STEM OPT Data Analytics Engineer Jobs
Data Analytics Engineer roles sit squarely within STEM OPT eligibility, letting you work for up to 36 months post-graduation when your employer is enrolled in E-Verify. Your STEM degree in computer science, statistics, or a related field unlocks the 24-month extension, giving you a realistic runway to transition to long-term sponsorship.
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Get Access To All JobsJOB OVERVIEW:
Skanska is searching for a dynamic Data Analytics Engineer. This is a great opportunity to start a career with a company that builds things that matter and values its team. We are proud to share our culture of diversity and inclusion.
Our work makes a clear contribution to society and the environment around us. We build in many different verticals. Whether we are building schools to provide inspiring spaces for learning, roads to connect communities, or hospitals to care for patients, it all contributes to our purpose – we build for a better society.
Skanska's values — Be Better Together, Act Ethically and Transparently, Commit to Customer, and Care for Life — are deeply engrained in how we work, which is why our values support and drive our D&I efforts.
The Data Analytics Engineer plays a crucial role in designing, implementing, and supporting enterprise data initiatives and analyses. The Data Analytics Engineer focuses on creating intuitive data models and solutions that enable business partners to easily understand and leverage high-quality, well-structured data. The ideal candidate will collaborate with data analysts and engineers to develop visual representations of data patterns and insights, effectively communicating their significance to internal and external stakeholders, colleagues, and end-users.
DATA ANALYTICS ENGINEER REQUIRED QUALIFICATIONS:
- 3+ years of experience data modeling in data warehouses with modern design patterns.
- 3+ years of experience with Microsoft Azure, including key components like Data Lake, Azure Data Factory, Azure Blob Storage, Azure Synapse and Azure SQL.
- 3+ years of experience with Power BI, including report building, DAX functions, and visualization best practices.
- 1+ year of experience with Microsoft Fabric and working knowledge of Lakehouse concepts, Delta tables, Pipelines, and Orchestration.
- Bachelor’s Degree – Computer Science, Data Engineering, or a related field or 8 years equivalent experience plus minimum 5 years prior relevant experience.
OUR INVESTMENT IN YOU:
- We believe that Benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options (including medical, dental, and vision insurance plans), expert guidance, and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially, and emotionally through the big milestones and in your everyday life. Please visit the compensation and Benefits summary on our careers site for more details.
- As a Skanska community, our values ground us, and our diversity of experience propels us forward. No matter what your career stage, there’s a place for you to thrive here and partner with us in shaping how our world lives, moves, and connects.
- At Skanska, we Care for Life. And we’re committed to supporting your whole health and peace of mind through inclusive and personalized total rewards.
- We’re committed to your success by developing you in your role and supporting your career growth.
- Compensation and financial well-being – Competitive base salary, excellent bonus program, 401k, & Employee ownership program.
COME WORK WITH US AND JOIN A WINNING TEAM!
Apply Today for Immediate Consideration!
BACKGROUND CHECK REQUIRED
Skanska is an Equal Employment Opportunity (EEO) Employer. We do not discriminate on the basis of race, color, religion, sex, national origin, disability, age, genetic information, citizenship, protected veteran status, or any other categories protected under applicable federal, state, and local laws.
Skanska Equal Employment Opportunity
Skanska uses knowledge & foresight to shape the way people live, work, and connect. More than 135 years in the making, we’re one of the world’s largest construction and project development companies. With operations in select markets throughout the Nordics, Europe and the United States, global revenue totaled $15.9 billion in 2024.
Skanska in the U.S. operates 28 offices across the country, with its headquarters in New York City. In 2024, the U.S. construction sector generated $8.2 billion in revenue, and the U.S. development sector’s net investments in commercial projects totaled $224 million.
Together with our customers and the collective expertise of our 6,300 teammates in the U.S. and 26,300 globally, we create innovative and sustainable solutions that support healthy living beyond our lifetime.
LOCATION:
Primary Location: US-NC-Charlotte
Primary Work Location/Assignment: Hybrid
Skanska Business Unit: Skanska USA Inc.
Employee Status: Full Time
Telecommute (Used for Career Site): false
JOB OVERVIEW:
Skanska is searching for a dynamic Data Analytics Engineer. This is a great opportunity to start a career with a company that builds things that matter and values its team. We are proud to share our culture of diversity and inclusion.
Our work makes a clear contribution to society and the environment around us. We build in many different verticals. Whether we are building schools to provide inspiring spaces for learning, roads to connect communities, or hospitals to care for patients, it all contributes to our purpose – we build for a better society.
Skanska's values — Be Better Together, Act Ethically and Transparently, Commit to Customer, and Care for Life — are deeply engrained in how we work, which is why our values support and drive our D&I efforts.
The Data Analytics Engineer plays a crucial role in designing, implementing, and supporting enterprise data initiatives and analyses. The Data Analytics Engineer focuses on creating intuitive data models and solutions that enable business partners to easily understand and leverage high-quality, well-structured data. The ideal candidate will collaborate with data analysts and engineers to develop visual representations of data patterns and insights, effectively communicating their significance to internal and external stakeholders, colleagues, and end-users.
DATA ANALYTICS ENGINEER REQUIRED QUALIFICATIONS:
- 3+ years of experience data modeling in data warehouses with modern design patterns.
- 3+ years of experience with Microsoft Azure, including key components like Data Lake, Azure Data Factory, Azure Blob Storage, Azure Synapse and Azure SQL.
- 3+ years of experience with Power BI, including report building, DAX functions, and visualization best practices.
- 1+ year of experience with Microsoft Fabric and working knowledge of Lakehouse concepts, Delta tables, Pipelines, and Orchestration.
