Cloud Data Engineer Jobs at NTT DATA with Visa Sponsorship
NTT DATA hires Cloud Data Engineers to build and manage large-scale data infrastructure across cloud platforms for enterprise clients. The company has a consistent record of sponsoring work visas for this function, making it a realistic target if you're on H-1B, E-3, OPT, or TN status.
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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.

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 Cloud Data Engineer Jobs at NTT DATA Jobs
Tailor your resume to NTT DATA's delivery model
NTT DATA staffs Cloud Data Engineers on client-facing engagements, so hiring managers look for experience with multi-cloud environments and data pipeline delivery at scale. Highlight Azure, AWS, or GCP certifications alongside project delivery outcomes, not just tool familiarity.
Time OPT applications around NTT DATA's hiring cycles
NTT DATA recruits Cloud Data Engineers on a rolling basis, but STEM OPT extension requests take up to 90 days with USCIS. Submit your I-765 well before your initial OPT expires to avoid a gap that could delay your start date on a signed offer.
Use Migrate Mate to surface open Cloud Data Engineer roles
NTT DATA posts Cloud Data Engineer openings across multiple locations and client verticals. Use Migrate Mate to filter specifically for roles that match your visa category so you're only spending time on positions where sponsorship is already confirmed.
Prepare credentials that map to specialty occupation requirements
USCIS evaluates H-1B petitions against a specialty occupation standard, meaning your degree field must align with the Cloud Data Engineer job duties. A transcript evaluation from a NACES-accredited body strengthens your petition if your degree is from outside the U.S.
Cloud Data Engineer at NTT DATA jobs are hiring across the US. Find yours.
Find Cloud Data Engineer at NTT DATA JobsFrequently Asked Questions
Does NTT DATA sponsor H-1B visas for Cloud Data Engineers?
Yes, NTT DATA sponsors H-1B visas for Cloud Data Engineers. The company files petitions on behalf of qualifying candidates, covering the Labor Condition Application with the DOL and the I-129 petition with USCIS. Because H-1B is subject to the annual cap and lottery, timing your offer and petition filing with NTT DATA's recruitment cycle matters significantly.
Which visa types does NTT DATA commonly sponsor for Cloud Data Engineer roles?
NTT DATA sponsors H-1B, E-3, TN, F-1 OPT, and F-1 CPT for Cloud Data Engineer positions. Australian citizens can pursue the E-3, which bypasses the H-1B lottery entirely. Canadian and Mexican nationals may qualify under TN. F-1 students on OPT or CPT can work before transitioning to a longer-term sponsored category.
How do I apply for Cloud Data Engineer jobs at NTT DATA?
You can apply directly through NTT DATA's careers site or find open roles filtered by visa type on Migrate Mate. When you apply, be upfront about your work authorization status in your application. NTT DATA's recruiting team uses that information early to determine sponsorship eligibility and align your start date with petition filing timelines.
What qualifications does NTT DATA expect for Cloud Data Engineer roles?
NTT DATA typically expects a bachelor's degree in computer science, information systems, or a closely related field. Hands-on experience with cloud platforms such as AWS, Azure, or GCP is core, along with proficiency in data pipeline tools, SQL, and at least one scripting language like Python or Scala. Client-facing project experience strengthens your application significantly.
How long does the visa sponsorship process take for a Cloud Data Engineer offer at NTT DATA?
Timeline depends on visa type. H-1B standard processing can take three to six months after USCIS receives the petition, though premium processing reduces this to around two to three weeks. E-3 consular processing in Australia typically takes two to four weeks from interview. TN can be obtained at the border on the same day as your offer start, making it one of the fastest paths for eligible candidates.
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