Data Engineer III
HingeAbout 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).
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 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.
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.
Benefits Extracted with AI
- 401(k) Matching
- Professional Growth Stipend
- Parental Leave
- Fertility Support
- Date Stipend
- Employee Resource Groups
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