Staff Data Engineer

Key Skills

Agile methodologies, Amazon RedShift, Amazon Simple Storage Service (S3), Apache Airflow, Apache Kafka, AWS, CircleCI, Continuous Integration & Continuous Delivery - CI/CD, Data Biuld Tool - dbt, Data Modeling, Data pipelines, Database, DevOps, Docker, Effective communication skills, ETL frameworks, Kubernetes-K8s, Leadership Skill, Looker, Python Programming, SQL, Teamwork, Terraform, Writing

Job Description

About the Role

As a Staff Data Engineer at Hinge, you will design, build, and support critical data pipelines for our user support team. 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 user support team and will be key to the success of Hinge. Your work will enable the team to make data-driven decisions and drive improvements in user safety and support, which will affect the love lives of tons of people.

The Staff Data Engineer will identify areas where data engineering could be impactful, architect initiatives, and shepherd those initiatives to a successful delivery. You will be a leader, representing data engineering within the user support team. This role is vital to our team and has the potential to make a lasting impact.

Responsibilities:

• Work with our user support team to ensure data is flowing accurately through data creation to our presentation layers.
• Become an advocate for the Data Engineering team by developing and championing Data Engineering practices with the team and with the company at large.
• Improve our Data Engineering stack through containerization, data modeling, developing our ETL pipelines, and more. 
• Work with stakeholders and translate their needs and expectations into action items and deliverables.
• Lead data process initiatives; from design to implementation to delivery.
• Participate in our on-call rotation.

What We’re Looking For:

• Expertise in Python, SQL, DevOps, and databases.
• Experience utilizing multiple programming paradigms, specifically functional and object-oriented.
• Familiar with data modeling and data governance concepts, and agile methodologies.
• 7+ years of data engineering experience.
• Proven ability to drive initiatives and articulate their value to Engineering and other stakeholders.
• Experience delivering data products from conception to delivery.
• Great communication skills (written/verbal).
• Passionate about designing elegant data infrastructure and pipelines.
• Familiarity with our stack: Kubernetes, Docker, Terraform, Kafka, Airflow, dbt, Looker, and AWS technologies (S3, Redshift), CI/CD technologies (CircleCI).

$213,000 - $255,500 a year

The salary range for this position is $213,500 - $255,500. 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.