Staff Data Engineer

Our Mission As humans, few things are more exhilarating than encountering new people. At Tinder, we're invigorated by the task of maintaining the magic of human connection. With tens of millions of users, hundreds of millions of downloads, over 2 billion swipes a day, more than 20 million matches a day, and a presence in over 190 countries, our reach is extensive—and rapidly expanding. We collaborate to solve complex issues. Behind each match's simplicity, we deeply consider human relationships, behavioral science, network economics, artificial intelligence and machine learning, online and real-world safety, cultural nuances, loneliness, love, sex, and more. The Engineering team is tasked with creating innovative and resilient systems that bring people together. We constantly experiment with new features to engage our members. Although we're a large-tech company, the member-to-engineer ratio is exceptionally high—this heightens each engineer's impact at Tinder. Tinder is seeking a skilled engineer ready to design, architect, and implement our data platform's next generation. Our thriving business constantly needs actionable information, providing us with an exciting roadmap with high-value products to be designed and more to be identified. This role includes working with large-scale data pipelines in near-real-time, batch, and lambda frameworks. In this role, you will have the opportunity to: - Collaborate with engineers in conceptualizing, planning, and implementing data engineering initiatives in collaboration with different stakeholders - Design and build data platforms and frameworks for processing high volumes of data in real time and batch format, utilized by different engineering teams. - Collaborate with internal engineering and product teams to discover avenues for improvements or enhancements to our data platforms and frameworks to enhance overall engineering efficiency - Promote self-serve capabilities for the engineering teams to easily onboard their critical data workloads onto our platforms - Research and evaluate new technologies in the big data space to guide our continuous improvement - Collaborate with multi-functional teams to fine tune the performance of large data applications - Work with Privacy and Security teams on data governance, risk, and compliance initiatives - Work on initiatives to ensure stability, performance, and reliability of our data infrastructure - Provide solutions, recommendations, documentation, and training to the technical and business teams for continuous enhancement of building a data-informed business - Promote the adoption of data engineering best practices in a team of engineers and mentor junior team members What we are looking for: - 8+ years of experience in data engineering on distributed frameworks such as Spark, Flink, Kafka Streams, Storm, Hadoop, etc. - Proficiency with any of the following programming languages - Scala, Java, or Python - Experience with ETL job orchestration, preferably with a feature-rich tool such as Airflow, Argo, AWS step functions, Luigi, etc. - Experience with at least one massively parallel processing data technology such as Redshift, Snowflake, Spark, etc. - Experience with a NoSQL database like DynamoDB, etc. - Experience building real-time data pipelines using Flink or Spark - Experience with distributed systems and microservices - Experience with Kubernetes and building Docker images - Experience with any public cloud environment - AWS, GCP, or Azure - Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets Bonus points if you have: - Worked in a technical lead role in a data team - Driven cross-functional initiatives with different teams and stakeholders - If you have led projects related to GRC like GDPR (Data deletion, RER, Right to be forgotten, etc...), DLP and Role based Access Control - Experience providing technical leadership and mentoring other engineers for data engineering best practices As a full-time employee, you'll enjoy: - Unlimited PTO (with no waiting period), 10 annual Wellness Days - Time off to volunteer and charitable donations matched up to $15,000 annually - Comprehensive health, vision, and dental coverage - 100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP) - 100% paid parental leave (including for non-birthing parents) and family forming benefits - Investment in your development: mentorship through our MentorMatch program, access to over 6,000+ online courses through Udemy, and an annual $3,000 stipend for your professional development - Investment in your wellness: access to mental health support via Modern Health, paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy - Free subscription to Tinder Gold Commitment to Inclusion At Tinder, we don't merely accept difference, we celebrate it. We endeavor to create a workplace that reflects our members' rich diversity worldwide, and we value unique perspectives and backgrounds. Even if you don't meet all the listed qualifications, we invite you to apply and demonstrate how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: https://www.lifeattinder.com/dei.