OPT Data Engineering Manager Jobs
Data Engineering Manager roles on OPT require demonstrating both technical depth and leadership experience, which strengthens your H-1B visa sponsorship case significantly. Most employers filing LCAs for this title classify it under computer and information systems management, a well-established specialty occupation with strong visa sponsorship history.
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Get Access To All JobsAbout The Energy Authority
The Energy Authority is a public power-owned, nonprofit corporation with offices in Jacksonville, Florida, and Bellevue (Seattle), Washington. TEA provides public power utilities with access to advanced resources and technology systems so they can respond competitively in the changing energy markets. Through partnership with TEA, utilities benefit from an experienced organization that is singularly focused on deriving the maximum value of their assets from the market.
Join Our Team as a Data Engineering Manager
Are you a strategic technical leader who thrives at the intersection of innovation, data, and collaboration? TEA is looking for a Data Engineering Manager to guide the development of our enterprise data ecosystem and drive cloud-first, data-centric solutions that support both internal teams and external clients. In this high-impact role, you’ll partner directly with Managers and Directors across the organization, influencing data strategy while leading a team of talented engineers to build scalable, secure, and business-critical data products. If you love shaping strategy and rolling up your sleeves to solve complex problems—whether designing cloud architectures, reviewing critical implementations, or modeling best practices—this is an opportunity to make your mark. You’ll play a pivotal role in TEA’s cloud transformation and help define the future of data at TEA.
What You’ll Do
- Identify and articulate effective cloud-based strategies to meet TEA’s evolving data engineering needs
- Lead the design and development of business-critical and client-supporting cloud data solutions
- Ensure the stability, integrity, security, and efficient operation of cloud data solutions supporting analytics and machine learning initiatives
- Lead the development of TEA’s Data Lake architecture, including data modeling, ELT processes, and data pipeline standards
- Recruit, mentor, and develop engineers to build a high-performing and collaborative team
- Influence decision-making and champion best practices across engineering and business stakeholder groups
Technical Skills We’re Looking For
- Expertise in Microsoft Azure (Azure Data Lake, Azure Databricks, Fabric, Azure Data Factory)
- Deep expertise in Azure Databricks, including Notebook development, Workflows, and Asset Bundles
- Proven ability to design and implement modern data architectures (data lakes, warehouses, lakehouses, data mesh, streaming pipelines)
- Proficiency in Python, PySpark, SQL, and modern data engineering frameworks
- Strong understanding of APIs, data integration patterns, data governance frameworks, and security/compliance standards
- Experience optimizing pipelines, architectures, and queries for performance and cost
- Knowledge of data governance, metadata management, and data security principles
Language Skills
- Ability to read, analyze, and interpret technical journals, financial reports, and legal documents
- Ability to respond to inquiries from customers, regulatory agencies, or business stakeholders
- Ability to write polished professional content such as presentations, speeches, and publications
- Ability to effectively present information to senior management, public groups, or boards of directors
Management Responsibilities
- Direct supervision of Enterprise Data Team personnel responsible for Data Engineering functions
- Interviewing, hiring, training, and developing employees
- Planning, assigning, and directing daily work
- Conducting performance evaluations and providing ongoing feedback
- Rewarding excellence and addressing performance issues
- Ensuring compliance with organizational policies and applicable laws
- Promoting strong communication, teamwork, and a culture of accountability
Education & Experience
Master’s degree (M.A.) or equivalent preferred
4–10 years of related experience and/or technical leadership
Or an equivalent combination of education and experience
If you’re ready to lead transformative data initiatives and help shape the future of TEA’s data strategy, we’d love to meet you. Apply today and bring your expertise to a team where innovation, collaboration, and impact come together.
TEA Values
TEA employees share a common sense of purpose. When TEA accomplishes its mission, the result is improved quality of life for the citizens and businesses of the communities our clients serve.
