H-1B Visa Data Engineering Manager Jobs
Data Engineering Manager roles qualify for H-1B sponsorship as specialty occupations requiring a bachelor's degree or higher in computer science, information systems, or a related field. Large tech, finance, and healthcare employers file LCAs with the DOL and run H-1B petitions through USCIS for this role annually.
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Get Access To All JobsINTRODUCTION
EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all. The exceptional EY experience. It's yours to build.
ABOUT THE JOB
Consulting, Technology Consulting - AI & Data - E2E - Enterprise Data - Data Engineering (Cloud Big Data) (Manager) (Multiple Positions) (1695986), Ernst & Young U.S. LLP, Hoboken, NJ.
Assist client engagement teams delivering professional services and help manage business development activities by developing and applying analytics to solve business problems. Deliver the latest big data technologies and practices to design, build and maintain scalable and robust solutions that unify, enrich and analyze data from multiple sources. Design, architect, and develop solutions leveraging cloud big data technology to ingest, process and analyze large, disparate data sets to exceed business requirements. Unify, enrich, and analyze customer data to derive insights and opportunities. Leverage in-house data platforms as needed and recommending and building new data platforms/solutions as required to exceed business requirements. Communicate findings, recommendations, and opportunities to improve data systems and solutions. Apply data driven approach (KPIs) in tying technology solutions to specific business outcomes. Collaborate, influence and building consensus through constructive relationships and effective listening.
Manage and motivate teams with diverse skills and backgrounds. Consistently deliver quality client services by monitoring progress. Demonstrate in-depth technical capabilities and professional knowledge. Maintain long-term client relationships and networks. Cultivate business development opportunities.
Full time employment, Monday – Friday, 40 hours per week, 8:30 am – 5:30 pm.
MINIMUM REQUIREMENTS:
Must have a Bachelor's degree in Business, Mathematics, Statistics, Information Systems, Computer Science, Engineering, Analytics, or a related field, and 5 years of progressive, post-baccalaureate related work experience; Alternatively, will accept a Master’s degree in Business, Mathematics, Statistics, Information Systems, Computer Science, Engineering, Analytics, or a related field, and 4 years of related work experience.
Must have 4 years of experience with Cloud and Big Data technologies.
Must have 3 years of experience in implementing, automating and integrating a combination of at least four (4) of the following Big Data infrastructure resources: S3, Redshift, Aurora, Kinesis, Kafka, EMR, Lambda, SNS, Azure Blob Storage Account, SQL Data Warehouse, Microsoft Event Hubs, HDInsights, Azure Databricks, Azure Functions, Event Grid, and/or Data Lake Analytics.
Must have 4 years of experience with IaC & Configuration Management tools including one or a combination of any of the following: Chef, puppet, CloudFormation, terraform, ansible, boto3 and/or Azure/GCP equivalent.
Must have 4 years of experience with core Operating systems including one or a combination of any of the following: Linux RHEL, Ubuntu, and/or System administration tasks including shell scripting.
Must have 4 years of experience with Network Engineering/Admin including one or a combination of any of the following: vpc, subnet, security groups, VPC-Endpoints, and/or nat/route tables.
Must have 4 years of experience with container technology such as docker or Kubernetes.
Must have 4 years of experience using security tools/concepts including one or a combination of any of the following: At Rest, in transit Encryption, IAM, key and/or certificate management.
Must have 4 years of experience with CI/CD pipeline management (such as git/bitbucket), and code deployment tools (such as Jenkins, or sonar cube).
Must have 2 years of experience supervising a team of data professionals.
Travel required up to 50% of the time, of which 10% may be international to meet client needs.
Employer will accept any suitable combination of education, training or experience.
What we offer
We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary for this job is $164,407.00 per year. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
- Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
- Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
- Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
- Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
EY accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
The exceptional EY experience. It’s yours to build.
EY | Building a better working world
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
For those living in California, please click here for additional information.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities, including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, type Option 2 (HR-related inquiries) and then type Option 1 (HR Shared Services Center), which will route you to EY’s Talent Shared Services Team or email SSC Customer Support at ssc.customersupport@ey.com.
