About
Data Engineering is responsible for the design, delivery, support, and maintenance of industrialized automated end‑to‑end data services and pipelines. They apply standardized data models and mapping to ensure data is accessible for end users in end‑to‑end user tools through use of APIs. They define and embed best practices and ensure compliance with Quality Management practices and alignment to automated data governance. They also acquire and process internal and external, structured and unstructured data in line with product requirements.
Key Responsibilities
Designs, builds, and operates data tools, services, workflows, etc that deliver high value through the solution to key business problems by leveraging modern data engineering tools (e.g. Spark, Kafka, Storm, ...) and orchestration tools (e.g. Google Workflow, AirFlow Composer)
Confidently optimizes design and execution of complex solutions in data ingestion and data transformation
Enables data products optimized for AI/ML and GenAI workloads – high throughput, observable, feature‑ready and governed
Produces well‑engineered software, including appropriate automated test suites, technical documentation, and operational strategy
Implements modular, reusable components and microservices that accelerate development and reduce operational overhead
Provides input into the roadmaps of upstream teams (e.g. Data Platforms, DataOps, DevOps) to help improve the overall program of work
Ensures consistent application of platform abstractions to ensure quality and consistency with respect to logging and lineage
Fully versed in coding best practices and ways of working, and participates in code reviews and partnering to improve the team’s standards
Adheres to QMS framework and CI/CD best practices and helps to guide improvements to them that improve ways of working
Provides technical leadership, code reviews, architectural guidance, and mentorship to junior engineers and serves as an escalation point for complex operational issues across pipeline and data services.
Basic Qualifications
PhD + 2 years, Masters + 4 years or a Bachelor's degree with 6+ years of Data engineering experience in industry
Software engineering experience
Experience overcoming high volume, high compute challenges
Familiarity with orchestrating tooling
Cloud experience
Experience in automated testing and design
Experience with DevOps‑forward ways of working
Preferred Qualifications
Deep knowledge and use of at least one common programming language: e.g., Python, Scala, Java, including toolchains for documentation, testing, and operations / observability
Deep expertise in modern software development tools / ways of working (e.g. git/GitHub, devops tools, metrics / monitoring, ...)
Cloud experience (e.g., AWS, Google Cloud, Azure, Kubernetes), including infrastructure‑as‑code
Application experience of CI/CD implementations using git and a common CI/CD stack (e.g. Jenkins, CircleCI, GitLab, Azure DevOps)
Demonstrated excellence with agile software development environments using tools like Jira and Confluence
Deep familiarity with the tools, techniques, etc of modern data engineering (e.g. Spark, Kafka, Storm, ...) and orchestration (e.g. Google Workflow, AirFlow Composer), including engagement with the open source community (and potentially making contributions to such tools)
Strong experience in data modelling, database concepts and SQL
Prior experience building GenAI‑related pipelines (embeddings, RAG, LLM data prep, scalable inference data flows)
Salary and Benefits
If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $136,950 to $228,250.
The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role.
In addition, this position offers an annual bonus and eligibility to participate in our share‑based long‑term incentive program which is dependent on the level of the role.
Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave.
If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process.
Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.
Why GSK? Uniting science, technology and talent to get ahead of disease together.
Company Overview GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.
People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.
Accommodation If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US).
Equal Opportunity Employer GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
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Languages
- English
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