Data Manager Visa Sponsorship Jobs in Utah
Data manager roles in Utah are concentrated in Salt Lake City and Provo, where employers like Adobe, Qualtrics, and the University of Utah regularly hire for data-focused positions. The state's growing tech sector and strong university pipeline make it an active market for international candidates seeking visa sponsorship in data management.
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Get Access To All JobsAt Neighbor, we’re building the largest hyperlocal marketplace the world has ever seen. We’ve raised over $75 million from top-tier investors such as Andreessen Horowitz and the CEOs of DoorDash, StockX, and Uber. Our marketplace is already flourishing in all 50 states and we’re just getting started!
As a Software Engineer, Data, you will be the core engineer responsible for building, scaling, and optimizing the data infrastructure that transforms raw events into high-fidelity, actionable intelligence. You will pioneer a foundation of engineering excellence, enabling the entire organization to make reliable, data-driven decisions at scale across all 50 states.
You'll join our data & analytics team as its first dedicated data engineer, working alongside data analysts and data scientists. You'll own the pipelines and transformation layer that power analytics at Neighbor: ingesting data from production databases, APIs, and event streams, and serving it through our semantic layer and BI tools. You'll be the engineering backbone of a small, high-leverage data team.
Our stack: dbt and Dagster on Redshift and Athena, with Superset for BI.
Primary Responsibilities
- Design and build robust pipelines to ingest data from diverse sources (APIs, logs, relational DBs).
- Ensure the reliable and timely execution of all critical data pipelines (ETLs/ELTs) to maintain data integrity and freshness.
- Standardize analytics workflows by integrating software engineering best practices, including version control, CI/CD pipelines, and automated data validation protocols.
- Develop and refine a robust semantic layer to facilitate self-service analytics, enabling stakeholders to derive insights without exposure to underlying architectural complexities.
- Monitor and optimize cloud compute utilization and data model performance to ensure high availability and low-latency reporting during periods of rapid data scaling.
- Serve as a strategic technical partner to leadership across Product, Engineering, Marketing, and Finance to align data infrastructure with organizational objectives.
- Become a subject matter expert on the product ecosystem, user behavior, and marketing life cycles to better translate raw data into business value.
- Go deep on analysis yourself when the question demands it, you're comfortable in both the pipeline and the insight.
- Mentor our data analysts and data scientists on engineering best practices (code review, testing, version control, pipeline design), raising the technical bar across the team.
Qualifications
- 5+ years as software engineer including 3+ years with an emphasis in data engineering or analytics engineering.
- Bachelor's degree in quantitative and/or technical fields (Math, Physics, Statistics, Economics, Computer Science, Engineering, etc.) or equivalent practical experience.
- Expert-level mastery of SQL, with the ability to write, tune, and optimize complex queries for high-volume environments.
- Hands-on experience designing and maintaining data lakes or cloud-based data warehouses.
- Deep understanding of data integration patterns, including data ingestion, transformation, and automated cleansing (ETL/ELT).
- Advanced ability to translate complex datasets into actionable narratives using modern business intelligence and reporting tools.
- A proven track record of using quantitative analysis to solve ambiguous problems and drive strategic decision-making in a fast-paced environment.
- Exceptional ability to collaborate with non-technical stakeholders, translating business requirements into technical specs and vice versa.
Benefits
- Generous Stock options
- Medical, dental, and vision insurance
- Generous PTO
- 11 paid company holidays
- 401(k) plan
- Infant care leave
- On-site gym/showers open 24/7
About Neighbor:
Neighbor is the largest and most comprehensive marketplace for self storage and parking, with listings in almost every U.S. city. From storage facilities to neighborhood garages, driveways, and RV spots, Neighbor brings every option together in one simple search. Come help us disrupt the $500 billion storage and parking industry! This is a unique opportunity to join a fast-growing, VC-backed tech startup. You will be part of an extremely talented, hardworking and passionate team committed to changing the world one neighbor at a time.
Neighbor is an equal opportunity employer and is committed to providing a positive interview experience for every candidate. If accommodations due to a disability or medical condition are needed, connect with us via email at hr@neighbor.com. Check out our careers page to get to know us better as you think about your next step at Neighbor!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
At Neighbor, we’re building the largest hyperlocal marketplace the world has ever seen. We’ve raised over $75 million from top-tier investors such as Andreessen Horowitz and the CEOs of DoorDash, StockX, and Uber. Our marketplace is already flourishing in all 50 states and we’re just getting started!
As a Software Engineer, Data, you will be the core engineer responsible for building, scaling, and optimizing the data infrastructure that transforms raw events into high-fidelity, actionable intelligence. You will pioneer a foundation of engineering excellence, enabling the entire organization to make reliable, data-driven decisions at scale across all 50 states.
You'll join our data & analytics team as its first dedicated data engineer, working alongside data analysts and data scientists. You'll own the pipelines and transformation layer that power analytics at Neighbor: ingesting data from production databases, APIs, and event streams, and serving it through our semantic layer and BI tools. You'll be the engineering backbone of a small, high-leverage data team.
Our stack: dbt and Dagster on Redshift and Athena, with Superset for BI.
Primary Responsibilities
- Design and build robust pipelines to ingest data from diverse sources (APIs, logs, relational DBs).
