Analytics Engineer Jobs

Analytics Engineer jobs are open across fintech, e-commerce, healthcare, and tech platforms, at every level from new-grad to staff and principal, with specializations in data modeling, dbt workflows, and data warehouse architecture. Find a role that fits from the openings below and apply directly.

Find Analytics Engineer Jobs

Overview

Open roles12,213+
Top stateCalifornia
Top employerApple
Top cityNew York, NY
Work type72% On-site
Top industryTechnology

Showing 5 of 12,213+ Analytics Engineer jobs

BetterUp
Senior Analytics Engineer
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BetterUp
New 40m ago
Senior Analytics Engineer
BetterUp
New York
Data Science & Analytics
Data Engineering
Data Science
Data Analytics
$158k - $220k/yr
Hybrid
None

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HP
UX Automation and Analytics Engineer
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HP
New 3h ago
UX Automation and Analytics Engineer
HP
Austin, Texas
Software Engineering
Quality Assurance & Testing (QA Testing)
Backend Engineering
Full-stack Engineering
$83k - $128k/yr
On-Site
Bachelor's
10,000+

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Twilio
Staff, Analytics Engineer
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Twilio
New 3h ago
Staff, Analytics Engineer
Twilio
Austin, Texas
Data Science & Analytics
Business Analysis
Data Science
Data Analytics
Revenue Operations & Enablement
$156k - $229k/yr
Remote (US)
None
5,001-10,000

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Delta Faucet Company
Analytics Engineer
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Delta Faucet Company
Added 1d ago
Analytics Engineer
Delta Faucet Company
Indianapolis, Indiana
Data Science & Analytics
Data Engineering
Data Science
Data Analytics
$89k - $139k/yr
On-Site
Bachelor's
1,001-5,000

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Capgemini
Data Analytics Engineer
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Capgemini
Added 1d ago
Data Analytics Engineer
Capgemini
Atlanta, Georgia
Data Science & Analytics
Business Analysis
Data Science
Data Analytics
$103k - $129k/yr
Hybrid
Bachelor's
10,000+

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Analytics Engineer Job Market

A snapshot from current openings nationwide, updated as new roles post.

Who's Hiring

  • Apple
    Apple543
  • Amazon
    Amazon465
  • NVIDIA
    NVIDIA381
  • Tata Consultancy Services (TCS)
    Tata Consultancy Services (TCS)226
  • TikTok
    TikTok188

Top Industries Hiring

  • Technology & Software4,866
  • Electronics & Hardware982
  • Consulting & Professional Services924
  • Banking & Financial Services649
  • Investment & Asset Management469

What Employers Look For

The qualifications that appear most often in analytics engineer jobs.

  • Proficiency in SQL and experience writing complex analytical queries
  • Hands-on experience with dbt for data modeling and transformation
  • Experience with a cloud data warehouse such as Snowflake, BigQuery, or Redshift
  • Ability to work with data pipelines and orchestration tools like Airflow or Dagster
  • Bachelor's degree in computer science, statistics, mathematics, or a related field
  • Experience collaborating with data analysts and data engineers on cross-functional projects

Tips for Your Analytics Engineer Job Search

Show dbt and SQL project work

Hiring managers expect to see your data models, not just your job titles. Link to a public GitHub repo with dbt projects, documented schemas, or transformation logic you've built. Portfolios that show modeling decisions beat resumes that only list tools.

Tailor your resume to the data stack

Analytics engineer postings vary sharply by stack. Read each job description for the specific warehouse (Snowflake, BigQuery, Redshift) and orchestration tool (Airflow, Dagster) and mirror that language exactly in your resume's skills and project bullets.

Filter openings by data maturity stage

Early-stage companies need you to build pipelines from scratch. Mature data orgs need you to refactor legacy models. Knowing which environment you want before you apply saves time and helps you ask sharper questions during screening calls.

Apply early to roles that fit

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

Prepare for a take-home modeling exercise

Many analytics engineer interviews include a take-home where you model a raw dataset in dbt. Practice writing staging, intermediate, and mart layer models on public datasets so you can deliver clean, documented work under a time constraint.

Negotiate using scope, not just title

Analytics engineer leveling varies widely across companies. When negotiating, ask about data team size, model ownership, and roadmap influence. These factors define your actual role more than the title does, and clarifying them gives you real leverage.

Analytics Engineer Jobs: Frequently Asked Questions

Which companies are hiring the most analytics engineers?

The companies hiring the most analytics engineers right now include Apple, Amazon, and NVIDIA, with the largest share of openings in California, New York, and Texas, based on current listings on Migrate Mate as of June 2026. Demand is concentrated at companies with large self-serve data programs and modern cloud warehouses.

How many analytics engineer jobs are remote?

About 28% of analytics engineer openings are fully remote or hybrid as of June 2026, making it one of the more remote-accessible technical roles. Data modeling and dbt-heavy work tends to be the most remote-friendly sub-area, while roles that require close collaboration with embedded business teams more often require on-site presence.

How do you become an analytics engineer?

Start by building strong SQL skills and learning dbt on a public dataset you can share. Get comfortable with one cloud data warehouse, then practice modeling raw data into clean, documented layers. Build a portfolio project that shows staging, intermediate, and mart models. Apply to junior or data analyst roles at companies with modern data stacks to get your first hands-on production experience.

How do you get hired as an analytics engineer with little experience?

Focus on demonstrating modeling judgment rather than years on the job. Build a dbt project on an open dataset, document your decisions in a README, and publish it publicly. Highlight any SQL work from analyst or engineering roles. Many teams hire candidates with strong SQL and analytical foundations and train them on the specific stack, so framing your background around data thinking helps.

What does the analytics engineer interview process look like?

The process typically starts with a recruiter screen focused on your background and the data stack you've used. A technical phone screen follows, often involving live SQL or a short modeling question. Most companies then assign a take-home exercise where you model a raw dataset in dbt. Final rounds include a technical deep-dive with the data team and a cross-functional conversation with stakeholders or analysts you'd support.

Where can I find and apply to analytics engineer jobs?

You can find and apply to analytics engineer jobs on Migrate Mate, which lists current openings from across the United States. Find roles that fit your experience, stack, and preferred work arrangement, then apply directly to each listing.

See All 12,213+ Analytics Engineer Jobs

Jump back to the full list of openings and apply to any analytics engineer role that fits.

Find Analytics Engineer Jobs