Data Engineer III

Posted 3 Days Ago
New York, NY
Hybrid
143K-172K Annually
Mid level
Other
The Role
The Data Engineer III at Hinge will focus on creating essential data processes and components of a modern data pipeline. This role involves improving data flow, implementing critical pipelines, and maintaining analytics data warehouse. The engineer will collaborate with stakeholders to translate needs into actionable deliverables and contribute insights to team processes.
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 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.


You will be making a real impact on the data engineering team and will be key 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 tons of people. 


Data Engineers will be improving core functionality and implementing critical pipelines that will not only aid the data engineering team, but the rest of the organization. As a Data Engineer at Hinge, 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 that provides clean, accurate, and robust data sets to 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.
  • Contribute meaningful insights and feedback to our team processes.
  • Participate in our on-call rotation.
  • Perform other job-related duties as assigned.

What We're Looking For:

  • Proficient in Python, SQL, DevOps, and databases.
  • 3+ years of professional/industry experience.
  • Experience delivering data products from conception to delivery and with the infrastructure that supports their underlying processes.
  • Strong communication skills (written/verbal).Experience modeling data sets for different types of sources and business processes.
  • Passionate about designing elegant data infrastructure, tooling, and pipelines.
  • Familiar with our stack: Kubernetes, Docker, Terraform, Kafka, Airflow, dbt, Looker, AWS technologies (S3, Redshift), GCP technologies (Dataflow, BigQuery), and CI/CD technologies (CircleCI).

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. Note: We will only respond to inquiries regarding accommodations and if you have any questions about your job application, please reach out to your Talent Acquisition Partner directly.

Top Skills

Python
SQL
The Company
Dallas, TX
2,103 Employees
On-site Workplace
Year Founded: 1995

What We Do

Hundreds of millions of singles have used our brands' dating products to create meaningful connections. Match pioneered the concept of online dating over 25 years ago, then reinvented the category by launching Tinder. Our diverse portfolio of apps and products enables connections across the spectrum of age, gender, and dating goals.

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