This particular position at Ernst & Young in the United States requires the qualified candidate to be a "United States worker" as defined by the U.S. Department of Labor regulations at 20 CFR 656.3. You can review this definition at https://www.gpo.gov/fdsys/pkg/CFR-2011-title20-vol3/pdf/CFR-2011-title20-vol3-sec656-3.pdf at the bottom of page 750. Please feel free to apply to other positions that do not require you to be a "U.S. worker".
INTRODUCTION
EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all. The exceptional EY experience. It's yours to build.
ABOUT THE JOB
Consulting, Technology Consulting - AI & Data - E2E - Enterprise Data - Data Engineering (Cloud Big Data) (Manager) (Multiple Positions) (1695986), Ernst & Young U.S. LLP, Hoboken, NJ.
Assist client engagement teams delivering professional services and help manage business development activities by developing and applying analytics to solve business problems. Deliver the latest big data technologies and practices to design, build and maintain scalable and robust solutions that unify, enrich and analyze data from multiple sources. Design, architect, and develop solutions leveraging cloud big data technology to ingest, process and analyze large, disparate data sets to exceed business requirements. Unify, enrich, and analyze customer data to derive insights and opportunities. Leverage in-house data platforms as needed and recommending and building new data platforms/solutions as required to exceed business requirements. Communicate findings, recommendations, and opportunities to improve data systems and solutions. Apply data driven approach (KPIs) in tying technology solutions to specific business outcomes. Collaborate, influence and building consensus through constructive relationships and effective listening.
Manage and motivate teams with diverse skills and backgrounds. Consistently deliver quality client services by monitoring progress. Demonstrate in-depth technical capabilities and professional knowledge. Maintain long-term client relationships and networks. Cultivate business development opportunities.
Full time employment, Monday – Friday, 40 hours per week, 8:30 am – 5:30 pm.
MINIMUM REQUIREMENTS:
Must have a Bachelor's degree in Business, Mathematics, Statistics, Information Systems, Computer Science, Engineering, Analytics, or a related field, and 5 years of progressive, post-baccalaureate related work experience; Alternatively, will accept a Master’s degree in Business, Mathematics, Statistics, Information Systems, Computer Science, Engineering, Analytics, or a related field, and 4 years of related work experience.
Must have 4 years of experience with Cloud and Big Data technologies.
Must have 3 years of experience in implementing, automating and integrating a combination of at least four (4) of the following Big Data infrastructure resources: S3, Redshift, Aurora, Kinesis, Kafka, EMR, Lambda, SNS, Azure Blob Storage Account, SQL Data Warehouse, Microsoft Event Hubs, HDInsights, Azure Databricks, Azure Functions, Event Grid, and/or Data Lake Analytics.
Must have 4 years of experience with IaC & Configuration Management tools including one or a combination of any of the following: Chef, puppet, CloudFormation, terraform, ansible, boto3 and/or Azure/GCP equivalent.
Must have 4 years of experience with core Operating systems including one or a combination of any of the following: Linux RHEL, Ubuntu, and/or System administration tasks including shell scripting.
Must have 4 years of experience with Network Engineering/Admin including one or a combination of any of the following: vpc, subnet, security groups, VPC-Endpoints, and/or nat/route tables.
Must have 4 years of experience with container technology such as docker or Kubernetes.
Must have 4 years of experience using security tools/concepts including one or a combination of any of the following: At Rest, in transit Encryption, IAM, key and/or certificate management.
Must have 4 years of experience with CI/CD pipeline management (such as git/bitbucket), and code deployment tools (such as Jenkins, or sonar cube).
Must have 2 years of experience supervising a team of data professionals.
Travel required up to 50% of the time, of which 10% may be international to meet client needs.
Employer will accept any suitable combination of education, training or experience.
What we offer
We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary for this job is $164,407.00 per year. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
- Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
- Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
- Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
- Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
EY accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
The exceptional EY experience. It’s yours to build.
