Job description

Description GlobalLogic estimates the starting base salary for the remote Senior Data Engineer position in the USA to be between $120000 to $130000 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 Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field; equivalent relevant experience may be considered. Experience building and maintaining data pipelines using Python, Java, Scala, or similar programming languages. Strong SQL skills and experience with relational and analytical databases. Experience with Apache Spark and distributed data-processing frameworks. Experience with cloud data platforms, preferably Google Cloud Platform and BigQuery or Azure Synapse. Experience with orchestration tools such as Apache Airflow. Knowledge of software development best practices, including version control, testing, CI/CD, and Agile delivery. Demonstrated, hands-on experience using approved AI coding tools on a day-to-day basis to develop, test, debug, document, and improve software and data pipelines; able to critically validate AI-generated output for accuracy, security, privacy, and maintainability. High-level knowledge of AI architecture and the AI application lifecycle, including foundation models, prompts and context, retrieval-augmented generation, tool or agent integration, evaluation, observability, governance, and responsible-use considerations. Able to explain why an AI-assisted approach is appropriate for a given engineering problem and when it is not. Highly self-driven and accountable, with the ability to independently clarify goals, prioritize work, make sound technical decisions, and deliver outcomes with minimal day-to-day direction from leadership. Proactively identifies risks, opportunities, and needed stakeholder alignment. Job responsibilities Design, build, test, deploy, and support batch and streaming data pipelines. Integrate data from databases, files, APIs, event streams, and cloud platforms. Develop scalable transformations and curated datasets using SQL, Spark, and cloud data services. Collaborate with product owners, analysts, and business partners to translate requirements into technical solutions. Implement data-quality checks, monitoring, alerting, security controls, and performance optimizations. Participate in Agile ceremonies, provide delivery updates, and contribute to end-to-end feature ownership. Use approved AI-assisted engineering tools in day-to-day development to accelerate coding, testing, documentation, troubleshooting, and process improvement, while validating outputs for accuracy, security, privacy, and maintainability. Identify and implement practical AI-enabled automation opportunities that improve data-engineering productivity, quality, and delivery speed. Troubleshoot production issues and improve pipeline reliability, maintainability, and cost efficiency. Document data flows, technical designs, dependencies, and operational procedures. 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.

Requirements

Must-haves

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field; equivalent relevant experience may be considered.
Experience building and maintaining data pipelines using Python, Java, Scala, or similar programming languages.
Strong SQL skills and experience with relational and analytical databases.
Experience with Apache Spark and distributed data-processing frameworks.
Experience with cloud data platforms, preferably Google Cloud Platform and BigQuery or Azure Synapse.
Experience with orchestration tools such as Apache Airflow.
Knowledge of software development best practices, including version control, testing, CI/CD, and Agile delivery.
Design, build, test, deploy, and support batch and streaming data pipelines.
Integrate data from databases, files, APIs, event streams, and cloud platforms.
Develop scalable transformations and curated datasets using SQL, Spark, and cloud data services.
Collaborate with product owners, analysts, and business partners to translate requirements into technical solutions.
Implement data-quality checks, monitoring, alerting, security controls, and performance optimizations.
Participate in Agile ceremonies, provide delivery updates, and contribute to end-to-end feature ownership.
Identify and implement practical AI-enabled automation opportunities that improve data-engineering productivity, quality, and delivery speed.
Troubleshoot production issues and improve pipeline reliability, maintainability, and cost efficiency.
Document data flows, technical designs, dependencies, and operational procedures.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonjavasqlazureci/cdagileai

Platform: globallogic
Effort: medium

Benefits

Benefits detected in the listing.

401k

Pto

Professional Development