Data Engineer Jobs at NTT DATA with Visa Sponsorship
NTT DATA hires Data Engineers across cloud infrastructure, analytics, and enterprise data platform projects, working with clients across financial services, healthcare, and government. The company has an established visa sponsorship process for this function, supporting a range of work visa categories for qualified candidates.
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Get Access To All JobsINTRODUCTION
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Data Engineer (On-Site Dallas) to join our team in Dallas, Texas (US-TX), United States (US). This role will be on-site 5 days/week.
ROLE AND RESPONSIBILITIES
Day to Day job Duties:
- Engineer will be part of the datastore-migration Factory team responsible for end-to-end datastore migration from on-prem DataLake to AWS hosted LakeHouse. This is a high visibility and crucial project.
- Refactoring and migrating extraction logic and job scheduling from legacy frameworks to the new Lakehouse environment.
- Executing the physical migration of underlying datasets while ensuring data integrity.
- Acting as a technical liaison to internal clients, facilitating handoff and sign-off conversations with data owners.
- Translating and optimizing legacy SQL and Spark-based consumption patterns for compatibility with Snowflake and Iceberg.
- Understanding usage patterns to deliver the required data products.
- Working on data reconciliation frameworks to ensure migrated data is functionally equivalent to production data.
- Working with internal data management platforms and learning new workflows and language constructs as necessary.
- Core Data Engineering Competencies:
- Temporal Data Modeling: Managing state changes over time (e.g., SCD Type 2).
- Schema Management: Expertise in Schema Evolution (Apache Iceberg) and enforcement strategies.
- Performance Optimization: Knowledge of data partitioning and clustering.
- Architectural Theory: Balancing normalization vs denormalization and natural vs surrogate keys.
- Extraction Logic: Kafka, ANSI SQL, FTP, Apache Spark.
- Data Formats: JSON, Avro, Parquet.
- Platforms: Hadoop (HDFS/Hive), Snowflake, Apache Iceberg, Sybase IQ.
- Demonstrates strong integrity and ethical decision-making.
- Acts as a trusted team player collaborating across teams.
- Communicates with clarity and confidence.
- Works effectively with global teams.
- Delivery-focused with strong ownership.
- High energy and urgency with professionalism.
- Shows intellectual curiosity and continuous improvement.
BASIC QUALIFICATIONS
- Education: Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, Engineering, or related field.
- Experience: Minimum 3–5 years of hands-on coding experience; ability to troubleshoot SQL and basic scripting.
- 3+ Years of Professional proficiency in Python or Java.
- 3+ Years of experience with SDLC, CI/CD best practices and Kubernetes (K8s) deployment experience.
PREFERRED QUALIFICATIONS
- Migration experience.
- Financial services domain.
- Lakehouse experience.
ABOUT NTT DATA
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form.
NTT DATA endeavors to make its website accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.
NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
INTRODUCTION
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Data Engineer (On-Site Dallas) to join our team in Dallas, Texas (US-TX), United States (US). This role will be on-site 5 days/week.
ROLE AND RESPONSIBILITIES
Day to Day job Duties:
- Engineer will be part of the datastore-migration Factory team responsible for end-to-end datastore migration from on-prem DataLake to AWS hosted LakeHouse. This is a high visibility and crucial project.
- Refactoring and migrating extraction logic and job scheduling from legacy frameworks to the new Lakehouse environment.
- Executing the physical migration of underlying datasets while ensuring data integrity.
- Acting as a technical liaison to internal clients, facilitating handoff and sign-off conversations with data owners.
- Translating and optimizing legacy SQL and Spark-based consumption patterns for compatibility with Snowflake and Iceberg.
- Understanding usage patterns to deliver the required data products.
- Working on data reconciliation frameworks to ensure migrated data is functionally equivalent to production data.
- Working with internal data management platforms and learning new workflows and language constructs as necessary.
- Core Data Engineering Competencies:
- Temporal Data Modeling: Managing state changes over time (e.g., SCD Type 2).
- Schema Management: Expertise in Schema Evolution (Apache Iceberg) and enforcement strategies.
- Performance Optimization: Knowledge of data partitioning and clustering.
- Architectural Theory: Balancing normalization vs denormalization and natural vs surrogate keys.
- Extraction Logic: Kafka, ANSI SQL, FTP, Apache Spark.
- Data Formats: JSON, Avro, Parquet.
- Platforms: Hadoop (HDFS/Hive), Snowflake, Apache Iceberg, Sybase IQ.
