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.
Find Data Analytics Engineer JobsLooking for remote work? View remote data analytics engineer jobs →Student or new grad? View data analytics engineer internships →Overview
Showing 5 of 1,301+ Data Analytics Engineer jobs









Work You'll Do
As an Analytics and Insights Engineer III on the Cyber and Strategic Risk team, you will be responsible for:
You will support operational technology (OT) cybersecurity missions by developing and sustaining data products that improve cyber threat detection and response. This role focuses on OT cyber analytics, machine learning model development, and data engineering across on-premises and cloud-connected environments. You will serve as the project's primary data science resource and collaborate with delivery, security operations, cloud, and program stakeholders to advance analytic capabilities. The role is differentiated by its ownership of machine learning development and its contribution to OT cyber analytics innovation.
- Develop and sustain OT cyber data ontologies to support analytics, detection, and reporting use cases
- Build, train, test, and maintain machine learning models for OT cyber threat and attack detection
- Design and maintain data pipelines that move sensor and telemetry data from on-premises environments to cloud platforms
- Analyze cyber data to identify patterns, anomalies, and indicators that support security operations and mission objectives
- Collaborate with technical leads, delivery teams, security operations center stakeholders, cloud/data teams, and program management counterparts to implement scalable analytics solutions
A 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 Enterprise Security offering embeds security in all aspects of digital transformation by securing a client's technical backbone while enabling secure digital transformation. Includes security architecture, secure development and deployment, end-to-end cyber cloud capabilities, application security, and security for emerging technologies and connected products.
Qualifications
Required:
- Bachelor's degree
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
- Active Secret security clearance required
- Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve
- 5+ years of experience with:
- Data Modeling
- JIRA
- Machine Learning
- Python
- SQL
Data Analytics Engineer Jobs by Experience Level
Top Cities Hiring Data Analytics Engineers
Explore data analytics engineer openings in the cities hiring most right now.
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 JobsData Analytics Engineer Job Market
Who's Hiring
- JPMorganChase48

- CVS Health29

- Amazon Web Services22

- Capital One21

- 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