Senior Data Engineer – AWS, Python IRC308780

GlobalLogic Inc.; Charlotte (NC); On-site; USD 110,000 - 120,000; Full time

Benefits offered by this job

Exciting projects

Collaborative culture

Work-life balance

Professional development

Excellent benefits

Job summary

GlobalLogic is seeking a Senior Data Engineer in Charlotte, NC to design and optimize data pipelines, APIs, and backend services. You will leverage PySpark, Python, Java, and AWS tools to deliver scalable data solutions for enterprise clients.

The role emphasizes API integration, AI-enabled workflows, and production-grade data processing with strong collaboration across data engineers, developers, and data scientists. Onsite in Charlotte with competitive benefits.

Qualifications

• 8+ years of relevant experience in data engineering, backend development, or software engineering with hands-on development experience.
• AWS data and cloud services experience including S3, Glue, EMR, Lambda, Redshift.
• Proven production-grade API/backend development using Java with RESTful design and integration patterns.
• Strong Python skills with reusable modules and backend components.
• Hands-on PySpark and distributed data processing for scalable transformations.
• Proficient SQL with complex queries and optimization.
• Strong OOP, data structures, and maintainable architecture understanding.
• Exposure to MCP, LLMs, generative AI, or AI API integration.
• Experience with API testing, authentication, authorization, and CI/CD.

Responsibilities

• Design, develop, and optimise scalable data pipelines using Python, PySpark, and SQL.
• Develop and maintain production-grade APIs and backend services in Java and Python.
• Build RESTful APIs and microservices to support data-driven apps and enterprise integrations.
• Utilise AWS services (S3, Glue, EMR, Lambda, Redshift) for scalable data solutions.
• Work with MCP, LLMs, and generative AI to integrate AI-enabled workflows.
• Write reusable, maintainable code using OOP and design patterns.
• Create and optimize complex SQL for large-scale ETL/ELT processes.
• Collaborate with data engineers, developers, architects, data scientists, and stakeholders.
• Troubleshoot issues across APIs, data pipelines, and cloud apps; participate in code reviews and CI/CD.

Skills

PySpark

AWS

Java

Python

RESTful API design

CI/CD

Git

LLMs / MCP

Tools

S3

Glue

EMR

Redshift

API design principles

RESTful services

Job description

Function

IT, Telecom & Internet

Experience

10-15 years

Location

United States - Charlotte NC

Skills

Python & SQL: Advanced Python (PySpark, API Design Principles, AWS, AWS Glue, AWS Lambda, AWS Redshift, CI/CD AWS, EHR/EMR Platforms, GitHub, Java, LLM, Model Context Protocol (MCP), RESTful API best practices, S3)

Hitachi Digital (Formerly GlobalLogic) estimates the starting base salary for the Senior Data Engineer in Charlotte, NC to be between $110,000 to $120,000 and reflects base salary only and does not include additional performance-linked variable compensation, benefits etc that may be applicable for the role. This pay range is provided as a good faith estimate and the amount offered may be higher or lower. GlobalLogic takes many factors into consideration in making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations.

Requirements

• 8+ years of relevant experience in data engineering, backend development, or software engineering, with demonstrated hands-on development experience.
• Strong hands-on experience with AWS data and cloud services, including services such as S3, Glue, EMR, Lambda, and Redshift.
• Proven experience developing and maintaining production-grade APIs and backend services using Java, with a strong understanding of RESTful API design, integration patterns, and error handling.
• Strong programming skills in Python, with hands-on experience building reusable modules, backend components, or API integrations.
• Hands-on experience with PySpark and distributed data processing, including developing scalable data transformations and optimising data pipelines.
• Proficiency in SQL, including complex queries, data transformations, and query performance optimisation.
• Strong understanding of object-oriented programming, software design principles, data structures, and maintainable application architecture.
• Practical exposure to MCP, LLMs, generative AI, or AI application integration, with an understanding of how AI capabilities can be integrated into APIs and enterprise workflows.
• Experience with API testing, debugging, authentication and authorisation, and application integration.
• Familiarity with Git, CI/CD pipelines, automated testing, and Agile development practices.
• Strong problem-solving, communication, and collaboration skills, with the ability to work independently on complex technical requirements.

Job responsibilities

• Design, develop, and optimise scalable data pipelines and data processing workflows using Python, PySpark, and SQL.
• Develop, enhance, and maintain production-grade APIs and backend services using Java and Python, with a strong focus on API design, integration, performance, and reliability.
• Build and integrate RESTful APIs and microservices to support data-driven applications and enterprise integrations.
• Leverage AWS services such as S3, Glue, EMR, Lambda, Redshift, and other relevant cloud-native services to build and manage scalable data engineering solutions.
• Work with Model Context Protocol (MCP), Large Language Models (LLMs), and generative AI technologies to develop or integrate AI-enabled applications and workflows.
• Implement reusable, maintainable, and scalable code using object-oriented programming principles, design patterns, and established engineering best practices.
• Write and optimise complex SQL queries and implement efficient ETL/ELT processes for large-scale data transformations.
• Collaborate with data engineers, application developers, architects, data scientists, and business stakeholders to translate requirements into robust technical solutions.
• Troubleshoot and resolve issues across APIs, data pipelines, integrations, and cloud-based applications.
• Participate in code reviews, automated testing, CI/CD implementation, performance tuning, and production support while adhering to engineering standards.

What we offer

Exciting Projects:Come take your place at the forefront of digital transformation! With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies.

Collaborative Environment: You can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment - or even abroad in one of our global centers or client facilities!

Work-Life Balance:GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules and opportunities to work from home.

Professional Development:We provide continuing education classes, professional certification and training (technical, soft skills, language, and communication skills) to help you realize your professional goals. Being part of a global organization, there are additional learning opportunities through international knowledge exchanges.

Excellent Benefits:We provide our employees with competitive salaries, health and life insurance, short-term and long-term disability insurance, a matched contribution 401K plan, flexible spending accounts, and PTO and holidays

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.