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Senior Data Engineer

Match Group

Salary$186k - $223k
Before you apply

Role details

The practical picture
Employment
Full-time
Role signal brief

The role, at a glance

Extracted from the source posting · 95% confidence

As a Senior Data Engineer on the Data Engineering team at Hinge, you will design, build, and maintain data infrastructure including ETL pipelines, data warehousing, and analytics platforms that support the company's decision-making and user growth. The role focuses on modern data architecture and containerization while enabling data-driven decisions for millions of users.

Compensation
USD 186,000–223,000 / year

What you need

  • 5+ years of professional/industry experience
  • Proficiency in Python, SQL, DevOps, and databases
  • Experience delivering data products from conception to delivery and with supporting infrastructure
  • Experience modeling data sets for different sources and business processes
  • Familiarity with Kubernetes, Docker, Terraform, Kafka, Airflow, dbt, Looker, AWS technologies (S3, Redshift), GCP technologies (Dataflow, BigQuery), CircleCI, Spark, and Databricks

What you will own

  • Work with data teams to ensure data flows accurately from creation to presentation layers
  • Improve the Data Engineering stack through containerization, data modeling, and ETL pipeline development
  • Design, build, and maintain the analytics data warehouse providing clean, accurate data for reporting, analytics, and machine learning initiatives
  • Work with stakeholders to translate needs and expectations into action items and deliverables
  • Continue learning about Data Engineering and identify opportunities to enhance pipelines
  • Participate in on-call rotation to ensure system reliability and prompt issue resolution
Core skills
PythonSQLDevOpsDatabasesKubernetesDockerTerraformKafkaAirflowdbt
Internal freshness window ends Oct 21, 2026
View source evidence
  • summary “you will create essential data processes and contribute to components of a modern data pipeline”
  • responsibilities “improving core functionality and implementing critical pipelines”
  • must_have “5+ years of professional/industry experience”
  • must_have “Familiarity with our stack: Kubernetes, Docker, Terraform, Kafka, Airflow, dbt, Looker, AWS technologies (S3, Redshift), GCP technologies (Dataflow, BigQuery), CircleCI, Spark, Databricks”
  • skills “Kubernetes, Docker, Terraform, Kafka, Airflow, dbt”
  • location “hybrid,New York, New York”
  • salary “$186,000 - $223,000 per year”
pythonsqldevopsdatabases
Role brief
Hinge is the dating app designed to be deleted
In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all.
About the Role:   As a Senior Data Engineer at Hinge, you will create essential data processes and contribute to components of a modern data pipeline that will be the foundation of Hinge’s decision-making ability. The systems you help create, the problems you help solve, and the support of our analytical minds, will be pivotal to the success of Hinge. Your work will enable the organization to make data-driven decisions and drive improvements, which will affect the love lives of millions of people.   As a Senior Data Engineer on the team, you will be improving core functionality and implementing critical pipelines that will not only aid the Data Engineering team but also the rest of the organization. You will be working on an actual big data architecture while concentrating on real-world problems.

Responsibilities:

  • Work with our data teams to ensure data is flowing accurately through data creation to our presentation layers.
  • Improve our Data Engineering stack through containerization, data modeling, developing our ETL pipelines, and more.
  • Use your expertise in data modeling to design, build, and maintain our analytics data warehouse, which provides clean, accurate, and robust data sets that can be leveraged for reporting, analytics, and machine learning initiatives.
  • Work with stakeholders and translate their needs and expectations into action items and deliverables.
  • 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.
  • What We're Looking For:

  • 5+ years of professional/industry experience
  • Proficient in Python, SQL, DevOps, and databases.
  • 5+ years of professional/industry experience.
  • Experience delivering data products from conception to delivery and with the infrastructure that supports their underlying processes.
  • Experience modeling data sets for different types of sources and business processes.
  • Passionate about designing elegant data infrastructure, tooling, and pipelines.
  • 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
  • Additional

    As a member of our team, you’ll enjoy:
    401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year.
    Professional Growth: Get an annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day.
    Parental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.)
    Fertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide a stipend towards fertility preservation. You and your spouse/domestic partner are both eligible.
    Date Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones.
    ERGs: We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Raices, Women/Nonbinary, Parents —that hold regular meetings, host events, and provide dedicated support to the organization & its community.
    At Hinge, our core values are…
    Authenticity: We share, never hide, our words, actions and intentions.
    Courage: We embrace lofty goals and tough challenges.
    Empathy: We deeply consider the perspective of others.
    Diversity inspires innovation
    Hinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds.
    If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know.
    #Hinge