- Demonstrates strong integrity and ethical decision-making.
- Acts as a trusted team player collaborating across teams.
- Communicates with clarity and confidence.
- Works effectively with global teams.
- Delivery-focused with strong ownership.
- High energy and urgency with professionalism.
- Shows intellectual curiosity and continuous improvement.
BASIC QUALIFICATIONS
- Education: Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, Engineering, or related field.
- Experience: Minimum 3–5 years of hands-on coding experience; ability to troubleshoot SQL and basic scripting.
- 3+ Years of Professional proficiency in Python or Java.
- 3+ Years of experience with SDLC, CI/CD best practices and Kubernetes (K8s) deployment experience.
PREFERRED QUALIFICATIONS
- Migration experience.
- Financial services domain.
- Lakehouse experience.
ABOUT NTT DATA
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form.
NTT DATA endeavors to make its website accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.
NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
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Get Access To All JobsTips for Finding Data Engineer Jobs at NTT DATA Jobs
Align your stack with NTT DATA's client delivery
NTT DATA's Data Engineer roles are built around client-facing delivery, not internal tooling. Highlight experience with cloud-native pipelines (AWS, Azure, GCP), ETL orchestration, and enterprise data warehousing so your resume maps directly to their project portfolio.
Target roles specifying H-1B or LCA language
NTT DATA lists visa sponsorship availability directly in many job postings. Filter for Data Engineer roles that reference H-1B or Labor Condition Application eligibility, which signals active sponsorship budget and an established filing process for that position.
Prepare a degree equivalency brief for three-year degrees
NTT DATA's H-1B petitions require USCIS to confirm specialty occupation status. If your engineering degree is a three-year qualification, prepare a credential evaluation from a NACES-approved evaluator before the offer stage to avoid delays in LCA or I-129 filing.
Use Migrate Mate to filter NTT DATA openings by visa type
NTT DATA posts Data Engineer roles across multiple business units with varying sponsorship scope. Use Migrate Mate to filter open positions by visa category so you only pursue roles where your specific status, whether H-1B, E-3, or TN, is actively supported.
Negotiate offer timing around the H-1B cap calendar
If you need cap-subject H-1B sponsorship, NTT DATA must register you in USCIS's March lottery window. Structure your offer acceptance and start date discussions with this in mind, since a September 1 employment start is the earliest possible date for cap-subject approvals.
Data Engineer at NTT DATA jobs are hiring across the US. Find yours.
Find Data Engineer at NTT DATA JobsFrequently Asked Questions
Does NTT DATA sponsor H-1B visas for Data Engineers?
Yes, NTT DATA sponsors H-1B visas for Data Engineer roles. As a large federal contractor, the company has an established sponsorship process and files Labor Condition Applications with the DOL for qualifying positions. Sponsorship availability can vary by business unit and project, so check individual job postings for confirmation before applying.
Which visa types does NTT DATA commonly sponsor for Data Engineer roles?
NTT DATA supports multiple visa categories for Data Engineers, including H-1B, E-3 for Australian citizens, TN for Canadian and Mexican nationals, and F-1 OPT and CPT for students. For candidates seeking permanent residence, the company also has experience with PERM-based EB-2 and EB-3 immigrant visa pathways. The right category depends on your nationality and current immigration status.
What qualifications and experience does NTT DATA expect for Data Engineer roles?
NTT DATA's Data Engineer positions typically require proficiency in cloud platforms such as AWS, Azure, or GCP, along with hands-on experience in SQL, Python, and data pipeline tools like Apache Spark or dbt. A bachelor's degree in computer science, information systems, or a related field is the standard baseline, and prior experience on enterprise or client-facing projects strengthens your profile significantly.
How do I apply for Data Engineer jobs at NTT DATA?
You can apply through NTT DATA's careers portal or use Migrate Mate to browse their open Data Engineer roles filtered by visa sponsorship type. Before applying, confirm the posting references sponsorship eligibility for your status. Tailor your resume to the specific tech stack mentioned in the job description, since NTT DATA hiring teams assess candidates against client project requirements.
How do I time my application if I need H-1B sponsorship through NTT DATA?
USCIS opens H-1B registration each March for the annual cap, with approved petitions taking effect October 1. If you need cap-subject sponsorship, target Data Engineer roles at NTT DATA in Q1 so there's time to complete offer negotiations, file a Labor Condition Application with the DOL, and submit your H-1B registration before the window closes.
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