Data Engineer at Point72

, , United States -

Full Time

Start Date

Immediate

Expiry Date

02 Mar, 26

Salary

300000.0

Posted On

02 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, ETL Workflows, Data Models, APIs, Graph Queries, Data Validation, Python, SQL, NoSQL, Data Governance, Metadata Management, Graph Theory, Analytical Skills, Problem-Solving, Data Quality, Data Services

Industry

Financial Services

Description

Data Engineer A CAREER WITH POINT72’S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology team is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. What You’ll Do 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. Monitor and tune ETL processes for efficiency, resilience, and scalability, including alerting for data quality issues. Stay current on emerging ETL, virtualization and data engineering technologies, bringing innovative solutions into our workflow. What’s Required Bachelor’s degree or higher in computer science, computer engineering, data science, or a related field. 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. Commitment to the highest ethical standards. We take care of our people We invest in our people, their careers, their health, and their well-being. When you work here, we provide: Fully-paid health care benefits Generous parental and family leave policies Volunteer opportunities Support for employee-led affinity groups representing women, people of color and the LGBT+ community Mental and physical wellness programs Tuition assistance A 401(k) savings program with an employer match and more About Point72 Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit www.Point72.com/about. The annual base salary range for this role is $175,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

Responsibilities

The Data Engineer will build robust ETL workflows and design data models to maximize analytical power. They will also implement data validation checks and develop APIs to expose graph data to applications.