Senior Data Engineer, Product Platform

Posted 11 Hours Ago
Easy Apply
Be an Early Applicant
New York, NY
Hybrid
178K-213K Annually
Senior level
Machine Learning • Mobile • Other • Social Impact • Software • App development
Hinge is the dating app designed to be deleted.
The Role
As a Senior Data Engineer at Hinge, you will design, build, and optimize data pipelines, enhance data modeling techniques, and maintain analytics data warehouses. Your efforts will improve product services, ensuring data consistency and low latency while directly impacting user experience and product performance. You'll work cross-functionally to support data-driven decisions and participate in on-call rotations for system reliability.
Summary Generated by Built In

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 tens of 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 on the Product Platform team, you will be instrumental in designing, building, and optimizing data pipelines and products that support foundational product services that are crucial to the operation of Hinge. 


Your work will have a direct impact on the reliability and scalability of these services, which are essential for delivering a seamless user experience. You will collaborate closely with product and engineering teams to create innovative solutions for handling large-scale data challenges, ensuring data consistency, low latency, and fault tolerance.


You will be making a real impact on the product platform team and will be key to the success of Hinge. By enabling data-driven decisions and driving improvements to our product services, your contributions will ultimately affect the relationships of millions of people. 


Responsibilities:

  • Design, build, and optimize data pipelines that support critical foundational, cross-cutting product services, empowering the product team to make informed decisions.
  • Drive advancements in our Data Engineering stack by implementing containerization, refining data modeling techniques, and evolving ETL pipeline development to support emerging business needs and scalability requirements.
  • Leverage your data modeling expertise to design, build, and maintain our analytics data warehouse that delivers reliable, high-quality datasets for reporting, analytics, and machine learning purposes, supporting both short-term insights and long-term strategic initiatives.
  • Advocate for Data Engineering best practices within the team, championing their adoption and supporting the continuous improvement of the team's capabilities.
  • Work with stakeholders across the organization to understand their data needs and translate these needs into actionable data solutions.
  • 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 in data engineering, delivering data products from conception to delivery and supporting their underlying infrastructure.
  • Strong technical background in building and optimizing data pipelines, with proficiency in Python, SQL, and data modeling for different types of data sources and business processes.
  • Technical expertise in the following: Python, Go, Kubernetes, Docker, Terraform, CircleCI, GitHub Actions, Kafka, PubSub, Dataflow, Redshift, BigQuery, Databricks, dbt, Looker
  • Experience with cloud environments such as GCP, AWS, or Azure
  • Strong communication skills (written and verbal), with an ability to work collaboratively with cross-functional teams, including backend engineering, data science, and product teams.
  • Effective analytical, troubleshooting, and problem-solving skills, ensuring data systems operate efficiently and meet business needs.
  • Mentorship experience, with a focus on guiding junior data engineers and contributing to team growth through knowledge-sharing and code reviews.
  • A degree in computer science, engineering, or a related field.

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 a $3,000 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 $10,000 toward 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+, Vibras, Women/Nonbinary, Parents, and Remote—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

Top Skills

Go
Python
SQL

What the Team is Saying

Saul
The Company
New York, NY
260 Employees
Hybrid Workplace
Year Founded: 2011

What We Do

In today’s digital world, singles are so focused on sending likes and looking through profiles that they’re not actually building meaningful connections and going on dates. Hinge is on a mission to change that by designing the most effective app experience. On Hinge, there are no rules, timers, or games. Instead, you’ll have unique conversations over the text, photos, and audio you’ve shared on your profile. And it’s resonating with daters. Hinge was the fastest-growing dating app in the US, UK, Canada and Australia in 2019 and 2020.

Our Culture:
- Authenticity: Share your genuine thoughts and opinions directly.
- Courage: Invite and deeply consider challenges and criticism.
- Empathy: Be empathetic, communitarian and trustworthy.

Why Work With Us

We're mission-driven. While most apps think about boosting sessions and time on app, we think strategically about meaningful end results (dates and relationships).

We're culture-first. We believe in great people over process. Decisions are pushed to the front lines, with feedback and coaching provided by our leaders.

Gallery

Gallery
Gallery
Gallery
Gallery
Gallery
Gallery

Hinge Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Hinge believes in the power of in-person connection. We have adopted a hybrid model that allows our people to stay connected to each other in-person.

Typical time on-site: 1.5 days a week
New York, NY

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account