Senior Data Engineer

Hinge • Lifestyle • Dating & Relationships • Python • SQL • Looker • 7 days ago
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Salary
$178k – $213k per year
Location
Hybrid (New York, United States)
Seniority
Senior · 5+ years exp
Visa
H-1B filings in 12 months: 12 · for this role: 1 · green card filings: 3
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Sep 4, 2026.

Overview
Company
Impact
Profile match

Hinge

Hinge is a New York dating technology company founded in 2012 whose product is designed to be deleted. Its prompt-based profiles and recommendation models focus on relationships rather than volume matching. The company belongs to a larger dating group but runs its own product organisation in New York.
hinge.co • HQ: New York, United States • Lifestyle • Dating & Relationships • 201-500 employees • Est. 2012
Tech stack of Hinge
Backed by 500 Global, VCSheet, Eniac Ventures

Join Hinge as a Senior Data Engineer and play a pivotal role in shaping the company's data-driven decision-making ability. You will create essential data processes, improve core functionality, and implement critical pipelines that will aid the Data Engineering team and the rest of the organization. Your work will have a direct impact on the love lives of millions of people. Enjoy a hybrid work environment, competitive benefits, and opportunities for professional growth.

Missions

  • Contribuer à la création de processus de données essentiels et à la mise en œuvre de pipelines de données modernes.
  • Améliorer la fonctionnalité de base et mettre en œuvre des pipelines critiques qui aideront l'équipe d'ingénierie des données.
  • Travailler avec les équipes de données pour garantir que les données circulent avec précision à travers les couches de présentation.

Profil recherché

- 5+ years of professional/industry experience

- Experience delivering data products from conception to delivery and with the infrastructure that supports their underlying processes

- Passionate about designing elegant data infrastructure, tooling, and pipelines

- Experience modeling data sets for different types of sources and business processes

- Familiarity with our stack: Kubernetes, Docker, Terraform, Kafka, Airflow, dbt, Looker, AWS technologies (S3, Redshift), GCP technologies (Dataflow, BigQuery). and CI/CD technologies (CircleCI). Spark/Databricks a plus

- Proficient in Python, SQL, DevOps, and databases

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