Washington, United States Remote (Country) Full-time

Rockefeller Philanthropy Advisors is hiring a Senior Software Engineer, Data

About the Role

Rockefeller Philanthropy Advisors is hiring a Senior Software Engineer, Data. Join our mission-driven team focused on advancing scientific discovery through large-scale data engineering. You will design and build sophisticated data pipelines and machine learning–powered services that integrate vast patent and academic datasets.

What You'll Do

  • Build and maintain scalable data pipelines using Airflow for integrating complex corpora and resolving citations.
  • Develop and deploy lightweight machine learning models to disambiguate inventors/authors and classify patents.
  • Train or adapt topic models to label patents using various text sources like claims, titles, and abstracts.
  • Extend and maintain REST APIs to provide structured access to linked metadata and classification results.
  • Create dashboards and internal tools to evaluate data quality and model performance.
  • Collaborate closely with other engineers to ensure strong testing practices, documentation, and operational stability.
  • Contribute to architecture and design discussions with a focus on maintainability, performance, and scale.

What We're Looking For

  • Bachelor’s degree and 8+ years of relevant technical experience (or equivalent combination).
  • Expertise in Python for data engineering, including pipeline development and automation.
  • Proficiency in SQL and production-grade schema design (PostgreSQL preferred).
  • Hands-on experience with ML pipelines: training, fine-tuning, and inference for structured data.
  • Strong familiarity with structured data formats (JSON, XML, Parquet) and ETL practices.
  • Experience with Airflow or similar workflow orchestration tools, as well as AWS and container technologies like Docker.
  • Strong ownership mindset and communication skills.

Nice to Have

  • Entity resolution, author disambiguation, or record linkage at scale.
  • Vector similarity techniques or topic modeling in real-world data scenarios.
  • Experience with scholarly and citation datasets (USPTO, arXiv, OpenAlex).
  • Building internal APIs and dashboards for ML or data QA.

Technical Stack

  • Python, SQL, PostgreSQL, Airflow, AWS, Docker, JSON, XML, Parquet

Benefits & Compensation

  • Compensation range: $146,880 – $220,320.
  • Comprehensive medical, dental, and vision insurance for you and your family.
  • Flexible spending accounts (FSA), HSA, and HRA plans available.
  • 401(k) retirement plan with employer contributions.
  • Monthly stipends: $125 for internet/commuting and $200 for fitness/wellbeing.
  • Generous PTO policy: up to 20 vacation days, 7 personal days, 10 sick days, and 12 paid holidays annually.

Work Mode

This role offers remote work flexibility within the United States.

Rockefeller Philanthropy Advisors is a mission-driven team that emphasizes work-life balance, inclusion, and personal growth.

Required Skills
PythonSQLPostgreSQLAirflowAWSDockerJSONXMLParquetData ModelingETLData WarehousingCloud Infrastructure
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Posted 8 months ago