> Markdown version of [/jobs/ext/617761-data-engineer-pcctc](https://www.wearedevelopers.com/jobs/ext/617761-data-engineer-pcctc). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer, PCCTC - **Company:** MEMORIAL SLOAN-KETTERING CANCER CENTER - **Location:** New York, NY, United States (Remote available) - **Experience:** Experienced - **Salary:** $92,700.0 - $148,400.0 - **Contract:** Permanent contract - **Skills:** Amazon S3, Clinical Data Management, Clinical Data Repository, Cloud Storage, Information Systems, Databases, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Systems, Relational Databases, File Systems, Identity and Access Management, Operational Data Store, Standard Sql, Microsoft SharePoint, Data Streaming, Management of Software Versions, Delivery Pipeline, Information Technology, Github Enterprise, Data Management, Software Version Control, Data Pipelines, User Administration, Airtable - **Published:** June 16, 2026 - **Apply:** https://diversityjobs.com/career/17277276/Data-Engineer-Pcctc-New-York ## About the Role * An undergraduate degree, preferably in computer science, data engineering, information systems, or a related field. * 2-4 years of experience building or maintaining data pipelines, ETL processes, or database systems. * Working knowledge of SQL and relational database concepts. * Familiarity with cloud storage (AWS S3 preferred) and infrastructure-as-code principles. * Experience with access management, permissioning, or user administration across collaborative platforms. * Exposure to version control (git/GitHub). * Passion for data and creating reliable systems that empower cancer care and clinical research. Core Skills: * Strong problem-solving and analytical thinking skills with the ability to troubleshoot complex data and system issues. * Excellent collaboration and communication skills, with the ability to work effectively across technical and non-technical teams. * Highly organized with strong attention to detail and a commitment to data accuracy, quality, and documentation. * Ability to manage multiple priorities in a fast-paced environment while meeting deadlines. * Proactive, adaptable, and eager to learn new technologies and contribute to continuous process improvement. * Self-motivated and able to work independently in a fully remote environment while remaining an engaged team member. ## Description * Implement and maintain relational database structures for clinical trial data storage in AWS S3, using tools such as DuckDB and/or DuckLake. * Build and maintain ETL pipelines that ingest data from clinical trial data systems (e.g. EDCs), transforming raw clinical data into organized, versioned, analysis-ready datasets. * Develop access layers (database connectors, internal R packages or utilities) that enable our R-focused Data Science Team to query and retrieve data efficiently. * Implement and maintain access management and permissioning structures across data systems, including SharePoint and Airtable, ensuring consistent and scalable controls as the team and trial portfolio grow. * Maintain data governance standards, including naming conventions, versioning, and documentation, across our active trial portfolio. * Collaborate with Clinical Operations and Data Management teams to understand data flows from sites and ensure upstream processes align with downstream analytic needs. * Use GitHub Enterprise for version control and contribute to CI/CD workflows for pipeline automation where infrastructure allows. * Additionally, we wanted to share a few other tools and concepts that we work with as a team. We are excited to collaborate with you on these areas and also support your continuous development! * CDISC data standards (SDTM, ADaM) and how clinical trial data is structured * DuckDB, DuckLake, or similar analytical database technologiescomplex & relational data sets * R (you won't need to be an R programmer, but understanding how R users consume data will make you more effective) * Airtable structure and maintenance (we have several operational data systems here) * SharePoint administration and file system permissioning at scale * CI/CD for orchestrating automated data pipelines * Clinical trial data lifecycle, from EDC capture through analysis-ready datasets ## Related Videos - [The Vonage Trivia Voyage: Quiz Your Way to the Top!](https://www.wearedevelopers.com/videos/761-the-vonage-trivia-voyage-quiz-your-way-to-the-top) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [WeAreDevelopers LIVE - CSS is DOOMed](https://www.wearedevelopers.com/videos/1838-wearedevelopers-live-css-is-doomed) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Techies vs. Suits: Decoding the Distinct Paths to Startup Success in Europe and the US](https://www.wearedevelopers.com/videos/826-techies-vs-suits-decoding-the-distinct-paths-to-startup-success-in-europe-and-the-us) - [Implementing continuous delivery in a data processing pipeline](https://www.wearedevelopers.com/videos/73-implementing-continuous-delivery-in-a-data-processing-pipeline) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)