Senior Data Engineer – AWS, Python
Job Description
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 is a full-lifecycle product development services leader that combines chip-to-cloud software engineering expertise and vertical industry experience to help our customers design, build, and deliver their next-generation products and digital experiences. We expertly integrate design, complex engineering, and agile delivery capabilities to deliver superior business outcomes for global brands in telecom, automotive, healthcare, technology, media and entertainment, manufacturing, and semiconductor industries.
Headquartered in Silicon Valley, GlobalLogic employs over 25,000 designers and engineers across the globe. Analysts like NASSCOM and Zinnov have recognized us for being a top company in our field, and we are consistently nominated as a preferred employer by both global HR consultative firms and local job boards. By creating a work environment that is exciting and flexible, and by fostering growth through ongoing learning and development programs, we empower our employees to achieve both their professional and personal goals.
At GlobalLogic, we make amazing products — and careers.