STEM OPT Analytics Engineer Jobs
Analytics Engineer roles sit squarely within STEM OPT eligibility, letting you extend your F-1 work authorization by 24 months beyond your initial OPT period. Your employer must be enrolled in E-Verify, and your degree in computer science, statistics, mathematics, or a related STEM field must align with the role's CIP code.
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Get Access To All JobsINTRODUCTION
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.
ROLE AND RESPONSIBILITIES
As an Analytics Data Engineer within the Finance team, you will be a key player in shaping our data ecosystem. You will design, build, and maintain scalable data pipelines that transform raw data into a reliable and trustworthy source of truth for the Finance organization and beyond. You will be the primary liaison between the Finance and the Data Engineering teams. You will use your domain knowledge of finance to understand their data requirements, translate them into technical specifications, and then build the necessary data infrastructure. Your work will directly impact financial planning, forecasting, and strategic decision-making across the company.
You Are
- A Data Expert: You have a deep understanding of data warehousing, ETL/ELT principles, and data modeling best practices. You can design and implement robust and scalable data pipelines.
- A Problem-Solver: You are passionate about using data to solve complex business problems. You can break down ambiguous requirements into clear, actionable data engineering tasks.
- Collaborative: You enjoy working with diverse teams and can effectively communicate complex technical concepts to both technical and non-technical stakeholders.
- Detail-Oriented: You have a high bar for data quality and integrity. You take pride in building accurate and reliable data products and you are comfortable owning full quality from end to end.
- Curious and AI-forward: You are excited by the potential of LLMs, prompt engineering, and the rapidly changing world of AI tooling. You go beyond just using tools like Claude/Claude Code or Cursor—you've experimented with them and are keen to build and integrate entire systems around them.
You Will
- Design, develop, and maintain robust data pipelines using Python and Apache Airflow to process large volumes of data from various sources (e.g., internal databases, third-party APIs, and external systems).
- Be the subject matter expert on our Redshift data warehouse, optimizing queries and tables, and ensuring data integrity.
- Build and maintain data models that provide a single source of truth for key business metrics and KPIs.
- Co-develop and implement data quality checks and monitoring with finance business process owners to ensure the accuracy and reliability of our data.
- Document data pipelines, data models, and business logic to ensure maintainability and transparency.
- Collaborate with Finance stakeholders to understand their data needs and translate them into scalable data solutions.
- Partner with Finance and Data teams to create the AI Business Context layer for financial applications, converting accounting principles, metric definitions, and business logic into structured, AI-interpretable formats.
- Build tools that provide natural language access to financial data, automated anomaly detection and AI-assisted reporting, enabling Finance stakeholders to independently discover insights.
BASIC QUALIFICATIONS
- A Bachelor's degree in Computer Science, Engineering, or a related quantitative field.
- 4+ years of experience in a data-focused role, with a strong emphasis on data engineering, business intelligence, or a similar analytics function.
- Proven experience in designing, building, and maintaining production-level data pipelines.
- Demonstrable experience working directly with finance or business operations teams to deliver data solutions.
- Expertise in SQL and experience with a modern data warehouse, preferably Redshift.
- Strong programming skills in Python.
- An interest in learning core financial modeling concepts to understand data use-cases.
COMPENSATION
For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.
- Annual Salary Range: $185,860—$221,380 USD
Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.
For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
INTRODUCTION
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.
ROLE AND RESPONSIBILITIES
As an Analytics Data Engineer within the Finance team, you will be a key player in shaping our data ecosystem. You will design, build, and maintain scalable data pipelines that transform raw data into a reliable and trustworthy source of truth for the Finance organization and beyond. You will be the primary liaison between the Finance and the Data Engineering teams. You will use your domain knowledge of finance to understand their data requirements, translate them into technical specifications, and then build the necessary data infrastructure. Your work will directly impact financial planning, forecasting, and strategic decision-making across the company.
You Are
- A Data Expert: You have a deep understanding of data warehousing, ETL/ELT principles, and data modeling best practices. You can design and implement robust and scalable data pipelines.
- A Problem-Solver: You are passionate about using data to solve complex business problems. You can break down ambiguous requirements into clear, actionable data engineering tasks.
- Collaborative: You enjoy working with diverse teams and can effectively communicate complex technical concepts to both technical and non-technical stakeholders.
- Detail-Oriented: You have a high bar for data quality and integrity. You take pride in building accurate and reliable data products and you are comfortable owning full quality from end to end.
- Curious and AI-forward: You are excited by the potential of LLMs, prompt engineering, and the rapidly changing world of AI tooling. You go beyond just using tools like Claude/Claude Code or Cursor—you've experimented with them and are keen to build and integrate entire systems around them.
You Will
- Design, develop, and maintain robust data pipelines using Python and Apache Airflow to process large volumes of data from various sources (e.g., internal databases, third-party APIs, and external systems).
- Be the subject matter expert on our Redshift data warehouse, optimizing queries and tables, and ensuring data integrity.
