Match Group logo

Senior Data Engineer

Match Group

Hybrid
New York, NY
Full-time
Senior
5+ yrs
Salary not listedPosted 19m ago

Real job — pulled straight from Match Group’s careers page · Verified September 11, 2026 · No reposts.

Job description

Match Group is hiring a Senior Data Engineer — a full-time, based in New York, NY role. Apply directly on Match Group's careers page below.

Senior Data Engineer

Team: Engineering

Location: New York, New York

Commitment: Full-time

Workplace Type: hybrid

Salary:

Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York City. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.

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
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

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Frequently asked questions

What skills are required for Senior Data Engineer at Match Group?

The required skills for Senior Data Engineer at Match Group include: Python, SQL, DevOps, Kubernetes, Docker, Terraform, Kafka, Airflow, dbt, Looker, AWS, S3, Redshift, GCP, BigQuery, CircleCI, Spark, Databricks.

What is the seniority level for Senior Data Engineer at Match Group?

Senior Data Engineer at Match Group is a Senior level position.

How do I apply for Senior Data Engineer at Match Group?

You can view the full description and apply for Senior Data Engineer at Match Group on EchoJobs: https://echojobs.io/job/match-group-senior-data-engineer-goeuk.