Senior Data Engineer

The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step change in our ability to leverage data, knowledge, and prediction to find new medicines.  We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward:  

  

·       Building an unified, automated, next-generation data experience for GSK’s scientists, engineers, and decision-makers, increasing productivity, and reducing data friction 

·       Providing best-in-class AI/ML, GenAI and data analysis environments to accelerate our predictive capabilities and attract top-tier talent  

·       Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-time  

  

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, structure and unstructured data in line with Product requirements.  

 

As a Senior Data Engineer, you are a leading technical contributor who turns ambiguous scientific or technical challenges into well-specified data solutions. You bring deep expertise in distributed systems, data processing, cloud platforms, and modern software engineering. You champion best practices, lead technical design, mentor engineers and drive high-impact work across the data ecosystem. You ensure robustness of our services and serve as an escalation point in the operation of existing services, pipelines, and workflows. You should be deeply familiar with the tools of modern data engineering (e.g. Spark, Kafka, Storm, …) and of our customers and engaged with the open-source community surrounding them – potentially, even to the level of contributing pull requests.

 

You operate with a strong engineering mindset, prioritizing automation, reliability, metrics and well-instrumented pipelines. You also support emerging capabilities such as GenAI powered data services, LLM-enabled agents, vectorized feature pipelines and RAG workflows.

Key responsibilities include:

• 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

• Ensure 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

• Adhere 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.

Why you?Basic Qualifications:

We are looking for professionals with these required skills to achieve our goals:

• PhD + 2 years, Masters + 4 years or a Bachelors 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:

If you have the following characteristics, it would be a plus:

• 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)

#GSK-LI #R&DTechProject

• 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.

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.

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