- Build and maintain data models that provide a single source of truth for key business metrics and KPIs.
- Co-develop and implement data quality checks and monitoring with finance business process owners to ensure the accuracy and reliability of our data.
- Document data pipelines, data models, and business logic to ensure maintainability and transparency.
- Collaborate with Finance stakeholders to understand their data needs and translate them into scalable data solutions.
- Partner with Finance and Data teams to create the AI Business Context layer for financial applications, converting accounting principles, metric definitions, and business logic into structured, AI-interpretable formats.
- Build tools that provide natural language access to financial data, automated anomaly detection and AI-assisted reporting, enabling Finance stakeholders to independently discover insights.
BASIC QUALIFICATIONS
- A Bachelor's degree in Computer Science, Engineering, or a related quantitative field.
- 4+ years of experience in a data-focused role, with a strong emphasis on data engineering, business intelligence, or a similar analytics function.
- Proven experience in designing, building, and maintaining production-level data pipelines.
- Demonstrable experience working directly with finance or business operations teams to deliver data solutions.
- Expertise in SQL and experience with a modern data warehouse, preferably Redshift.
- Strong programming skills in Python.
- An interest in learning core financial modeling concepts to understand data use-cases.
COMPENSATION
For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.
- Annual Salary Range: $185,860—$221,380 USD
Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.
For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
See all 2,995+ STEM OPT Analytics Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Analytics Engineer Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as an Analytics Engineer
Verify your CIP code before applying
Pull your degree's Classification of Instructional Programs code from your transcript or DSO and cross-reference it against STEM-designated program lists. Analytics Engineer roles typically align with CIP codes in computer science, mathematics, or information science fields.
Filter job listings by E-Verify status
Before submitting any application, confirm the employer is enrolled in E-Verify through the official E-Verify employer search. Employers who haven't enrolled can't legally employ you on a STEM OPT extension, no matter how willing they are to hire.
Frame your data stack in the resume
Analytics Engineer roles are highly technical. Listing specific tools like dbt, Airflow, or Snowflake signals that you can contribute without a long ramp-up, which directly addresses employer hesitation around the I-983 training plan timeline.
Use Migrate Mate to target employers with STEM OPT history
Search Analytics Engineer openings on Migrate Mate, which surfaces employers with verified STEM OPT and E-Verify enrollment history. That narrows your list to companies that have already cleared the compliance requirements you need.
Submit your I-983 training plan before your OPT end date
Your DSO must receive a complete I-983 outlining your Analytics Engineer responsibilities, learning objectives, and supervision structure. USCIS requires this before your 24-month STEM extension can be authorized, so don't wait until after the offer is signed.
Check whether cap-gap coverage applies if H-1B is filed
If your employer files an H-1B visa petition before your OPT expires, cap-gap rules may automatically extend your work authorization through September 30. Confirm the exact dates with your DSO and track your receipt notice from USCIS closely.
Frequently Asked Questions
Does an Analytics Engineer role qualify for the STEM OPT extension?
Yes, if your degree is in a STEM-designated field such as computer science, statistics, mathematics, or information systems, and the Analytics Engineer role requires that technical background. Your DSO will verify the CIP code match. The role must also involve applying that STEM knowledge directly, not just adjacent business functions. O*NET classifies Analytics Engineer work under data and computer science occupations, which consistently align with STEM OPT eligibility.
What does the employer need to do to hire me on STEM OPT?
The employer must be enrolled in E-Verify before your STEM OPT extension begins. They also need to sign your I-983 training plan, which outlines your role, the skills you'll develop, your compensation, and how your supervisor will oversee your work. USCIS requires that the training plan reflect a genuine mentorship or development structure tied to your STEM degree, not just a standard employment description.
How do I find Analytics Engineer employers enrolled in E-Verify?
You can search the E-Verify employer database directly to confirm enrollment before applying. Migrate Mate also filters Analytics Engineer listings by employers with verified E-Verify enrollment and STEM OPT hiring history, which cuts down the research time significantly. Targeting companies with that track record reduces the risk of an offer falling through because of compliance gaps discovered after the process has already started.
What goes into the I-983 training plan for an Analytics Engineer?
The I-983 must describe your specific Analytics Engineer responsibilities, the STEM skills you'll build during the extension period, your salary and hours, your supervisor's qualifications, and how the employer will evaluate your progress. USCIS expects the plan to demonstrate a direct connection between the work and your STEM degree field. Vague job descriptions that could apply to any data role are a common reason DSOs request revisions before signing.
Can I stay and work if my H-1B petition is filed before my STEM OPT expires?
Yes. If your employer files a timely and properly selected H-1B petition before your STEM OPT authorization ends, cap-gap provisions under USCIS rules extend your work authorization automatically through September 30 of that fiscal year. Your EAD may show an earlier expiration date, but the cap-gap extension is what legally covers you. Carry your H-1B receipt notice and your expired EAD together as documentation during that period.