- Ensure the reliable and timely execution of all critical data pipelines (ETLs/ELTs) to maintain data integrity and freshness.
- Standardize analytics workflows by integrating software engineering best practices, including version control, CI/CD pipelines, and automated data validation protocols.
- Develop and refine a robust semantic layer to facilitate self-service analytics, enabling stakeholders to derive insights without exposure to underlying architectural complexities.
- Monitor and optimize cloud compute utilization and data model performance to ensure high availability and low-latency reporting during periods of rapid data scaling.
- Serve as a strategic technical partner to leadership across Product, Engineering, Marketing, and Finance to align data infrastructure with organizational objectives.
- Become a subject matter expert on the product ecosystem, user behavior, and marketing life cycles to better translate raw data into business value.
- Go deep on analysis yourself when the question demands it, you're comfortable in both the pipeline and the insight.
- Mentor our data analysts and data scientists on engineering best practices (code review, testing, version control, pipeline design), raising the technical bar across the team.
Qualifications
- 5+ years as software engineer including 3+ years with an emphasis in data engineering or analytics engineering.
- Bachelor's degree in quantitative and/or technical fields (Math, Physics, Statistics, Economics, Computer Science, Engineering, etc.) or equivalent practical experience.
- Expert-level mastery of SQL, with the ability to write, tune, and optimize complex queries for high-volume environments.
- Hands-on experience designing and maintaining data lakes or cloud-based data warehouses.
- Deep understanding of data integration patterns, including data ingestion, transformation, and automated cleansing (ETL/ELT).
- Advanced ability to translate complex datasets into actionable narratives using modern business intelligence and reporting tools.
- A proven track record of using quantitative analysis to solve ambiguous problems and drive strategic decision-making in a fast-paced environment.
- Exceptional ability to collaborate with non-technical stakeholders, translating business requirements into technical specs and vice versa.
Benefits
- Generous Stock options
- Medical, dental, and vision insurance
- Generous PTO
- 11 paid company holidays
- 401(k) plan
- Infant care leave
- On-site gym/showers open 24/7
About Neighbor:
Neighbor is the largest and most comprehensive marketplace for self storage and parking, with listings in almost every U.S. city. From storage facilities to neighborhood garages, driveways, and RV spots, Neighbor brings every option together in one simple search. Come help us disrupt the $500 billion storage and parking industry! This is a unique opportunity to join a fast-growing, VC-backed tech startup. You will be part of an extremely talented, hardworking and passionate team committed to changing the world one neighbor at a time.
Neighbor is an equal opportunity employer and is committed to providing a positive interview experience for every candidate. If accommodations due to a disability or medical condition are needed, connect with us via email at hr@neighbor.com. Check out our careers page to get to know us better as you think about your next step at Neighbor!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Data Manager Job Roles in Utah
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Search Data Manager Jobs in UtahData Manager Jobs in Utah: Frequently Asked Questions
Which companies sponsor visas for data managers in Utah?
Technology employers in Salt Lake City and Provo are among the most active sponsors for data manager roles. Adobe, Qualtrics, and Domo have established sponsorship track records, as does the University of Utah for data-related positions. Healthcare organizations like Intermountain Health also hire data managers and have sponsored H-1B visa workers. Sponsorship availability varies by team, headcount, and fiscal year, so confirming directly with each employer matters.
Which visa types are most common for data manager roles in Utah?
The H-1B is the most common visa category for data manager positions in Utah, as the role typically requires a bachelor's degree or higher in a relevant field such as computer science, information systems, or statistics. Candidates with Canadian or Mexican citizenship may qualify for TN visa status under the USMCA. Those with extraordinary ability in data science or management may explore O-1A classification, though that standard is significantly higher.
Which cities in Utah have the most data manager sponsorship jobs?
Salt Lake City holds the largest share of data manager sponsorship jobs in Utah, driven by its concentration of technology companies, financial services firms, and large healthcare systems. Provo and Orem form a secondary hub anchored by companies like Qualtrics and numerous SaaS startups in the Silicon Slopes corridor. Ogden and St. George have smaller but growing tech footprints, though sponsorship opportunities there are less frequent than in the Wasatch Front.
How to find data manager visa sponsorship jobs in Utah?
Migrate Mate is built specifically for international candidates and filters data manager roles in Utah by visa sponsorship eligibility, saving time that would otherwise go toward manually screening postings. Because data manager titles vary across organizations, searching variations like data operations manager or data governance manager on Migrate Mate can surface relevant roles that a narrow title search might miss. Checking postings regularly matters since sponsorship-eligible positions in Utah's tech market move quickly.
Are there state-specific considerations for data manager roles and visa sponsorship in Utah?
Utah's Silicon Slopes corridor has fueled strong demand for data management talent, which generally supports sponsorship willingness among established tech employers. The University of Utah and Brigham Young University produce a steady pipeline of domestic candidates, so international applicants benefit from highlighting specialized experience in areas like data governance, cloud platforms, or healthcare data compliance. H-1B petitions require employers to file a Labor Condition Application certifying that the offered wage meets the Department of Labor's prevailing wage for the Salt Lake City or Provo metropolitan area.
What is the prevailing wage for sponsored data manager jobs in Utah?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.