TEA employees exceed the expectations of those they serve, deliver services with the highest standards of fair, honest, and ethical behavior, set the standard for service and expertise in our industry, embody a spirit of collaboration, and embrace TEA’s founding entrepreneurial spirit by seizing opportunities to deliver value.
If you are self-motivated, driven to deliver excellence, and passionate about your career, TEA is the perfect place for you. It’s YOUR Future. It’s OUR Future.
About The Energy Authority
The Energy Authority is a public power-owned, nonprofit corporation with offices in Jacksonville, Florida, and Bellevue (Seattle), Washington. TEA provides public power utilities with access to advanced resources and technology systems so they can respond competitively in the changing energy markets. Through partnership with TEA, utilities benefit from an experienced organization that is singularly focused on deriving the maximum value of their assets from the market.
Join Our Team as a Data Engineering Manager
Are you a strategic technical leader who thrives at the intersection of innovation, data, and collaboration? TEA is looking for a Data Engineering Manager to guide the development of our enterprise data ecosystem and drive cloud-first, data-centric solutions that support both internal teams and external clients. In this high-impact role, you’ll partner directly with Managers and Directors across the organization, influencing data strategy while leading a team of talented engineers to build scalable, secure, and business-critical data products. If you love shaping strategy and rolling up your sleeves to solve complex problems—whether designing cloud architectures, reviewing critical implementations, or modeling best practices—this is an opportunity to make your mark. You’ll play a pivotal role in TEA’s cloud transformation and help define the future of data at TEA.
What You’ll Do
- Identify and articulate effective cloud-based strategies to meet TEA’s evolving data engineering needs
- Lead the design and development of business-critical and client-supporting cloud data solutions
- Ensure the stability, integrity, security, and efficient operation of cloud data solutions supporting analytics and machine learning initiatives
- Lead the development of TEA’s Data Lake architecture, including data modeling, ELT processes, and data pipeline standards
- Recruit, mentor, and develop engineers to build a high-performing and collaborative team
- Influence decision-making and champion best practices across engineering and business stakeholder groups
Technical Skills We’re Looking For
- Expertise in Microsoft Azure (Azure Data Lake, Azure Databricks, Fabric, Azure Data Factory)
- Deep expertise in Azure Databricks, including Notebook development, Workflows, and Asset Bundles
- Proven ability to design and implement modern data architectures (data lakes, warehouses, lakehouses, data mesh, streaming pipelines)
- Proficiency in Python, PySpark, SQL, and modern data engineering frameworks
- Strong understanding of APIs, data integration patterns, data governance frameworks, and security/compliance standards
- Experience optimizing pipelines, architectures, and queries for performance and cost
- Knowledge of data governance, metadata management, and data security principles
Language Skills
- Ability to read, analyze, and interpret technical journals, financial reports, and legal documents
- Ability to respond to inquiries from customers, regulatory agencies, or business stakeholders
- Ability to write polished professional content such as presentations, speeches, and publications
- Ability to effectively present information to senior management, public groups, or boards of directors
Management Responsibilities
- Direct supervision of Enterprise Data Team personnel responsible for Data Engineering functions
- Interviewing, hiring, training, and developing employees
- Planning, assigning, and directing daily work
- Conducting performance evaluations and providing ongoing feedback
- Rewarding excellence and addressing performance issues
- Ensuring compliance with organizational policies and applicable laws
- Promoting strong communication, teamwork, and a culture of accountability
Education & Experience
Master’s degree (M.A.) or equivalent preferred
4–10 years of related experience and/or technical leadership
Or an equivalent combination of education and experience
If you’re ready to lead transformative data initiatives and help shape the future of TEA’s data strategy, we’d love to meet you. Apply today and bring your expertise to a team where innovation, collaboration, and impact come together.
TEA Values
TEA employees share a common sense of purpose. When TEA accomplishes its mission, the result is improved quality of life for the citizens and businesses of the communities our clients serve.
TEA employees exceed the expectations of those they serve, deliver services with the highest standards of fair, honest, and ethical behavior, set the standard for service and expertise in our industry, embody a spirit of collaboration, and embrace TEA’s founding entrepreneurial spirit by seizing opportunities to deliver value.