EY | Building a better working world
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
For those living in California, please click here for additional information.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities, including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, type Option 2 (HR-related inquiries) and then type Option 1 (HR Shared Services Center), which will route you to EY’s Talent Shared Services Team or email SSC Customer Support at ssc.customersupport@ey.com.
This particular position at Ernst & Young in the United States requires the qualified candidate to be a "United States worker" as defined by the U.S. Department of Labor regulations at 20 CFR 656.3. You can review this definition at https://www.gpo.gov/fdsys/pkg/CFR-2011-title20-vol3/pdf/CFR-2011-title20-vol3-sec656-3.pdf at the bottom of page 750. Please feel free to apply to other positions that do not require you to be a "U.S. worker".
See all 1,298+ 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 H-1B Visa Sponsorship as a Data Engineering Manager
Align your credentials to specialty occupation standards
USCIS evaluates whether your degree field directly relates to data engineering management. A computer science or information systems degree is the clearest fit. If your degree is adjacent, gather course transcripts showing data systems coursework before applying.
Target employers with active LCA filing history
Search Migrate Mate to filter employers who have filed Labor Condition Applications for data engineering and management roles. This confirms they have experience running H-1B petitions for this occupation, not just engineering individual contributor positions.
Verify prevailing wage tier before evaluating offers
Use the OFLC Wage Search to look up wage levels for your job title, SOC code, and metro area. Data Engineering Manager roles often fall at Level III or IV. An offer below the certified LCA wage will fail DOL review.
Confirm your role meets O*NET management criteria
Pull the O*NET profile for database administrators and data architects to check which tasks and knowledge areas USCIS expects. Data Engineering Manager petitions are stronger when the job description maps directly to O*NET's listed tasks for the occupation.
Plan around the cap and registration window
USCIS opens H-1B registration in March for the fiscal year starting October 1. If you're not already on a valid H-1B, your employer must register you in that window. Missing it means waiting another year unless you qualify for a cap-exempt employer.
Negotiate petition filing timeline into your offer
Ask your employer to confirm whether they'll file standard or premium processing before you accept. Standard processing can run several months; premium processing through USCIS gets a decision within 15 business days. This affects your start date and status transition planning.
Data Engineering Manager jobs are hiring across the US. Find yours.
Find Data Engineering Manager JobsData Engineering Manager H-1B Visa: Frequently Asked Questions
Does a Data Engineering Manager role qualify as an H-1B specialty occupation?
Yes. USCIS classifies Data Engineering Manager as a specialty occupation because the role typically requires at least a bachelor's degree in computer science, information systems, or a closely related field. The job description must show that a specific degree field is a standard requirement for the position, not just a preference.
Which employers sponsor H-1B visas for Data Engineering Manager positions?
Tech companies, financial institutions, healthcare systems, and large consulting firms are the most consistent H-1B sponsors for this role. Employers in industries with mature data infrastructure teams file LCAs for this occupation regularly. Use Migrate Mate to browse current openings filtered by employers with active H-1B filing history for data engineering management roles.
How does the prevailing wage requirement affect Data Engineering Manager H-1B petitions?
Your employer files an LCA with the DOL certifying your offered salary meets the prevailing wage for the role in your work location. Data Engineering Manager typically maps to a higher wage level given the management component. If the offered salary falls below the certified wage level, DOL will reject the LCA and the H-1B petition can't proceed.
Can I transfer my H-1B to a new Data Engineering Manager role at a different company?
Yes. Under H-1B portability rules, you can start working for a new employer as soon as the new petition is filed, as long as you're in valid status and your prior petition was approved. The new employer must file a fresh I-129 and LCA for the Data Engineering Manager role. You don't need to wait for approval before starting.
Does managing a team affect how USCIS evaluates the specialty occupation standard?
It can work in your favor. Petitions for managerial roles are stronger when the job description demonstrates that the management duties are secondary to specialized technical oversight, not general administration. USCIS looks for evidence that the degree requirement flows from the technical nature of the work, not just the seniority of the title.
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