Senior Data Platform Engineer

Responsibilities

• Design, develop, and maintain core services within Hinge’s data platform.
• Build and maintain our lakehouse that provides clean, accurate, and robust data sets to be leveraged for reporting, analytics, and machine learning initiatives.
• Maintain and enhance data pipelines and database management frameworks, including tasks such as automation, monitoring, alerting, governance, and cost optimization.
• Work on observability systems that enables holistic system and data quality monitoring.
• Solicit and incorporate internal user feedback to ensure productivity tooling meets the needs of our developers.
• Work with our data teams to ensure data is flowing accurately through data creation to our presentation layers.
• 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.

Requirements

• 4+ years of professional/industry experience.
• Experience in building, automating, and enhancing tools and frameworks for the data platform to streamline pipeline development.
• Experience modeling data sets for different types of sources and business processes.
• Strong communication skills (written/verbal).
• Exposure to ML Ops or other data engineering workloads.
• Effective analytical, troubleshooting, and problem-solving skills.
• A degree in computer science, engineering, or a related field.
• Experience With The Following Technologies:
• Programming: Python, Go, Scala, Java
• Cloud platform: The ability to utilize cloud environments such as GCP, AWS, or Azure.
• DevOps tooling: Kubernetes, Docker, Terraform, CircleCi, GitHub Actions
• Streaming: Kafka, PubSub, Dataflow
• Databases and Big Data Tooling: Redshift, BigQuery, Databricks, dbt
• Bi platform: Looker

Qualifications

• Experience With The Following Technologies:
• Programming: Python, Go, Scala, Java
• Cloud platform: The ability to utilize cloud environments such as GCP, AWS, or Azure.
• DevOps tooling: Kubernetes, Docker, Terraform, CircleCi, GitHub Actions
• Streaming: Kafka, PubSub, Dataflow
• Databases and Big Data Tooling: Redshift, BigQuery, Databricks, dbt
• Bi platform: Looker

Skills

• Strong communication skills (written/verbal).
• Exposure to ML Ops or other data engineering workloads.
• Effective analytical, troubleshooting, and problem-solving skills.

Benefits

• 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.
• 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.

Pay

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.

Schedule

Not specified.