Software Engineer, Data

Our MissionAs humans, there are few things more exciting than meeting someone new. At Tinder, we’re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive—and rapidly growing. We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more.
Our ValuesOne Team, One Dream: We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission. Own It: We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence. Never Stop Learning: We cultivate a culture where it’s safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving.Spark Solutions: We’re problem solvers, focusing on how to best move forward when faced with obstacles. We don’t dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals. Embrace Our Differences: We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team.
The TeamData influences all of the decisions we make at Tinder. As a Software Engineer, on the Data Analytics Engineering team, you will have the opportunity to build critical analytics infrastructure used to derive insights and serve several teams in the organization. We're looking for someone who is passionate about answering timely business questions through data and empowering colleagues to fully engage with data.
Analytics Engineering is a team within the larger Data Engineering org that works closely with Finance, Analytics, Product, Marketing, and other engineering teams to make data as easily consumable as possible.
Where you’ll work:This is a hybrid role and requires in-office collaboration three days per week. This position is located in Palo Alto, CA, Dallas, TX, or Los Angeles, CA.

In this role, you will:

• Improve trust in our data by championing for data quality across the organization
• Influence and help build the next generation Analytics Platform at Tinder
• Improve the resiliency and performance of our existing platform
• Empower colleagues by building and supporting self-serve tools for data exploration and analysis
• Collaborate and build strong partnerships with Product, AI/ML, Data Science, Marketing, Finance
• Mentor junior members of the team

You’ll need:

• Significant industry experience with a strong track record in data engineering and software development
• Significant knowledge of data warehousing and data modeling techniques.
• Expertise in large-scale distributed data processing platforms, such as Databricks or Apache Spark
• Advanced proficiency in SQL for complex querying, data manipulation, and performance optimization
• Strong coding skills in Python, preferably in Python 3.x for data analysis and backend services.
• Experience in designing, building, and maintaining ETL pipelines that ensure data quality and accessibility
• Familiarity with orchestration tools like Apache Airflow or Dagster for workflow management and automation

Nice to have:

• Experience with Mode, Tableau or other Data Visualization Tools
• Experience with Scala
• Experience with Kafka/MSK

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), family forming benefits, and Milk Stork, which provides access to breast milk shipping for business travel, surrogacy, and employee relocation
• Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual $3,000 stipend for your professional development
• Investment in yo