Data Analytics Engineer Jobs at Wipro with Visa Sponsorship
Wipro hires Data Analytics Engineers across its global delivery and consulting practices, building teams that work on data pipelines, business intelligence, and cloud platforms for enterprise clients. For international candidates, Wipro has a well-established sponsorship process covering a range of visa categories.
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INTRODUCTION
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world.
Position Summary
This role will serve as the strategic lead for designing, developing, and maintaining enterprise-grade data models that support ESG reporting, analytics, regulatory compliance, and operational decision-making. This role requires deep subject-matter expertise across ESG frameworks, metrics, and data taxonomies, combined with advanced data modeling skills. The Senior Data Modeler will partner closely with data engineering, ESG program leaders, risk, compliance, and business stakeholders to ensure the organization’s ESG data assets are accurate, scalable, and aligned with both internal standards and external disclosure requirements.
KEY RESPONSIBILITIES
Data Strategy Modeling:
- Design and maintain conceptual, logical, and physical data models to support ESG reporting, dashboards, and analytical products.
- Develop and implement data standards, metadata structures, lineage documentation, and governance practices specific to ESG data domains.
- Translate ESG program requirements into scalable data architectures that support reporting frameworks such as SASB, GRI, TCFD, ISSB, CSRD, and industry-specific regulatory mandates.
- Build models that enable ingestion, integration, and normalization of diverse ESG data sources, including structured operational datasets, third-party ratings, qualitative assessments, and unstructured content.
ESG Subject Matter Expertise:
- Partner with ESG leaders to understand evolving disclosure requirements and maintain alignment between data assets and regulatory obligations.
- Define and maintain ESG data taxonomies, business rules, KPIs, and calculation logic (e.g., GHG emissions, DEI metrics, governance indicators).
- Advise cross-functional teams on best practices for capturing, storing, and validating ESG data.
Data Quality Governance:
- Establish ESG data quality controls, validation rules, and stewardship processes.
- Ensure transparency of ESG data lineage, traceability, and auditability for both internal and external reporting.
- Collaborate with Data Governance teams to align ESG data policies with enterprise standards.
Cross-Functional Collaboration:
- Work with Data Engineering and Architecture teams to implement models in cloud environments such as IDMC.
- Partner with Reporting, Analytics, and Sustainability teams to support dashboards, KPIs, regulatory filings, and investor-grade reporting.
- Collaborate with Risk and Compliance to support assurance, controls, and audit reviews.
QUALIFICATIONS REQUIRED
- Bachelor’s degree in Data Management, Computer Science, Information Systems, Sustainability, or related field.
- 7+ years of experience in data modeling (conceptual logical physical) in enterprise environments.
- Proven experience with master data management (MDM), metadata management, and data governance frameworks.
- Subject matter expertise in ESG reporting standards (e.g., SASB, GRI, TCFD, ISSB, CSRD).
- Strong proficiency with data modeling tools such as ERwin, ER/Studio, PowerDesigner, or SQL-based modeling tools.
- Hands-on SQL proficiency and ability to collaborate effectively with engineering teams on implementation.
MANDATORY SKILLS
Data Modelling Engineering.
Experience
5-8 Years.
COMPENSATION
The expected compensation for this role ranges from $60,000 to $135,000.
Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.
Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
LOCATION
Location- Charlotte, NC

INTRODUCTION
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world.
Position Summary
This role will serve as the strategic lead for designing, developing, and maintaining enterprise-grade data models that support ESG reporting, analytics, regulatory compliance, and operational decision-making. This role requires deep subject-matter expertise across ESG frameworks, metrics, and data taxonomies, combined with advanced data modeling skills. The Senior Data Modeler will partner closely with data engineering, ESG program leaders, risk, compliance, and business stakeholders to ensure the organization’s ESG data assets are accurate, scalable, and aligned with both internal standards and external disclosure requirements.
KEY RESPONSIBILITIES
Data Strategy Modeling:
- Design and maintain conceptual, logical, and physical data models to support ESG reporting, dashboards, and analytical products.
- Develop and implement data standards, metadata structures, lineage documentation, and governance practices specific to ESG data domains.
- Translate ESG program requirements into scalable data architectures that support reporting frameworks such as SASB, GRI, TCFD, ISSB, CSRD, and industry-specific regulatory mandates.
- Build models that enable ingestion, integration, and normalization of diverse ESG data sources, including structured operational datasets, third-party ratings, qualitative assessments, and unstructured content.
ESG Subject Matter Expertise:
- Partner with ESG leaders to understand evolving disclosure requirements and maintain alignment between data assets and regulatory obligations.
- Define and maintain ESG data taxonomies, business rules, KPIs, and calculation logic (e.g., GHG emissions, DEI metrics, governance indicators).
- Advise cross-functional teams on best practices for capturing, storing, and validating ESG data.
Data Quality Governance:
- Establish ESG data quality controls, validation rules, and stewardship processes.
- Ensure transparency of ESG data lineage, traceability, and auditability for both internal and external reporting.