- Bachelor’s Degree – Computer Science, Data Engineering, or a related field or 8 years equivalent experience plus minimum 5 years prior relevant experience.
OUR INVESTMENT IN YOU:
- We believe that Benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options (including medical, dental, and vision insurance plans), expert guidance, and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially, and emotionally through the big milestones and in your everyday life. Please visit the compensation and Benefits summary on our careers site for more details.
- As a Skanska community, our values ground us, and our diversity of experience propels us forward. No matter what your career stage, there’s a place for you to thrive here and partner with us in shaping how our world lives, moves, and connects.
- At Skanska, we Care for Life. And we’re committed to supporting your whole health and peace of mind through inclusive and personalized total rewards.
- We’re committed to your success by developing you in your role and supporting your career growth.
- Compensation and financial well-being – Competitive base salary, excellent bonus program, 401k, & Employee ownership program.
COME WORK WITH US AND JOIN A WINNING TEAM!
Apply Today for Immediate Consideration!
BACKGROUND CHECK REQUIRED
Skanska is an Equal Employment Opportunity (EEO) Employer. We do not discriminate on the basis of race, color, religion, sex, national origin, disability, age, genetic information, citizenship, protected veteran status, or any other categories protected under applicable federal, state, and local laws.
Skanska Equal Employment Opportunity
Skanska uses knowledge & foresight to shape the way people live, work, and connect. More than 135 years in the making, we’re one of the world’s largest construction and project development companies. With operations in select markets throughout the Nordics, Europe and the United States, global revenue totaled $15.9 billion in 2024.
Skanska in the U.S. operates 28 offices across the country, with its headquarters in New York City. In 2024, the U.S. construction sector generated $8.2 billion in revenue, and the U.S. development sector’s net investments in commercial projects totaled $224 million.
Together with our customers and the collective expertise of our 6,300 teammates in the U.S. and 26,300 globally, we create innovative and sustainable solutions that support healthy living beyond our lifetime.
LOCATION:
Primary Location: US-NC-Charlotte
Primary Work Location/Assignment: Hybrid
Skanska Business Unit: Skanska USA Inc.
Employee Status: Full Time
Telecommute (Used for Career Site): false
See all 2,823+ STEM OPT Data Analytics Engineer Jobs
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Get Access To All JobsTips for Finding STEM OPT Authorization as a Data Analytics Engineer
Verify your CIP code before applying
Check that your degree's Classification of Instructional Programs code maps to an approved STEM field on the official STEM OPT designated degree program list. Data science, computer science, and statistics CIP codes all qualify, but some interdisciplinary programs do not.
Confirm E-Verify enrollment before accepting offers
Ask the recruiter for the company's E-Verify employer identification number before signing anything. An employer that isn't enrolled can't legally employ you on STEM OPT, and switching roles mid-extension restarts your I-983 training plan clock.
Target employers with active H-1B filing history
Search Migrate Mate to filter Data Analytics Engineer roles by employers who have filed H-1B visa petitions, giving you a clear signal they're set up for long-term sponsorship before you invest time in their interview process.
Build your I-983 training plan around analytics deliverables
Draft measurable learning objectives tied to specific tools and outcomes, such as building a production data pipeline or completing an A/B testing framework. USCIS reviewers expect concrete, role-specific goals, not generic descriptions of analytics work.
Benchmark your offer against DOL prevailing wages
Use the OFLC Wage Search to look up the Level I through Level IV wage for Data Analytics Engineer roles in your target metro. Accepting below the applicable prevailing wage can jeopardize your employer's ability to file an LCA if they sponsor you for H-1B later.
Understand cap-gap protection if H-1B is filed
If your employer files an H-1B petition before your OPT expires and you're selected in the lottery, cap-gap automatically extends your work authorization through September 30. You can keep working your Data Analytics Engineer role uninterrupted while USCIS adjudicates the petition.
Frequently Asked Questions
Does a Data Analytics Engineer role qualify for the STEM OPT extension?
Yes, as long as your degree is in an approved STEM field such as computer science, statistics, mathematics, or information systems. The role itself must also be directly related to that degree. Check the O*NET profile for Data Analytics Engineer to confirm the educational alignment USCIS expects, and verify your program's CIP code against the official STEM designated degree list before filing.
How do I confirm an employer is enrolled in E-Verify before I start?
Ask the recruiter or HR contact for the company's E-Verify employer identification number during the offer stage, not after you've signed. You can also search the public E-Verify employer search tool by company name to confirm current enrollment status. If the employer isn't enrolled, they cannot legally employ you on STEM OPT, and your DSO cannot authorize the extension.
What should my I-983 training plan include for a Data Analytics Engineer position?
Your I-983 must list specific, measurable goals tied directly to your STEM degree and the Data Analytics Engineer role. Concrete examples include building and maintaining data pipelines, developing predictive models, or leading A/B test analyses. Vague descriptions of general analytics duties are the most common reason DSOs send training plans back for revision, so tie each goal to a tool, methodology, or deliverable.
Can cap-gap protect my work authorization if my employer sponsors me for H-1B?
Yes. If your employer files an H-1B petition before your OPT EAD expires and USCIS selects you in the lottery, cap-gap automatically extends your work authorization through September 30 of that fiscal year. You can continue working as a Data Analytics Engineer without interruption during the adjudication period. Your DSO will issue an updated I-20 reflecting the cap-gap extension once the petition is accepted.
Where can I find Data Analytics Engineer jobs with E-Verify employers?
Migrate Mate filters Data Analytics Engineer roles specifically for STEM OPT students, showing only employers already enrolled in E-Verify. You can also see each employer's H-1B filing history directly in the listing, so you know before applying whether a company has a track record of long-term sponsorship rather than discovering that gap after an offer.