{"schemaVersion":"jobsearcher.job.v1","id":"c7aab28630c4fc4fb1ba0cb2","url":"https://jobsearcher.com/jobs/c7aab28630c4fc4fb1ba0cb2","canonicalUrl":"https://jobsearcher.com/jobs/c7aab28630c4fc4fb1ba0cb2","title":"Data Engineer","description":"Req ID:377910NTT 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 to join our team in San Diego, California (US-CA), United States (US).Day to Day Responsibilities:Design, build, and maintain scalable data pipelines and ETL workflows to support machine learning and analytics use cases.Develop and optimize data ingestion, transformation, and storage architectures using cloud-native technologies.Collaborate with data scientists and ML engineers to operationalize machine learning models and integrate them into production systems.Build and maintain feature engineering pipelines and ensure high-quality, reliable datasets for model training and inference.Enable teams to run automated ML pipelines and data workflows with strong monitoring and observability.Establish data engineering best practices, standards, and governance for scalable and reusable systems.Implement and manage CI/CD pipelines (Azure DevOps/Git) for data workflows and ML deployments.Ensure data quality, integrity, and security through validation, lineage tracking, and auditing processes.Optimize performance of data platforms using distributed processing frameworks and optimization techniques.Provide technical leadership by mentoring junior engineers and documenting architecture, pipelines, and design patterns.Work closely with cross-functional teams in an Agile environment to deliver robust data solutions.Minimum Requirements: 5+ years of experience in data engineering or ML data engineering5+ years of programming skills in Python (preferred) or C/C++Minimum 1+ years hands-on experience with AWS services, especially:AWS Sagemaker (model integration)AWS Lambda, API Gateway, AmplifyAWS Serverless architectureAWS Cognito & Security3+ years of experience designing and managing data pipelines using tools/frameworks (e.g., Spark, Airflow, Glue, Kafka)3+ years of experience with data modeling, data warehousing, and storage systems (SQL/NoSQL)3+ years of experience debugging complex issues in distributed systems and data workflowsFamiliarity with containerization and orchestration (Docker, Kubernetes)Exposure to machine learning lifecycle and MLOps practicesStrong understanding of object-oriented design and scalable system architectureExperience working in Agile teams and cross-functional collaborationExcellent documentation and communication skillsNice to have: Experience with ML frameworks (TensorFlow, PyTorch) for integration/productionizationKnowledge of feature stores and model serving architecturesExperience with distributed systems and big data technologies (Spark, Hadoop)Familiarity with data governance, data quality, and lineage toolsKnowledge of stream processing systems (Kafka, Kinesis)Exposure to CI/CD for data and ML pipelines (MLOps)Programming experience in Python / Scala / Shell scriptingUnderstanding of neural networks (CNNs, RNN/LSTMs) from a deployment/integration perspectiveKnowledge of reinforcement learning and advanced ML techniques (nice-to-have)AWS Certification (e.g., Data Analytics, Machine Learning, or Solutions Architect)About NTT DATANTT 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, @nttdatafed.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 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 at . 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.Posting Date:Department:Program & Project Mgmt - 1121110011","company":"NTT Data","rawCompany":"ntt data","city":"San Diego","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-08-19T04:37:23.029Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"Req ID:377910NTT 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 to join our team in San Diego, California (US-CA), United States (US).Day to Day Responsibilities:Design, build, and maintain scalable data pipelines and ETL workflows to support machine learning and analytics use cases.Develop and optimize data ingestion, transformation, and storage architectures using cloud-native technologies.Collaborate with data scientists and ML engineers to operationalize machine learning models and integrate them into production systems.Build and maintain feature engineering pipelines and ensure high-quality, reliable datasets for model training and inference.Enable teams to run automated ML pipelines and data workflows with strong monitoring and observability.Establish data engineering best practices, standards, and governance for scalable and reusable systems.Implement and manage CI/CD pipelines (Azure DevOps/Git) for data workflows and ML deployments.Ensure data quality, integrity, and security through validation, lineage tracking, and auditing processes.Optimize performance of data platforms using distributed processing frameworks and optimization techniques.Provide technical leadership by mentoring junior engineers and documenting architecture, pipelines, and design patterns.Work closely with cross-functional teams in an Agile environment to deliver robust data solutions.Minimum Requirements: 5+ years of experience in data engineering or ML data engineering5+ years of programming skills in Python (preferred) or C/C++Minimum 1+ years hands-on experience with AWS services, especially:AWS Sagemaker (model integration)AWS Lambda, API Gateway, AmplifyAWS Serverless architectureAWS Cognito & Security3+ years of experience designing and managing data pipelines using tools/frameworks (e.g., Spark, Airflow, Glue, Kafka)3+ years of experience with data modeling, data warehousing, and storage systems (SQL/NoSQL)3+ years of experience debugging complex issues in distributed systems and data workflowsFamiliarity with containerization and orchestration (Docker, Kubernetes)Exposure to machine learning lifecycle and MLOps practicesStrong understanding of object-oriented design and scalable system architectureExperience working in Agile teams and cross-functional collaborationExcellent documentation and communication skillsNice to have: Experience with ML frameworks (TensorFlow, PyTorch) for integration/productionizationKnowledge of feature stores and model serving architecturesExperience with distributed systems and big data technologies (Spark, Hadoop)Familiarity with data governance, data quality, and lineage toolsKnowledge of stream processing systems (Kafka, Kinesis)Exposure to CI/CD for data and ML pipelines (MLOps)Programming experience in Python / Scala / Shell scriptingUnderstanding of neural networks (CNNs, RNN/LSTMs) from a deployment/integration perspectiveKnowledge of reinforcement learning and advanced ML techniques (nice-to-have)AWS Certification (e.g., Data Analytics, Machine Learning, or Solutions Architect)About NTT DATANTT 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, @nttdatafed.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 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 at . 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.Posting Date:Department:Program & Project Mgmt - 1121110011","datePosted":"2026-08-19T04:37:23.029Z","dateModified":"2026-08-19T04:37:23.029Z","hiringOrganization":{"@type":"Organization","name":"NTT Data","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Diego","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c7aab28630c4fc4fb1ba0cb2"},"url":"https://jobsearcher.com/jobs/c7aab28630c4fc4fb1ba0cb2"}}