Data Analytics Engineer Jobs

Data Analytics Engineer jobs are open across tech, finance, healthcare, and retail, from junior to staff and principal level, with specializations in data modeling, pipeline architecture, and analytics infrastructure. Find a role that fits from the openings below and apply directly.

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Overview

Open roles1,301+
Top stateCalifornia
Top employerJPMorganChase
Top cityLos Angeles, CA
Work type39% On-site
Top industryTechnology

Showing 5 of 1,301+ Data Analytics Engineer jobs

Deloitte
Cyber Data Scientist, Analytics and Insights
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Deloitte
Added 1d ago
Cyber Data Scientist, Analytics and Insights
Deloitte
Huntsville, Alabama
Customer Service & Support
Customer Support
Technical Program Management
Bachelor's degree
10,000+

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Meta
Data Engineer, Product Analytics
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Meta
Added 1d ago
Data Engineer, Product Analytics
Meta
Remote
Business Analysis
Compliance & Risk
Data Analytics
$177k - $247k/yr
Master's degree
10,000+

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N
Specialist, Data Analytics
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N
Added 1d ago
Specialist, Data Analytics
National Association Of Community Health Centers Inc
Bethesda, Maryland
Consulting & Professional Services
Solutions Engineering & Architecture
Technical Product & Program Management
$63k - $75k/yr
Hybrid
Master's degree in epidemiology

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Starbucks
director, data science- Coffeehouse Analytics (Nashville, TN)
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Starbucks
Added 1d ago
director, data science- Coffeehouse Analytics (Nashville, TN)
Starbucks
Nashville, Tennessee
Business Strategy
Data Analytics
Data Science
$160k - $279k/yr
10,000+

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Credit One Bank
AVP I, Data Systems and Analytics
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Credit One Bank
Added 2d ago
AVP I, Data Systems and Analytics
Credit One Bank
Las Vegas, Nevada
Program Management
Project & Program Management
Project Management
AWS Certification
501-1,000

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Data Analytics Engineer Job Market

Who's Hiring

  • JPMorganChase
    JPMorganChase48
  • CVS Health
    CVS Health29
  • Amazon Web Services
    Amazon Web Services22
  • Capital One
    Capital One21
  • I
    Information Technology Senior Management Forum20

Top Industries Hiring

  • Technology & Software66
  • Consulting & Professional Services29
  • Education22
  • Banking & Financial Services22
  • Manufacturing20

What Employers Look For

The qualifications that appear most often in 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 Data Analytics Engineer Job Search

Tailor your resume to the stack

Job listings for data analytics engineers almost always name a specific stack: dbt, Snowflake, BigQuery, Spark. Mirror the exact tool names from each posting in your resume's skills and experience sections so your application clears automated screening.

Show work in your portfolio

Hiring teams want to see how you build. Link a GitHub repo with a real dbt project or a documented pipeline you've designed. Describing what you built in bullet points alone won't set you apart the way working code does.

Target roles by data maturity stage

A startup's data analytics engineer role often means building the warehouse from scratch, while a large enterprise role means maintaining and optimizing one that already exists. Read the job description for clues about which stage you're walking into before you apply.

Apply early to roles that fit

Migrate Mate lists data analytics engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.

Prep for a technical take-home

Most data analytics engineer interviews include a take-home that tests SQL transformation logic, data modeling decisions, or pipeline design. Practice writing clean, documented dbt models and be ready to walk through your architectural choices out loud.

Negotiate scope not just salary

When you reach the offer stage, ask about the size of the data team, ownership of the roadmap, and how decisions about tooling get made. These factors shape whether you'll grow in the role far more than the initial title will.

Data Analytics Engineer Jobs: Frequently Asked Questions

Which companies are hiring the most data analytics engineers?

The companies hiring the most data analytics engineers right now include JPMorganChase, CVS Health, and Amazon Web Services, with the largest share of openings in California, New York, and Texas, based on current listings on Migrate Mate as of August 2026. Demand is particularly concentrated in companies undergoing cloud data warehouse migrations or scaling self-serve analytics programs.

How many data analytics engineer jobs are remote?

About 61% of data analytics engineer openings are fully remote or hybrid as of August 2026, making it one of the more location-flexible roles in the data field. Fully remote options are most common in pipeline engineering and data modeling work, where collaboration happens asynchronously through code review and documentation rather than in-person sessions.

How do you become a data analytics engineer?

Start by building strong SQL skills and learning a transformation framework like dbt, since those appear in nearly every job posting. Then get hands-on experience with a cloud warehouse by building a personal project using a free tier. Add Python for scripting and automation, learn the basics of a pipeline orchestration tool, and document everything in a public GitHub repo that hiring managers can review.

Can you get a data analytics engineer job with little experience?

Yes, but you'll need to close the experience gap with demonstrable project work. Build end-to-end pipelines in a personal or open-source project using the tools employers actually hire for, such as dbt and Snowflake. Roles titled junior analytics engineer or analytics engineer at smaller companies are your most realistic entry point, since they often expect candidates to grow into the full stack on the job.

What does the data analytics engineer interview process look like?

Most hiring processes start with a recruiter screen, move to a technical phone interview focused on SQL and data modeling concepts, and then include a take-home or live coding exercise where you build or critique a dbt model or pipeline design. A final round typically involves a system design discussion where you walk through how you'd architect an analytics solution, followed by a culture or cross-functional fit conversation with stakeholders.

Where can I find and apply to data analytics engineer jobs?

You can find and apply to data analytics engineer jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your experience and specialization, then apply directly to each listing. No detours or redirects, just a straightforward application to the roles that fit.

See All 1,301+ Data Analytics Engineer Jobs

Find roles that match your experience and apply in just a few clicks.

Find Data Analytics Engineer Jobs