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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INTRODUCTION
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Job Location - Alpharetta GA (Day One Onsite - Hybrid)
ABOUT THE ROLE
- We are seeking a versatile and results driven Data Analytics Engineer to join our team.
- This hybrid role blends the technical depth of data engineering with the strategic insight of business analytics responsible for understanding the business functions developing scalable data solutions analytics and delivering actionable insights to business.
KEY RESPONSIBILITIES
- Collaborate with business stakeholders to define key metrics KPIs and data requirements
- Design build and maintain efficient data pipelines and ETL processes to support analytics and reporting
- Translate complex datasets into clear business oriented insights and recommendations
- Develop and maintain dashboards reports and visualizations
- Ensure data accuracy consistency and governance across platforms
- Conduct deep dive analyses to uncover trends risks and opportunities
- Partner with data scientists product managers and business teams to support strategic initiatives
REQUIRED QUALIFICATIONS
- Bachelors degree in Computer Science Data Engineering Statistics or a related field
- 8 years of experience in data engineering and analytics roles
- Strong proficiency in SQL Analytics tools
- Proven experience in financial services and wealth management domains with expertise in stock plans financial data Crypto and related business processes
- Hands on experience with data warehousing solutions such as Snowflake
- Solid understanding of data modeling architecture and governance principles
- Excellent communication and collaboration skills
PREFERRED SKILLS
- Experience with cloud platforms eg AWS Azure GCP
- Familiarity with Analytics tools such as Dataiku etc
- Prior experience working with Wealth Management team
LIFE AT CAPGEMINI
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
- Flexible work
- Healthcare including dental, vision, mental health, and well-being programs
- Financial well-being programs such as 401(k) and Employee Share Ownership Plan
- Paid time off and paid holidays
- Paid parental leave
- Family building benefits like adoption assistance, surrogacy, and cryopreservation
- Social well-being benefits like subsidized back-up child/elder care and tutoring
- Mentoring, coaching and learning programs
- Employee Resource Groups
- Disaster Relief
DISCLAIMER
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
SALARY TRANSPARENCY
Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $103330 to $128656 /yearly.
This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.
The base compensation range for this role in the posted location is $103330 to $128656.
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
DISCLAIMERS
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
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Find Data Analytics Engineer JobsData Analytics Engineer Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Apple543

- Amazon465

- NVIDIA381

- Tata Consultancy Services (TCS)226

- TikTok188

Top Industries Hiring
- Technology & Software4,849
- Electronics & Hardware983
- Consulting & Professional Services909
- Banking & Financial Services649
- Investment & Asset Management469
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 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 particularly concentrated in companies undergoing cloud data warehouse migrations or scaling self-serve analytics programs.
How many data analytics engineer jobs are remote?
About 28% of data analytics engineer openings are fully remote or hybrid as of June 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 12,171+ Data Analytics Engineer Jobs
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