Finance STEM OPT Jobs in Utah
Finance F-1 STEM OPT sponsorship jobs in Utah are concentrated in Salt Lake City, where firms like Goldman Sachs, Fidelity Investments, and Extra Credit Union have established operations alongside a growing fintech sector. Roles in quantitative analysis, financial modeling, and risk management frequently qualify under STEM OPT's 24-month extension for eligible degree holders.
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This position is responsible for aiding operational areas of the organization leveraging both internal and external data assets to achieve business insights, gain deeper understanding of member needs, and enhance tactical and strategic decision making. The Data Engineer position will support the architecture and systems that support data movement within the organization in both Linux and Windows environments, including managing the software that runs in those environments.
Responsibilities
- Independently install, patch, upgrade, and administer software systems that support data pipelines. This includes ETL platforms (Airflow, SSIS), data quality platforms (Great Expectations), distributed data processing systems (Hopsworks, Polar), and streaming platforms (Kafka, RabbitMQ).
- Develop data pipelines to support operational implementation of Data Science and analytical models.
- Ensure all security, documentation, governance, and compliance standards are met.
- Manage small reporting layer on top of analytical models to ensure accountability and insight into models’ performance and impact.
- Perform DevOps and orchestration around supporting data marts and analytical processes.
- Engineer each solution with appropriate kinds of technology, with optimized performance.
- Execute analytics solution engineering strategy, requirements, and adapt processes as needed.
- Monitor and secure usage of data while tracking platform product performance.
- Advise and collaborate in internal partnerships to deliver accurate, available, and accessible API services.
- Identify potential concerns based on projections of current trends.
- Contribute to Credit Union culture by keeping a positive attitude and growing relationships.
QUALIFICATIONS
Education:
- Bachelor of Science degree in information technology, computer science, statistics, or related business degree with equivalent experience of up to 3 years.
- Master of Science in information technology, computer science, statistics, or related degree.
Experience:
- 2 to 4 years of experience in designing, developing and implementing Data solutions.
- Must have advanced SQL abilities, experience with both Oracle and Microsoft desired.
- Must have advanced programming experience with Python.
- Must have experience with Linux.
- Experience with a variety of ETL tools is desired, Airflow, SSIS, Informatica, dbt, etc.
- Experience with Anaconda; Kafka; RabbitMQ; Jupyter Notebook; Tableau desired.
- Experience developing business analytical solutions in large or midsize companies.
- Must be able to manage multiple tasks simultaneously and react to problems quickly.
- Understanding of the financial services industry desired.
- Experience with dashboard design and delivery desired.
- Must be able to translate concepts and directions into practical solutions.
- Must have development experience with various data management technology; NoSQL; relational database; message broker; multi-dimensional database; and design architecture.
- Understand data collection, streaming, preparation, analysis, visualization, modeling, algorithm integration, evaluation, optimization within an implementation context.
INTRODUCTION
This position is responsible for aiding operational areas of the organization leveraging both internal and external data assets to achieve business insights, gain deeper understanding of member needs, and enhance tactical and strategic decision making. The Data Engineer position will support the architecture and systems that support data movement within the organization in both Linux and Windows environments, including managing the software that runs in those environments.
Responsibilities
- Independently install, patch, upgrade, and administer software systems that support data pipelines. This includes ETL platforms (Airflow, SSIS), data quality platforms (Great Expectations), distributed data processing systems (Hopsworks, Polar), and streaming platforms (Kafka, RabbitMQ).
- Develop data pipelines to support operational implementation of Data Science and analytical models.
- Ensure all security, documentation, governance, and compliance standards are met.
- Manage small reporting layer on top of analytical models to ensure accountability and insight into models’ performance and impact.
- Perform DevOps and orchestration around supporting data marts and analytical processes.
- Engineer each solution with appropriate kinds of technology, with optimized performance.
- Execute analytics solution engineering strategy, requirements, and adapt processes as needed.
- Monitor and secure usage of data while tracking platform product performance.
- Advise and collaborate in internal partnerships to deliver accurate, available, and accessible API services.
- Identify potential concerns based on projections of current trends.
- Contribute to Credit Union culture by keeping a positive attitude and growing relationships.
QUALIFICATIONS
Education:
- Bachelor of Science degree in information technology, computer science, statistics, or related business degree with equivalent experience of up to 3 years.
- Master of Science in information technology, computer science, statistics, or related degree.
Experience:
- 2 to 4 years of experience in designing, developing and implementing Data solutions.
- Must have advanced SQL abilities, experience with both Oracle and Microsoft desired.
- Must have advanced programming experience with Python.
- Must have experience with Linux.
- Experience with a variety of ETL tools is desired, Airflow, SSIS, Informatica, dbt, etc.
- Experience with Anaconda; Kafka; RabbitMQ; Jupyter Notebook; Tableau desired.
- Experience developing business analytical solutions in large or midsize companies.
- Must be able to manage multiple tasks simultaneously and react to problems quickly.
- Understanding of the financial services industry desired.
- Experience with dashboard design and delivery desired.
- Must be able to translate concepts and directions into practical solutions.
- Must have development experience with various data management technology; NoSQL; relational database; message broker; multi-dimensional database; and design architecture.
- Understand data collection, streaming, preparation, analysis, visualization, modeling, algorithm integration, evaluation, optimization within an implementation context.
STEM OPT Finance Job Roles in Utah
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Search Finance Jobs in UtahFinance STEM OPT Sponsorship Jobs in Utah: Frequently Asked Questions
Which finance companies in Utah sponsor F-1 STEM OPT visas?
Utah-based and nationally headquartered firms with Salt Lake City operations have filed Labor Condition Applications for finance roles that align with STEM OPT eligibility, including Goldman Sachs, Fidelity Investments, and several regional banks and fintech startups. Employers in Utah's growing fintech corridor are also increasingly familiar with F-1 STEM OPT authorization requirements, though sponsorship willingness varies by employer and role.
Which cities in Utah have the most finance F-1 STEM OPT sponsorship jobs?
Salt Lake City holds the largest concentration of finance sponsorship roles in Utah, anchored by its financial services district and proximity to the University of Utah and Westminster University. Provo and Sandy also have finance employers with sponsorship history, particularly in fintech and insurance analytics, while Lehi's tech-adjacent companies sometimes post quantitative finance positions eligible under STEM OPT.
What types of finance roles typically qualify for F-1 STEM OPT sponsorship?
Roles that qualify for STEM OPT must tie to a STEM-designated degree such as finance, financial mathematics, or econometrics. In practice, positions like quantitative analyst, financial data scientist, risk analyst, actuarial analyst, and algorithmic trading associate commonly meet this standard. General relationship manager or retail banking roles are less likely to qualify unless the employer can demonstrate a direct connection to a STEM field.
How do I find finance F-1 STEM OPT sponsorship jobs in Utah?
Migrate Mate filters finance job listings in Utah by visa type, so you can search specifically for employers with verified F-1 STEM OPT sponsorship history rather than guessing from generic postings. You can narrow results by city and role type, such as quantitative analyst or risk management positions in Salt Lake City, to match openings to your degree's STEM designation and OPT authorization period.
Are there state-specific considerations for F-1 STEM OPT finance jobs in Utah?
Utah does not impose state-level visa sponsorship requirements beyond federal F-1 STEM OPT rules, but employers must be enrolled in E-Verify to hire STEM OPT students, as USCIS mandates E-Verify participation for all STEM OPT extensions. Utah's finance sector also includes a notable credit union and insurance industry presence, which can offer STEM-eligible roles in actuarial science and financial analytics alongside more traditional banking and investment positions.