H-1B Visa Senior Staff Data Engineer Jobs
Senior Staff Data Engineer roles sit squarely within H-1B visa specialty occupation territory, requiring at least a bachelor's degree in computer science, data engineering, or a related field. Employers filing H-1B petitions for this title must certify a prevailing wage through DOL, making verified LCA filing history a reliable signal of active sponsorship.
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Company and benefits
Job ID
SRSTA020472
Employment Type
Regular
Work Style
hybrid
Location
Sunrise,FL,United States, Lowell,MA,United States, Atlanta,GA,United States, Alpharetta,GA,United States
Travel
Up to 25%
Role
Sr. Staff Data Engineer
Why UKG:
At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That’s what we do.
We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you’ll get flexibility that’s real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters—and so do you.
About the team
The FinOps team partners with Engineering, Finance, Data & Analytics, and Product teams to strengthen cloud financial governance across UKG. The team is building the data foundation for UKG’s FinOps 2.0 strategy and AskFinOps artificial intelligence platform.
About the role
As a Senior Staff Data Engineer, FinOps Platform & Reporting, you will lead the design, development, and evolution of UKG’s Unified FinOps Platform. You will architect and build scalable, cloud-native data products that transform cloud cost, billing, usage, telemetry, and operational data into trusted financial insights, forecasting models, and actionable optimization opportunities.
This role will enable accurate cloud financial governance across Amazon Web Services (AWS) and Google Cloud Platform (GCP) through automated reporting, allocation, forecasting, and unit economics capabilities. You will partner closely with FinOps, Engineering, Finance, Data & Analytics, and Product teams to build the data foundation that supports UKG’s FinOps 2.0 strategy and AskFinOps AI platform.
Key responsibilities:
Platform architecture and engineering leadership
- Lead the architecture and implementation of the Unified FinOps Data Platform.
- Design scalable, cloud-native data solutions that support cost allocation, forecasting, optimization, and reporting.
- Define data standards, governance frameworks, and engineering best practices.
- Serve as the technical lead for FinOps data architecture across AWS and GCP environments.
- Lead DevOps automation, continuous integration and continuous delivery (CI/CD), infrastructure as code, and platform reliability initiatives.
- Enable artificial intelligence, machine learning, and generative artificial intelligence capabilities through scalable data architectures and governed data products.
- Support AskFinOps AI use cases, including forecasting, anomaly detection, and intelligent optimization.
Data products and pipeline development
- Build and maintain enterprise-grade pipelines for cloud billing and usage data.
- Develop data products that support cost allocation, chargeback and showback, discount and commitment utilization, application and service telemetry, and unit economics.
- Create data products that support cost-to-serve metrics and financial reporting.
- Develop near-real-time ingestion and processing capabilities.
- Automate reconciliation between cloud provider invoices and financial reporting systems.
Forecasting and FinOps intelligence
- Enable forecasting and planning models using historical consumption, demand signals, and business growth trends.
- Partner with FinOps practitioners to improve forecast accuracy and budget governance.
- Support artificial intelligence-enabled insights and decision automation capabilities.
Reporting and governance
- Deliver trusted datasets and reporting structures that support Sarbanes-Oxley (SOX) compliance.
- Establish data quality monitoring, lineage, and observability standards.
- Create reusable semantic models that serve Finance, Engineering, and executive stakeholders.
Cross-functional partnership
- Collaborate with FinOps, Finance, Product Engineering, Architecture, and Data teams.
- Mentor engineers and establish engineering standards for the FinOps platform.
- Drive adoption of data products and self-service reporting capabilities.
About you:
Basic qualifications:
- 8+ years of data engineering experience.
- 3+ years of experience designing large-scale, cloud-native data platforms.
- Strong expertise in AWS and/or GCP data ecosystems.
- Advanced SQL and Python development experience.
- Experience with modern data platforms such as BigQuery, Snowflake, Databricks, or Redshift.
- Expertise building extract, transform, load (ETL) and extract, load, transform (ELT) pipelines and data orchestration frameworks.
- Experience with DevOps practices, including CI/CD, infrastructure as code, and cloud automation.
- Experience with containerization and orchestration technologies such as Docker and Kubernetes.
- Experience supporting artificial intelligence, machine learning, or generative artificial intelligence data platforms and solutions.
- Experience working with financial, billing, usage, or operational analytics datasets.
- Strong communication and stakeholder management skills.
Preferred qualifications
- Experience with FinOps, cloud cost management, or cloud financial governance.
- Experience with Terraform, GitHub Actions, Jenkins, or similar DevOps tools.
- Experience with Vertex AI or similar artificial intelligence platforms, generative artificial intelligence tools, and AI-enabled analytics platforms.
- FinOps Certified Practitioner or FinOps Certified Professional certification.
- Bachelor’s degree in Computer Science, Engineering, Analytics, or a related field.
Company Overview:
UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry — because great organizations know their workforce is their competitive edge.
Equal Opportunity Employer
UKG is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, disability, religion, sex, age, national origin, veteran status, genetic information, and other legally protected categories.
