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Senior Data Platform Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: Hinge
Full Time position
Listed on 2026-06-06
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing, Big Data
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: New York

Overview

As a Senior Engineer for our Data Platform team, you will be responsible for maintaining and continuously improving our data platform. You are dedicated to designing, implementing and maintaining Hinge’s data infrastructure, selecting and implementing technology to help Hinge make data-driven decisions, build a best-in-class product, reporting & analytics, and enable ML/AI use cases.

Responsibilities
  • Design, develop, and maintain core services within Hinge’s data platform.
  • Build and maintain our lakehouse that provides clean, accurate, and robust data sets to be leveraged for reporting, analytics, and machine learning initiatives.
  • Maintain and enhance data pipelines and database management frameworks, including automation, monitoring, alerting, governance, and cost optimization.
  • Work on observability systems that enable holistic system and data quality monitoring.
  • Solicit and incorporate internal user feedback to ensure productivity tooling meets the needs of our developers.
  • Work with our data teams to ensure data flows accurately through data creation to presentation layers.
  • Continue to learn more about the Data Engineering discipline, utilize that knowledge in your deliverables, and identify opportunities to enhance our pipelines.
  • Participate in our on‑call rotation to ensure system reliability, promptly addressing issues to ensure smooth operations.
Qualifications
  • 4+ years of professional/industry experience.
  • Experience building, automating, and enhancing tools and frameworks for the data platform to streamline pipeline development.
  • Experience modeling data sets for different types of sources and business processes.
  • Exposure to ML Ops or other data engineering workloads.
  • Effective analytical, troubleshooting, and problem-solving skills.
  • A degree in computer science, engineering, or a related field.
Skills
  • Programming:
    Python, Go, Scala, Java.
  • Cloud platform: GCP, AWS, or Azure.
  • Streaming:
    Kafka, Pub Sub, Dataflow.
  • Databases and Big Data Tooling:
    Redshift, Big Query, Databricks, dbt.
  • BI platform:
    Looker.
Salary Range

$ - $ per year salary

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Position Requirements
10+ Years work experience
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