If you are self-motivated, driven to deliver excellence, and passionate about your career, TEA is the perfect place for you. It’s YOUR Future. It’s OUR Future.
See all 125+ OPT Data Engineering Manager Jobs
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Get Access To All JobsTips for Finding OPT Sponsorship as a Data Engineering Manager
Target companies with active LCA filings
Companies that have previously filed Labor Condition Applications for Data Engineering Manager roles are far more likely to sponsor again. Review OFLC disclosure data to identify employers with a consistent pattern of sponsoring this specific title before applying.
Quantify your team leadership experience
Hiring managers and visa officers both need to see concrete evidence of management scope. List the number of engineers you've led, cross-functional projects you've owned, and measurable outcomes your team delivered. Vague claims of leadership won't differentiate you.
Clarify your OPT timeline upfront with recruiters
Data Engineering Manager roles often have longer hiring cycles involving multiple interview rounds. Tell recruiters your OPT end date early so they can assess whether their H-1B visa timeline is compatible with yours before investing weeks in the process.
Emphasize your specialty occupation alignment
Your degree field matters for visa eligibility. A degree in computer science, information systems, or engineering directly supports the specialty occupation classification for this role. Be ready to explain how your academic background maps to your management responsibilities.
Prioritize employers with in-house immigration counsel
Larger tech companies and enterprises typically have dedicated immigration attorneys who process H-1B petitions routinely. These employers move faster and make fewer errors than companies sponsoring for the first time. Mid-market and enterprise employers are worth prioritizing on that basis.
Build a portfolio of data infrastructure decisions you've driven
Sponsoring employers want confidence you'll add senior-level value immediately. Documenting specific architectural decisions, pipeline modernizations, or platform migrations you've led gives interviewers and immigration reviewers concrete evidence of your specialized expertise and scope.
Data Engineering Manager OPT: Frequently Asked Questions
Do Data Engineering Manager roles typically qualify as specialty occupations for OPT and H-1B purposes?
Yes. Data Engineering Manager is consistently classified as a specialty occupation because it requires a bachelor's degree or higher in a specific technical field such as computer science, information systems, or engineering. USCIS and employers treat it similarly to senior software and systems roles, making it one of the more straightforward titles to support with an H-1B petition.
How much time do I realistically need on OPT to land a Data Engineering Manager role and secure sponsorship?
The hiring process for manager-level roles typically runs six to twelve weeks from first contact to offer. Add another three to five months for your employer to prepare and file an H-1B petition, plus USCIS processing time. If you're in your final OPT year, starting your search at least nine months before your authorization expires gives you a realistic buffer.
Can I work as a Data Engineering Manager under STEM OPT extension if my degree is in a non-engineering field like statistics or data science?
It depends on whether your degree program appears on the STEM Designated Degree Program list maintained by DHS. Data science, applied mathematics, and statistics are often included, but you should verify your specific program CIP code with your DSO before assuming eligibility. If your program qualifies, the 24-month STEM extension applies regardless of your job title, provided the role is related to your field of study.
What should I look for when evaluating whether a company will genuinely sponsor my visa as a Data Engineering Manager?
Look for employers that have filed LCAs or H-1B petitions for data management or engineering titles in the past two to three years. Companies that only mention sponsorship as a possibility without a track record are higher risk. Migrate Mate filters job listings by sponsorship history, which makes it easier to identify employers who have actually followed through rather than those who only say they're open to it.
Does my OPT work authorization cover contract or consulting engagements as a Data Engineering Manager?
OPT requires that your employment be directly related to your field of study, but it does not require a traditional employer-employee relationship in all cases. Contract and consulting arrangements can be authorized under OPT if the work is substantive and field-related. However, your DSO needs to be informed of your employment situation, and self-employment or work through your own entity requires additional review. Check with your international student office before accepting a consulting-only arrangement.