Data Engineer - Data Platform (Spark/Kafka/Flink/Scala/Java) - Onsite Hybrid

NTT DATA, Inc.; Dallas (TX); On-site; USD 96,000 - 145,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

HSA/FSA

Life insurance

Disability coverage

PTO

Employee assistance

401k with match

Job summary

NTT DATA is seeking a Data Engineer - Data Platform (Spark/Kafka/Flink/Scala/Java) for a Dallas, TX team on an onsite-hybrid model. The role focuses on building next-gen, cloud-native data platforms powering real-time and batch data movement at enterprise scale.

You will design streaming and batch frameworks, develop Spark/Flink/Kafka processing engines, and lead cloud migrations to Azure with Kubernetes. Strong distributed-systems background and CI/CD practice are essential.

Qualifications

• 8+ years of software/data engineering experience.
• 5+ years with Apache Spark for batch and streaming processing.
• 5+ years with Apache Kafka for real-time data streaming.
• 3+ years with Apache Flink for stream processing.
• 5+ years with Java and/or Scala.
• 5+ years writing complex SQL queries and optimizing DB performance.
• 3+ years with Kubernetes and containerized deployment.
• 3+ years building on Microsoft Azure Cloud.
• 3+ years building distributed data platforms with Cassandra, YugabyteDB, PostgreSQL, or similar databases.
• 3+ years building event-driven architectures and streaming apps.
• 2+ years implementing CI/CD pipelines and deployment automation.
• 2+ years cloud-native deployment patterns and platform automation.

Responsibilities

• Design, develop, and support scalable real-time and batch data pipelines using Spark, Flink, Kafka, and Airflow.
• Build and enhance metadata-driven self-service data platforms and reusable connectors.
• Develop and maintain source and target connectors for relational databases, file systems, Kafka, Cassandra, YugabyteDB, and other data stores.
• Design, deploy, and operate Kubernetes-based streaming and batch processing platforms.
• Lead cloud migration initiatives to Microsoft Azure.
• Drive performance tuning, scalability optimization, reliability improvements, and operational excellence.
• Develop cloud-native solutions supporting enterprise data movement and processing.
• Collaborate with product owners, architects, cloud engineering teams, and stakeholders to deliver enterprise-scale data solutions.
• Contribute to platform modernization, automation, CI/CD implementation, and engineering best practices.
• Support troubleshooting, production stability, and continuous improvement initiatives for critical data platforms.

Skills

Spark

Kafka

Flink

Scala

Java

SQL

Kubernetes

Azure

CI/CD

GitHub

GitLab

Distributed systems

Data pipelines

Airflow

Cloud migration

Education

Bachelor's degree

Tools

Airflow

Cassandra

YugabyteDB

PostgreSQL

Kubernetes

Job description

We are currently seeking a Data Engineer - Data Platform (Spark/Kafka/Flink/Scala/Java) - Onsite Hybrid to join our team in Dallas, Texas (US-TX), United States (US).

Join a team building next-generation, cloud-native data platforms powering real-time and batch data movement at enterprise scale. You will design and develop streaming and batch frameworks, Kafka/Flink/Spark-based processing engines, and cloud-native solutions on Azure and Kubernetes. Ideal candidates have strong distributed systems experience and a passion for platform engineering, automation, and data modernization.

Job Responsibilities Include:

• Design, develop, and support scalable real-time and batch data pipelines using Apache Spark, Apache Flink, Apache Kafka, and Airflow.
• Build and enhance metadata-driven self-service
• data integration platforms and reusable connectors.
• Develop and maintain source and target connectors for relational databases, file systems, Kafka, Cassandra, YugabyteDB, and other enterprise data stores.
• Design, deploy, and operate Kubernetes-based streaming and batch processing platforms.
• Lead cloud migration initiatives from on-premise environments to Microsoft Azure.
• Drive performance tuning, scalability optimization, reliability improvements, and operational excellence across large-scale data workloads.
• Develop cloud-native solutions supporting enterprise data movement and processing.
• Collaborate with product owners, architects, cloud engineering teams, and business stakeholders to deliver enterprise-scale data solutions.
• Contribute to platform modernization, automation, CI/CD implementation, and engineering best practices.
• Support troubleshooting, production stability, and continuous improvement initiatives for critical data platforms.

Basic Qualifications:

• Minimum 8+ years of overall Software Engineering or Data Engineering experience.
• Minimum 5+ years of hands‑on experience with Apache Spark for large-scale batch and streaming data processing.
• Minimum 5+ years of hands‑on experience with Apache Kafka including event-driven architectures and real-time data streaming solutions.
• Minimum 3+ years of hands‑on experience with Apache Flink for stream processing and real-time analytics workloads.
• Minimum 5+ years of experience developing applications using Java and/or Scala.
• Minimum 5+ years of experience writing complex SQL queries and optimizing database performance.
• Minimum 3+ years of experience with Kubernetes and containerized application deployment.
• Minimum 3+ years of experience designing and implementing solutions on Microsoft Azure Cloud.
• Minimum 3+ years of experience building and supporting distributed data platforms using Cassandra, YugabyteDB, PostgreSQL, or similar databases.
• Minimum 3+ years of experience building event-driven architectures and streaming applications.
• Minimum 2+ years of experience implementing CI/CD pipelines, source control, and deployment automation using GitLab, GitHub, or similar tools.
• Minimum 2+ years of experience with cloud-native deployment patterns, containerization, and platform automation.

Travel:

Minimal travel required. Travel may be necessary based on project and stakeholder requirements.

Degree:

Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent work experience.

Preferred Skills:

• Demonstrated experience in performance tuning, troubleshooting, and supporting mission-critical data platforms.
• Experience with Apache Airflow orchestration.
• Experience with metadata-driven data platforms and self-service ingestion frameworks.
• Experience with enterprise cloud migration and modernization programs.
• Experience with platform engineering and internal developer platforms.
• Experience leading technical initiatives, mentoring engineers, or serving as a technical lead.
• Knowledge of DevSecOps, infrastructure as code, and observability frameworks.

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $96,492 - $144,738 per annum. Actual compensation will depend on a number of factors, including the candidate’s relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.

• medical, dental, and vision insurance with an employer contribution
• flexible spending or health savings account
• lifeand AD&D insurance
• short and long term disability coverage
• paid time off
• employee assistance
• participation in a 401k program with company match
• additional voluntary or legally-required benefits

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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.

Nearest Major Market: Dallas
Nearest Secondary Market: Fort Worth
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