Point72's Technology team is looking to improve the company's IT infrastructure by experimenting with open-source solutions and embracing enterprise agile methodology to stay at the forefront of a rapidly evolving technology landscape.
Requirements
- 5+ years of professional experience in data engineering, including end‑to‑end ownership of ETL/ELT pipeline design, development, deployment, and monitoring.
- Practical experience implementing data validation, cleansing, transformation, and reconciliation processes to ensure high‑quality, trustworthy datasets.
- Strong programming skills in Python and experience with common data engineering libraries/frameworks such as Pandas, SQLAlchemy, PySpark, and/or Airflow.
- Deep experience with relational (SQL) and NoSQL databases, data warehouse platforms, and schema/model design.
- Experience with data governance practices, metadata management, and lineage tracking.
- Familiarity with graph query languages, such as SPARQL, Cypher, or Gremlin, and understanding of graph theory concepts to model complex relationships when needed.
- Exceptional analytical and problem-solving skills, with the ability to optimize performance and troubleshoot complex data workflows.
Responsibilities
- Build robust ETL workflows that handle structured, semi-structured, and unstructured sources at scale.
- Design data models and ontologies that maximize the analytical power of the graph.
- Implement data validation and integrity checks across all ingestion processes to ensure consistent, trustworthy data.
- Develop APIs and data services that expose graph data to applications.
- Optimize graph queries for performance and scalability.
- Collaborate with subject matter experts to identify and integrate new data sources.
- Maintain detailed documentation for pipelines, data models, and integration processes.
Other
- Bachelor’s degree or higher in computer science, computer engineering, data science, or a related field.
- Commitment to the highest ethical standards.
- Fully-paid health care benefits
- Generous parental and family leave policies
- Volunteer opportunities
