Publié il y a 58 mois
Software Developer - Data Pipelines (Python)
@ Squarepoint Capital
Montréal, Québec
En bref
Squarepoint Capital is hiring a Python developer for its Alpha Data team to build and maintain data pipelines that deliver large volumes of data to users worldwide. The role involves designing, testing and troubleshooting pipelines and frameworks, onboarding datasets with researchers, and leading production support during normal working hours. The posting requires 4+ years of Python experience, a STEM bachelor's degree and strong SQL and Postgres skills.
Responsabilités :
- Own and develop a growing estate of data pipelines
- Design, implement, test and optimize pipelines, frameworks and services
- Collaborate with researchers to onboard new datasets
- Lead production support during normal working hours
Résumé des exigences :
- 4+ years of high-standard Python coding
- Bachelor's degree in a STEM subject
- SQL and common RDBMS experience, mainly Postgres
- Practical knowledge of FTP, SFTP, HTTP APIs and AWS S3
- Excellent communication skills
Outils et compétences
Source et dates
Site carrière / système de candidatures · greenhouse
- Date publiée par l’employeur
- 2022-01-25
- Première détection par notre source
- 2026-10-10
- Mise à jour du dossier source
- 2026-10-28
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Intermédiaire |
| Domaine | Développement logiciel |
| Expérience | 4 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Horaire | jour |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Baccalauréat (exigé) |
| Domaines d’études | STEM |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Squarepoint Capital
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Description complète de l’entreprise
Squarepoint is a leading global investment management firm that develops quantitative investment strategies to achieve high quality returns for our clients. We are a data and technology driven firm who specialize in developing automated trading systems that execute across global financial markets.
- Abonnés LinkedIn
- 54 397
- Personnes associées sur LinkedIn
- 1 591
- Bureaux déclarés
- 250 W 55th St, New York, NY 10019, US
- One Ropemaker Street, London, United Kingdom EC2Y9AW, GB
- 88 Market Street, Singapore, Singapore 048948, SG
- 1190 Avenue des Canadiens-de-Montréal, Montreal, Quebec H3B0G7, CA
- 16 Avenue Matignon, Paris, France 75008, FR
- Quai du Mont Blanc 1, Geneva, Switzerland 1201, CH
- Baarerstrasse 53/55, Zug, Switzerland 6300, CH
- 18 Westlands Rd, Hong Kong, HK
- Intermediate Ring Road, Bangalore, 560071, IN
- Dubai International Financial Centre, Dubai, AE
- 845 Texas Avenue, Houston, TX 77002, US
- Calle de Velázquez, 34, Madrid, Community of Madrid 28001, ES
- 201 W Brookline St, Boston, Massachusetts 02118, US
- Catégories d’activité
- Financial Services
- Autres noms enregistrés
- Squarepoint Capital
- Squarepoint
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 0
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Squarepoint is a leading global investment management firm that develops quantitative investment strategies to achieve high quality returns for our clients. We are a data and technology driven firm who specialize in developing automated trading systems that execute across global financial markets.
| Champ | Valeur |
|---|---|
| Secteur | Financial Services |
| Taille | 1,001-5,000 employees |
| Siège social | New York, NY |
| Type d’organisation | Privately Held |
| Offres sur Jobsy | 52 |
| Voir la page |
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.
Journal
Visible seulement par vous. Conservé sur cet appareil, et dans votre compte une fois connecté.