UKG participates in E-Verify.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Disability Accommodation in the Application and Interview Process
For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com.
The pay range for this position is $145,600 to $209,300. The actual base pay offered may vary depending on skills, experience, job-related knowledge and work location. In addition to base pay, employees may be eligible to participate in a performance-based bonus plan and to receive restricted stock unit awards as part of total compensation.
NOTICE ON HIRING SCAMS
UKG will never ask you for a copy of your driver’s license, social security card, or passport during a job interview.
ABOUT OUR JOB DESCRIPTIONS
All job descriptions are written to accurately reflect the open job and include general work responsibilities. They do not present a comprehensive, detailed inventory of all duties, responsibilities, and qualifications required for the job. Management reserves the right to revise the job or require that other or different tasks be performed if or when circumstances change.
Job description
Company and benefits
Job ID
SRSTA020472
Employment Type
Regular
Work Style
hybrid
Location
Sunrise,FL,United States, Lowell,MA,United States, Atlanta,GA,United States, Alpharetta,GA,United States
Travel
Up to 25%
Role
Sr. Staff Data Engineer
Why UKG:
At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That’s what we do.
We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you’ll get flexibility that’s real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters—and so do you.
About the team
The FinOps team partners with Engineering, Finance, Data & Analytics, and Product teams to strengthen cloud financial governance across UKG. The team is building the data foundation for UKG’s FinOps 2.0 strategy and AskFinOps artificial intelligence platform.
About the role
As a Senior Staff Data Engineer, FinOps Platform & Reporting, you will lead the design, development, and evolution of UKG’s Unified FinOps Platform. You will architect and build scalable, cloud-native data products that transform cloud cost, billing, usage, telemetry, and operational data into trusted financial insights, forecasting models, and actionable optimization opportunities.
This role will enable accurate cloud financial governance across Amazon Web Services (AWS) and Google Cloud Platform (GCP) through automated reporting, allocation, forecasting, and unit economics capabilities. You will partner closely with FinOps, Engineering, Finance, Data & Analytics, and Product teams to build the data foundation that supports UKG’s FinOps 2.0 strategy and AskFinOps AI platform.
Key responsibilities:
Platform architecture and engineering leadership
- Lead the architecture and implementation of the Unified FinOps Data Platform.
- Design scalable, cloud-native data solutions that support cost allocation, forecasting, optimization, and reporting.
- Define data standards, governance frameworks, and engineering best practices.
- Serve as the technical lead for FinOps data architecture across AWS and GCP environments.
- Lead DevOps automation, continuous integration and continuous delivery (CI/CD), infrastructure as code, and platform reliability initiatives.
- Enable artificial intelligence, machine learning, and generative artificial intelligence capabilities through scalable data architectures and governed data products.
- Support AskFinOps AI use cases, including forecasting, anomaly detection, and intelligent optimization.
Data products and pipeline development
- Build and maintain enterprise-grade pipelines for cloud billing and usage data.
- Develop data products that support cost allocation, chargeback and showback, discount and commitment utilization, application and service telemetry, and unit economics.
- Create data products that support cost-to-serve metrics and financial reporting.
- Develop near-real-time ingestion and processing capabilities.
- Automate reconciliation between cloud provider invoices and financial reporting systems.
Forecasting and FinOps intelligence
- Enable forecasting and planning models using historical consumption, demand signals, and business growth trends.
- Partner with FinOps practitioners to improve forecast accuracy and budget governance.
- Support artificial intelligence-enabled insights and decision automation capabilities.
Reporting and governance
- Deliver trusted datasets and reporting structures that support Sarbanes-Oxley (SOX) compliance.
- Establish data quality monitoring, lineage, and observability standards.
- Create reusable semantic models that serve Finance, Engineering, and executive stakeholders.
Cross-functional partnership
- Collaborate with FinOps, Finance, Product Engineering, Architecture, and Data teams.
- Mentor engineers and establish engineering standards for the FinOps platform.
- Drive adoption of data products and self-service reporting capabilities.
About you:
Basic qualifications:
- 8+ years of data engineering experience.
- 3+ years of experience designing large-scale, cloud-native data platforms.
- Strong expertise in AWS and/or GCP data ecosystems.
- Advanced SQL and Python development experience.
- Experience with modern data platforms such as BigQuery, Snowflake, Databricks, or Redshift.
- Expertise building extract, transform, load (ETL) and extract, load, transform (ELT) pipelines and data orchestration frameworks.
- Experience with DevOps practices, including CI/CD, infrastructure as code, and cloud automation.
- Experience with containerization and orchestration technologies such as Docker and Kubernetes.
- Experience supporting artificial intelligence, machine learning, or generative artificial intelligence data platforms and solutions.
- Experience working with financial, billing, usage, or operational analytics datasets.
- Strong communication and stakeholder management skills.
Preferred qualifications
- Experience with FinOps, cloud cost management, or cloud financial governance.
- Experience with Terraform, GitHub Actions, Jenkins, or similar DevOps tools.
- Experience with Vertex AI or similar artificial intelligence platforms, generative artificial intelligence tools, and AI-enabled analytics platforms.
