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 JobsLooking for remote work? View remote analytics engineer jobs →Overview
Showing 5 of 471+ Analytics Engineer jobs











Work You'll Do
As an Analytics and Insights Engineer III you will build core components across the team's projects: FastAPI backend services, LangGraph-based agents, containerized deployments, and Networkit-based network graph generation and visualization are central to the team's current work and are expected to carry over to future builds. You will work across the full stack and support components and projects from agent logic to data connectors to testing.
The successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The Team
Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
Our Forensic, Discovery, & Financial Crime offering provides services to support anti-money laundering, discovery, business disputes and investigations. Protect brands from financial crime and other corporate misconduct, as well as enable government organizations with tradecraft & technology to combat emerging and evolving threats.
Qualifications
Required:
- Bachelor's degree
- 4+ years of progressive experience in software and application development including operating in Agile methodology
- 1+ year of experience contributing to the development of AI Agents or Prompt Engineering
- Active Top Secret security clearance required
- Ability to perform job responsibilities within a work model that requires professionals to co-locate in person 5 days per week in Fairfax, VA.
- Ability to travel 5-25%, on average, based on the work you do and the clients and industries/sectors you serve
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
Preferred:
- Experience with Docker and containerization
- Experience with Python
For individuals assigned and/or hired to work in Arlington, VA, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to Arlington, VA and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.A reasonable estimate of the current range is$124,700 to $207,800.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Analytics Engineer Jobs by Experience Level
Top Cities Hiring Analytics Engineers
Explore analytics engineer openings in the cities hiring most right now.
See All 471+ Analytics Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Analytics Engineer JobsAnalytics Engineer Job Market
Who's Hiring
- Deloitte22

- Amazon18

- Amazon Web Services16

- Apple10

- Netflix6

Top Industries Hiring
- Technology & Software30
- Retail6
- Manufacturing5
- Science & Research5
- Electronics & Hardware5
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 Deloitte, Amazon, and Amazon Web Services, with the largest share of openings in California, New York, and Virginia, based on current listings on Migrate Mate as of September 2026. Demand is concentrated at companies with large self-serve data programs and modern cloud warehouses.
How many analytics engineer jobs are remote?
About 66% of analytics engineer openings are fully remote or hybrid as of September 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 471+ Analytics Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Analytics Engineer Jobs