Software Developer - Data Pipelines

Position Overview: We are seeking an experienced Python developer to join our Alpha Data team, responsible for delivering a vast quantity of data served to users worldwide. You will be a cornerstone of a growing Data team, becoming a technical subject matter expert and developing strong working relationships with quant researchers, traders, and fellow colleagues across our Technology organization. Alpha Data teams are able to deploy valuable data to the rest of the Squarepoint business at speed. Ingestion pipelines and data transformation jobs are resilient and highly maintainable, while the data models are carefully designed in close collaboration with our researchers for efficient query construction and alpha generation. We achieve an economy of scale through building new frameworks, libraries, and services used to increase the team's quality of life, throughput, and code quality. Teamwork and collaboration are encouraged, excellence is rewarded and diversity of thought and creative solutions are valued. Our emphasis is on a culture of learning, development, and growth. Take part ownership of our ever-growing estate of data pipelines, Propose and contribute to new abstractions and improvements - make a real positive impact across our team globally, Design, implement, test, optimize and troubleshoot our data pipelines, frameworks, and services, Collaborate with researchers to onboard new datasets, Regularly take the lead on production support operations - during normal working hours only. Required Qualifications: 4+ years of experience coding to a high standard in Python, Bachelor's degree in a STEM subject, Experience with and knowledge of SQL, and one or more common RDBMS systems (we mostly use Postgres), Practical knowledge of commonly used protocols and tools used to transfer data (e.g. FTP, SFTP, HTTP APIs, AWS S3), Excellent communication skills. Nice to haves Experience with big data frameworks, databases, distributed systems, or Cloud development. Experience with any of these: C++, kdb+/q, Rust.

Design, implement, and optimize resilient data pipelines and frameworks to serve global users. Collaborate with researchers to onboard new datasets and provide production support during normal working hours.

Requires a Bachelor's degree in a STEM subject and over 4 years of high-standard Python coding experience. Proficiency in SQL, RDBMS systems, and data transfer protocols is essential.

• PostgreSQLPreferred

Identified from the job description. Confirm important requirements above.

• Python
• SQL
• Postgres
• FTP
• SFTP
• HTTP APIs
• AWS S3
• Data Pipelines
• Big Data Frameworks
• Distributed Systems
• Cloud Development
• C++
• Kdb+/q
• Rust

• Software
• Data & Analytics
• Technology
• Finance & Accounting
• Engineering

Minimum education

Bachelor’s degree

Minimum experience

2+ years

Apply by

Aug 28, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Associate

Application method

Direct apply is available