- FinOps Certified Practitioner or FinOps Certified Professional certification.
- Bachelor’s degree in Computer Science, Engineering, Analytics, or a related field.
Company Overview:
UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry — because great organizations know their workforce is their competitive edge.
Equal Opportunity Employer
UKG is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, disability, religion, sex, age, national origin, veteran status, genetic information, and other legally protected categories.
UKG participates in E-Verify.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Disability Accommodation in the Application and Interview Process
For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com.
The pay range for this position is $145,600 to $209,300. The actual base pay offered may vary depending on skills, experience, job-related knowledge and work location. In addition to base pay, employees may be eligible to participate in a performance-based bonus plan and to receive restricted stock unit awards as part of total compensation.
NOTICE ON HIRING SCAMS
UKG will never ask you for a copy of your driver’s license, social security card, or passport during a job interview.
ABOUT OUR JOB DESCRIPTIONS
All job descriptions are written to accurately reflect the open job and include general work responsibilities. They do not present a comprehensive, detailed inventory of all duties, responsibilities, and qualifications required for the job. Management reserves the right to revise the job or require that other or different tasks be performed if or when circumstances change.
See all 808+ H-1B Visa Senior Staff Data Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Senior Staff Data Engineer Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Senior Staff Data Engineer
Benchmark your wage against DOL data
Pull the Level III or IV prevailing wage for your SOC code and metro area using the OFLC Wage Search before negotiating. Your offer must meet or exceed this threshold for the LCA to certify, and underpaying at this seniority level is a common RFE trigger.
Verify your degree field matches the petition
USCIS scrutinizes specialty occupation claims heavily for staff-level engineering roles. A degree in computer science or data science supports the petition cleanly. A degree in business or a less technical field may require a credential evaluation or supporting documentation showing direct relevance.
Search employers by confirmed LCA filing history
Use Migrate Mate to filter companies by verified DOL LCA filings for data engineering roles. This surfaces employers who have actually sponsored this title before, not just those who mention visa sponsorship in job postings without a track record.
Target cap-exempt employers when lottery timing is tight
Universities, nonprofit research organizations, and certain government-affiliated entities are exempt from the H-1B cap and can file year-round. Staff-level data engineers are in demand at research hospitals and academic medical centers that qualify under this exemption.
Request premium processing if your start date is fixed
Standard H-1B adjudication can run several months. If you're transitioning from OPT with a specific end date or starting a role with a firm go-live deadline, ask your employer to elect premium processing so USCIS issues a decision within the published business-day window.
Clarify architecture ownership scope in your job description
Staff and principal-level engineers sometimes receive RFEs when job duties read as managerial rather than technical. Ensure your offer letter and support letter describe hands-on system design, data modeling, and pipeline architecture work to reinforce the specialty occupation determination.
H-1B Visa Senior Staff Data Engineer: Frequently Asked Questions
Does a Senior Staff Data Engineer role qualify as a specialty occupation for H-1B purposes?
Yes. Senior Staff Data Engineer roles require theoretical and practical application of highly specialized knowledge, and USCIS consistently treats data engineering at this level as a specialty occupation. The key is that the position must normally require at least a bachelor's degree in a directly related field such as computer science, data engineering, or information systems. Titles at the staff or principal level generally satisfy this requirement, though your employer's job description needs to reflect technical depth rather than purely supervisory duties.
How do I find companies that have actually sponsored H-1B visas for data engineering roles?
Migrate Mate surfaces employers with verified DOL LCA filing history filtered by occupation, so you can see which companies have filed for data engineering roles rather than relying on unverified sponsorship claims in job postings. This matters at the senior staff level because sponsorship complexity increases with seniority, and employers with a filing track record are better positioned to navigate the process than those encountering it for the first time.
What wage level should I expect an employer to certify on my LCA?
For a Senior Staff Data Engineer, employers typically certify at DOL wage Level III or Level IV, which correspond to experienced and fully competent workers in the occupation. The exact amount depends on your SOC code and the metropolitan area where you'll work. You can check the applicable prevailing wage yourself using the OFLC Wage Search before accepting an offer, since the certified wage sets a floor your employer cannot pay below during your H-1B period.
Can I transfer my H-1B to a new employer if I switch data engineering jobs at this level?
Yes. Under H-1B portability rules, you can start working for a new employer as soon as they file a transfer petition with USCIS, without waiting for approval, as long as your previous H-1B was approved and you've maintained lawful status. At the senior staff level, ensure the new role similarly qualifies as a specialty occupation so the transfer petition doesn't face scrutiny on the specialty occupation question during adjudication.
What documentation should I prepare before an employer starts my H-1B petition?
You'll need academic transcripts and your degree certificate, a current resume detailing technical responsibilities rather than just titles, and any credential evaluation if your degree is from outside the U.S. For senior staff roles, employers often include an expert opinion letter or a detailed support letter that maps your degree and experience to the specific technical duties in the position, which helps preempt an RFE on specialty occupation grounds. O*NET occupation data for your SOC code is also commonly referenced in petitions at this level.