- Collaborate with Data Governance teams to align ESG data policies with enterprise standards.
Cross-Functional Collaboration:
- Work with Data Engineering and Architecture teams to implement models in cloud environments such as IDMC.
- Partner with Reporting, Analytics, and Sustainability teams to support dashboards, KPIs, regulatory filings, and investor-grade reporting.
- Collaborate with Risk and Compliance to support assurance, controls, and audit reviews.
QUALIFICATIONS REQUIRED
- Bachelor’s degree in Data Management, Computer Science, Information Systems, Sustainability, or related field.
- 7+ years of experience in data modeling (conceptual logical physical) in enterprise environments.
- Proven experience with master data management (MDM), metadata management, and data governance frameworks.
- Subject matter expertise in ESG reporting standards (e.g., SASB, GRI, TCFD, ISSB, CSRD).
- Strong proficiency with data modeling tools such as ERwin, ER/Studio, PowerDesigner, or SQL-based modeling tools.
- Hands-on SQL proficiency and ability to collaborate effectively with engineering teams on implementation.
MANDATORY SKILLS
Data Modelling Engineering.
Experience
5-8 Years.
COMPENSATION
The expected compensation for this role ranges from $60,000 to $135,000.
Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.
Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
LOCATION
Location- Charlotte, NC
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Get Access To All JobsTips for Finding Data Analytics Engineer Jobs at Wipro Jobs
Align Your Portfolio to Wipro's Client Stack
Wipro's data analytics work centers on Azure, AWS, and GCP delivery for enterprise clients. Before applying, tailor your portfolio to showcase end-to-end pipeline work or BI implementations on these platforms, not just coursework or isolated scripts.
Target Wipro's Analytics Consulting Tracks Not Just IT Staffing
Wipro fills Data Analytics Engineer roles through both its staffing arm and its consulting delivery units. Roles in the consulting track often involve client-facing project work and carry stronger internal sponsorship prioritization for H-1B and Green Card pathways.
Prepare for a Multi-Round Technical Assessment
Wipro's Data Analytics Engineer interviews typically include SQL proficiency tests, a data modeling case, and a Python or Spark coding round. Having documented project outcomes, not just technical skills, helps you clear the competency-based HR round that follows.
Understand the LCA Filing Requirement Before Negotiating Offer Terms
Wipro must file a certified Labor Condition Application with DOL before your H-1B petition reaches USCIS. The LCA locks in your worksite location and prevailing wage level, so raising a relocation request after the offer stage can restart the process.
Use Migrate Mate to Find Open Roles Filtered by Sponsorship Type
Wipro posts Data Analytics Engineer roles across multiple job boards, but not all listings confirm sponsorship availability. Use Migrate Mate to browse verified openings at Wipro filtered by the visa categories relevant to your situation before you apply.
Data Analytics Engineer at Wipro jobs are hiring across the US. Find yours.
Find Data Analytics Engineer at Wipro JobsFrequently Asked Questions
Does Wipro sponsor H-1B visas for Data Analytics Engineers?
Yes, Wipro sponsors H-1B visas for Data Analytics Engineer roles. Wipro is a well-known H-1B sponsoring employer in the technology and IT services sector. Sponsorship is typically contingent on the role meeting specialty occupation requirements under USCIS standards, which Data Analytics Engineer positions generally satisfy given the degree-level technical requirements involved.
Which visa types does Wipro commonly use for Data Analytics Engineer roles?
Wipro sponsors several visa categories for Data Analytics Engineers, including H-1B, F-1 OPT, F-1 CPT, TN (for Canadian and Mexican nationals in qualifying roles), E-3 (for Australian citizens), and employment-based Green Card pathways including EB-2 and EB-3. The right category depends on your nationality, current status, and where you are in your career.
How do I apply for Data Analytics Engineer jobs at Wipro?
You can apply through Wipro's careers portal or through job boards that list their open roles. Before applying, confirm that the specific listing supports visa sponsorship for your category, as not every posting makes this explicit. Migrate Mate aggregates Wipro's Data Analytics Engineer openings and filters them by sponsorship type, which makes it easier to find roles suited to your visa situation.
What qualifications does Wipro expect for Data Analytics Engineer candidates?
Wipro generally looks for a bachelor's degree or higher in computer science, information systems, engineering, or a related technical field. Hands-on experience with SQL, Python, cloud data platforms such as Azure or AWS, and BI tools like Power BI or Tableau is expected. For H-1B sponsorship purposes, the role must qualify as a specialty occupation under USCIS criteria, so a directly related degree field strengthens your petition.
How do I understand the timeline from offer to starting work on an H-1B at Wipro?
The H-1B process involves multiple sequential steps: Wipro files a Labor Condition Application with DOL, then submits your I-129 petition to USCIS. Cap-subject H-1B petitions are tied to the April lottery, with an October 1 start date. Premium processing through USCIS can reduce adjudication time to 15 business days, but the lottery itself cannot be expedited. Plan for a gap of several months between offer and start date.
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