STEM OPT Data Engineering Manager Jobs
Data Engineering Manager roles qualify for the 24-month STEM OPT extension when your degree falls under an eligible CIP code in computer science, information systems, or a related STEM field. Employers must be enrolled in E-Verify to hire you, and you'll need a signed I-983 training plan before your extension begins.
See All Data Engineering Manager JobsOverview
Showing 5 of 108+ Data Engineering Manager jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 108+ Data Engineering Manager jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Engineering Manager roles.
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 108+ Data Engineering Manager jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Engineering Manager roles.
Get Access To All JobsTips for Finding STEM OPT Authorization as a Data Engineering Manager
Verify your CIP code before applying
Check that your degree's CIP code appears on the DHS STEM Designated Degree Program List. Data engineering roles often align with computer science or information systems codes, but your specific program title may require confirmation from your DSO.
Confirm E-Verify enrollment before accepting offers
Any employer hiring you on STEM OPT must be actively enrolled in E-Verify, not just registered. Ask the recruiter for their E-Verify company ID and cross-check it on the E-Verify employer search before signing anything.
Build your I-983 training plan around manager-level deliverables
Data Engineering Manager roles require an I-983 that maps your learning objectives to concrete outcomes like pipeline architecture decisions, team mentorship, and cross-functional data governance work, not just technical tasks your reports handle.
Target employers with active H-1B LCA filing history
Use Migrate Mate to filter Data Engineering Manager roles by employers who have filed Labor Condition Applications, which signals they understand and have executed visa sponsorship processes rather than encountering them for the first time with your offer.
Negotiate your start date around USCIS processing windows
File your STEM OPT extension application up to 90 days before your initial OPT expires. If USCIS hasn't adjudicated by your end date, your 180-day cap-gap period keeps you authorized, but your start date should account for EAD card delivery time.
Use the OFLC Wage Search to anchor your salary discussion
Data Engineering Manager roles have a defined prevailing wage by metropolitan area. Pull the Level II and Level III figures from the OFLC Wage Search for your target city so you can evaluate whether an offer meets or undercuts the DOL standard before accepting.
Data Engineering Manager jobs are hiring across the US. Find yours.
Find Data Engineering Manager JobsFrequently Asked Questions
Does a Data Engineering Manager role qualify for the STEM OPT extension?
Yes, if your degree is in an eligible STEM field such as computer science, information systems, or data science, and appears on the DHS STEM Designated Degree Program List. The role itself doesn't determine eligibility; your degree's CIP code does. Confirm your specific program with your DSO before applying for the extension.
What E-Verify requirement applies to my STEM OPT employer?
Your employer must be enrolled in E-Verify for the specific site where you'll work, not just at the company level. Multi-site companies sometimes have location-level enrollment gaps. Ask HR for the E-Verify company ID tied to your work location and verify it directly through the E-Verify employer search before your extension is approved.
How should the I-983 training plan reflect a management-level role?
A Data Engineering Manager's I-983 must document concrete learning goals tied to your management functions, such as designing scalable data infrastructure, leading engineering teams, and implementing data governance frameworks. Generic objectives that mirror an individual contributor's work will draw scrutiny from USCIS. Your employer's HR or immigration contact should co-sign a plan that reflects actual managerial scope.
What happens to my STEM OPT authorization if my job offer is delayed?
If you've filed your STEM OPT extension before your initial OPT expires, a 180-day cap-gap period keeps your work authorization intact while USCIS adjudicates. You can't start a new job during this period under a different employer without a separate authorization. Time your application filing to the 90-day window before expiration to maximize this buffer.
Where can I find Data Engineering Manager roles at E-Verify enrolled employers?
Migrate Mate filters Data Engineering Manager job listings by employers with verified sponsorship history, including E-Verify enrollment and LCA filing records, so you're not cold-calling companies to ask about their immigration infrastructure. Searching there narrows your list to employers already equipped to support your STEM OPT extension and any future H-1B transition.
See which Data Engineering Manager employers are hiring and sponsoring visas right now.
Search Data Engineering Manager Jobs