firmware Engineer, Data Center Systems
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Added 5d ago
Senior Security Firmware Engineer, Data Center Systems
NVIDIA
Santa Clara, California
Compliance & Risk
Cybersecurity
Security Engineering
$184k - $288k/yr
Remote (US)
Bachelor's degree in electrical engineering
10,000+

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Systems Engineer - Data & Automation
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Added 1w ago
Systems Engineer - Data & Automation
CACI International
Remote
Software Engineering
Systems Administration
Technical Program Management
$75k - $158k/yr
Remote (US)
10,000+

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Data Engineer (AI-ML Data Systems)
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Added 1w ago
Data Engineer (AI-ML Data Systems)
Pantheon Data
Reston, Virginia
Cloud Engineering
Data Engineering
Data Science
$110k - $190k/yr
Remote (US)
Bachelor's degree in engineering
501-1,000

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Big Data Systems Engineer
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Added 1w ago
Big Data Systems Engineer
Trinzic
Niceville, Florida
Project & Program Management
Project Management
Technical Program Management
$145k - $215k/yr
Remote (US)
Bachelor's degree in statistics
10,000+

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Senior Engineer & Data Architect, Financial Systems
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Added 3w ago
Senior Engineer & Data Architect, Financial Systems
Alignment Health
Orange, California
Cloud Engineering
Data Engineering
Data Science
$130k - $195k/yr
Remote (US)
Managed care
1,001-5,000

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Remote Data Systems Engineer Job Market

Who's Hiring

Olsson3 open roles
Northbeam2 open roles
SAIC1 open role

What Employers Look For

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

  • Bachelor's degree in computer science, information systems, or a related engineering field
  • Proficiency in SQL and at least one scripting language such as Python or Scala
  • Hands-on experience with cloud data platforms such as AWS, Azure, or Google Cloud
  • Experience designing and maintaining ETL or ELT data pipelines at production scale
  • Familiarity with distributed data processing frameworks and workflow orchestration tools
  • Understanding of data modeling principles, schema design, and data warehousing concepts

Tips for Your Remote Data Systems Engineer Job Search

Apply early to remote roles that fit

Migrate Mate lists remote data systems engineer openings from across the U.S. in one place, so you can find roles that match your stack and seniority and apply directly without sorting through unrelated listings.

Show async documentation skills upfront

Remote data systems engineer teams rely on written technical communication for architecture reviews, pipeline decisions, and incident post-mortems. Include links to design docs, runbooks, or technical writeups in your application materials to signal you can operate in a distributed engineering culture.

Build a public portfolio of working pipelines

Remote hiring managers for data systems engineers rarely meet candidates before making decisions. A GitHub repository with real ETL workflows, data modeling work, or infrastructure-as-code projects gives reviewers something concrete to assess before a single call.

Prepare for async-first remote interviews

Many remote data systems engineer interviews include a take-home system design or pipeline architecture exercise rather than a live whiteboard session. Practice explaining your data architecture decisions clearly in writing, since reviewers often evaluate your written reasoning as much as the technical output itself.

Remote Data Systems Engineer Jobs: Frequently Asked Questions

How do I get a remote data systems engineer job?

Remote data systems engineers land roles by demonstrating they can deliver complex, cross-functional data work without in-person oversight. Remote employers screen heavily for proficiency in distributed data platforms like Apache Kafka, Spark, or cloud-native pipeline tools, alongside strong asynchronous written communication. Candidates who document their architecture decisions, contribute to open-source data tooling, or maintain a public portfolio of pipeline projects stand out in fully remote hiring processes.

Which companies hire remote data systems engineers?

Employers currently hiring remote data systems engineers include Olsson, Northbeam, and SAIC, per current remote listings on Migrate Mate as of November 2026. Remote-first technology companies, cloud infrastructure providers, fintech platforms, and distributed healthcare data firms represent the largest share of remote openings for this role.

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

Yes, but remote entry-level data systems engineer roles are harder to land because employers expect you to troubleshoot and self-direct from day one with minimal hand-holding. Smaller remote-first startups and cloud consulting firms are the most likely to hire early-career candidates. Building a portfolio that shows working data pipelines, real ETL workflows, or infrastructure-as-code projects gives hiring managers something concrete to evaluate in place of professional experience.

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

Not always. Many remote employers weigh demonstrated technical ability over formal credentials for data systems engineers, particularly at companies that hire based on skills assessments or take-home projects. Proficiency with tools like dbt, Airflow, Spark, or cloud data platforms such as AWS Glue or Google Dataflow, backed by a portfolio of real work, can substitute for a computer science or engineering degree at a meaningful number of remote-first employers.

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