Green Card Senior Staff Data Engineer Jobs
Senior Staff Data Engineer roles qualify for EB-2 and EB-3 green card sponsorship through PERM labor certification, where your employer documents that no qualified U.S. worker is available for the position. Staff-level data engineering seniority strengthens the advanced-degree professional case under EB-2, while EB-3 covers skilled professionals with bachelor's degrees.
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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 759+ Green Card Senior Staff Data Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card Senior Staff Data Engineer Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship as a Senior Staff Data Engineer
Document your technical specialization before applying
PERM audits for senior data engineering roles often scrutinize whether the job duties genuinely require specialized skills. Catalog your experience with specific data platforms, pipeline architectures, and distributed systems so your employer can accurately draft the job description.
Target employers with active PERM filing history
Use the OFLC Wage Search to check whether potential employers have filed PERM applications for data engineering roles. Employers who have navigated the process before move faster and make fewer documentation errors that delay your case.
Verify your degree equivalency meets EB-2 standards
EB-2 requires an advanced degree or a bachelor's degree plus five years of progressive experience. If your credentials come from outside the U.S., get a credential evaluation early so your employer's attorney can confirm the EB-2 pathway before PERM is filed.
Search for green card sponsoring jobs on Migrate Mate
Filter by Senior Staff Data Engineer roles where employers have PERM and I-140 filing history. Migrate Mate surfaces that sponsorship data directly, so you're not asking about green card willingness cold in your first interview.
Negotiate PERM timing into your offer discussion
Ask the hiring manager whether PERM filing can begin within your first year of employment. Some companies batch filings annually, which can add months to your wait. Getting a written commitment on timing protects you before you resign from your current status.
Understand how your priority date affects concurrent filing
Once your employer files the I-140, USCIS may allow you to concurrently file I-485 adjustment of status if a visa number is immediately available for your country and preference category. For EB-2 candidates from non-backlogged countries, this can cut the overall timeline significantly.
Green Card Senior Staff Data Engineer: Frequently Asked Questions
Does a Senior Staff Data Engineer role qualify for EB-2 or EB-3 sponsorship?
Most Senior Staff Data Engineer positions qualify for EB-2 because they require at minimum a bachelor's degree in computer science, engineering, or a related field, and typically involve specialized expertise that supports an advanced-degree professional classification. If your employer structures the role at a lower technical threshold, EB-3 remains available. The job description drafted for PERM is what determines which category fits.
How does PERM green card sponsorship differ from H-1B sponsorship for this role?
H-1B visa is a temporary nonimmigrant status capped at 85,000 slots annually with a lottery for most applicants. PERM-based green card sponsorship has no annual cap at the petition level and leads to permanent residency rather than a renewable work authorization period. The PERM process is longer upfront, typically 12 to 24 months before the I-140 stage, but there's no lottery risk and the outcome is permanent status rather than a visa requiring renewal.
What does the PERM recruitment process look like for a senior-level data engineering role?
Your employer must conduct a DOL-prescribed recruitment campaign, including job postings, newspaper ads, and internal notice, to demonstrate no qualified U.S. worker is available at the offered wage. For a Senior Staff Data Engineer, the job requirements in those postings must match what you actually do, because PERM audits frequently flag inflated or overly narrow duties. The recruitment window runs 30 to 180 days before the PERM application is submitted.
How can I find Senior Staff Data Engineer jobs where employers are willing to sponsor a green card?
Search on Migrate Mate, which filters roles by employers with documented PERM and I-140 filing history for data engineering positions. This lets you focus outreach on companies that have already navigated the sponsorship process rather than approaching employers cold. Asking about green card sponsorship without that data often screens you out before you reach a hiring manager.
Can I switch jobs after my employer files the I-140 for a Senior Staff Data Engineer role?
Once your I-140 has been approved and you've held that approval for 180 days, portability rules under AC21 let you change to a new job in the same or a similar occupational classification without losing your priority date. A Senior Staff Data Engineer moving to another data engineering role at the same or higher seniority typically qualifies. USCIS evaluates the similarity of duties and required skills, not the exact job title.