Remote Data Analytics Engineer Jobs

Remote Data Analytics Engineer jobs are open across the U.S. at remote-first firms, distributed software teams, and data-driven organizations in sectors like finance, healthcare, and technology. Companies actively hiring remotely right now include Humana, ServiceNow, and Triumph Enterprises. See the openings below and apply to the ones that match your experience.

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Overview

Open roles174+
Top employerHumana
Top industryTechnology
Top credentialBachelor's degree in statistics
Companies hiring100+

Showing 5 of 174+ Remote Data Analytics Engineer jobs

Data Analytics Specialist 1
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Added 1d ago
Data Analytics Specialist 1
Commonwealth of Pennsylvania
Harrisburg, Pennsylvania
Data Analytics
Data Science
$69k - $105k/yr
Remote (US)
Bachelor's degree in statistics
10,000+

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Manager, Data Analysis - Provider Performance Analysis
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Manager, Data Analysis - Provider Performance Analysis
Blue Shield of California
Woodland Hills, California
Business Analysis
Data Analytics
Project Management
$112k - $167k/yr
Remote (US)
Master's degree in business administration
5,001-10,000

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Vice President, Data & Analytics
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Vice President, Data & Analytics
Coronis Health LLC
Jackson, Michigan
Business Operations
Project Management
$220k - $290k/yr
Remote (US)
Bachelor's degree in statistics
51-200

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Finance Data & Analytics Manager
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Added 1d ago
Finance Data & Analytics Manager
MAGNETO & DIESEL INJECTOR SERVICE
Humble, Texas
Business Analyst
Data Analytics
Remote (US)
Master's degree in business administration

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Senior Analyst, Hub Data & Analytics
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Added 2d ago
Senior Analyst, Hub Data & Analytics
CenterWell
Remote
Business Analysis
Business Analyst
Finance
$98k - $134k/yr
Remote (US)
Bachelor's degree
1,001-5,000

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See All 174+ Remote Data Analytics Engineer Jobs

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Remote Data Analytics Engineer Job Market

Who's Hiring

  • Humana11
  • ServiceNow8
  • Triumph Enterprises8
  • Tailored Brands3
  • Iterative Health3

Top Industries Hiring

  • Technology & Software
  • Healthcare & Medical Services
  • Retail
  • Education
  • Science & Research

What Employers Look For

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

  • Proficiency in SQL and at least one analytical language such as Python
  • Experience with cloud data warehouses like Snowflake, BigQuery, or Redshift
  • Hands-on experience building and maintaining dbt models in production
  • Familiarity with orchestration tools such as Airflow, Prefect, or Dagster
  • Bachelor's degree in computer science, statistics, engineering, or a related field
  • Ability to translate business questions into dimensional data models and schemas

Tips for Your Remote Data Analytics Engineer Job Search

Build a remote-ready analytics portfolio

Document your data models, transformation logic, and dashboard decisions in writing, not just code. Remote hiring managers assess whether you can communicate analysis asynchronously, so README files, Notion docs, or short written walkthroughs of your work signal remote readiness as clearly as the code itself.

Apply early to remote roles that fit

Migrate Mate lists remote data analytics 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 location listings elsewhere.

Sharpen your async communication skills

Remote data teams depend on written alignment. Practice explaining a data model decision, a pipeline failure, or a metric discrepancy in two clear paragraphs. Employers who interview remotely often send async technical questions first, so your written answers are screened before you reach a live call.

Match your stack to remote team tools

Distributed data teams cluster around specific toolchains: dbt for transformation, Snowflake or BigQuery for warehousing, Looker or Hex for reporting. Review the job description's tech stack before you apply and make sure your resume reflects direct experience with those tools, not just adjacent ones.

Remote Data Analytics Engineer Jobs: Frequently Asked Questions

How do I get a remote data analytics engineer job?

Target companies that already run distributed data teams, such as remote-first SaaS firms and digital-native businesses in fintech, health tech, and e-commerce. Remote employers screen heavily for self-direction, async written communication, and hands-on fluency with tools like dbt, Snowflake, BigQuery, and Looker. A portfolio of documented analyses, clean repos, and examples of presenting findings in writing gives you a clear edge over candidates without remote-ready evidence.

Which companies hire remote data analytics engineers?

Remote data analytics engineer roles are posted by Humana, ServiceNow, and Triumph Enterprises and others right now, based on current remote listings on Migrate Mate as of November 2026. Remote-first technology firms, distributed fintech platforms, and cloud-native healthcare companies make up the largest share of these openings.

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

Yes, but remote entry roles are harder to land because you're expected to work independently from day one without in-office mentorship. Your strongest entry paths are remote internships, open-source data projects, and freelance analytics work you can show as structured deliverables. Remote-first startups and smaller distributed teams are more likely to hire entry-level candidates who demonstrate initiative through documented, shareable work.

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

Not always. Many remote employers weigh demonstrated skills over credentials, especially when a candidate can point to real analytics pipelines, clean data models, or dashboards built with tools like dbt, Spark, or Tableau. A strong portfolio, relevant certifications, and evidence of working with production-scale data often carry more weight than a degree in distributed hiring environments where work output is the primary signal.

Which industries hire the most remote data analytics engineers?

Most remote data analytics engineer openings sit in Technology & Software, Healthcare & Medical Services, and Retail, per current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed data teams to build and maintain analytics infrastructure across geographies, which makes remote hiring a natural fit.

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