Sr. Software Engineer, Data

$180,000 - $210,000/Yr

Tinder - Palo Alto, CA

Full-time - Mid Level

Palo Alto, CA

Food Services and Drinking Places

About the position

As a Senior Software Engineer, Data at Tinder, you will play a crucial role in building and maintaining the analytics infrastructure that drives data insights across the organization. This position focuses on improving data quality, developing self-serve tools for data exploration, and collaborating with various teams to ensure data-driven decision-making. You will also mentor junior team members and contribute to the design of a scalable analytics platform.

Responsibilities

• Improve Trust in Our Data by Championing for Data Quality Across the Organization
• Develop and implement comprehensive data validation rules and quality metrics
• Lead cross-departmental meetings to discuss data integrity and promote best practices for data management
• Create a feedback loop with stakeholders to continually enhance data standards and processes
• Contribute to the design and architecture of a scalable, efficient analytics platform
• Engage in code reviews and architectural discussions to ensure high standards of code quality and design
• Conduct performance benchmarks and optimize SQL queries and data processing scripts
• Implement robust error handling and recovery processes to enhance system uptime and reliability
• Develop intuitive, user-friendly tools that enable non-technical stakeholders to access and analyze data independently
• Conduct training sessions and create documentation to help users leverage these tools effectively
• Serve as the data liaison, ensuring clear communication and alignment on data needs and insights across various teams
• Participate in strategy sessions to help guide data-driven decision-making and prioritize data initiatives based on organizational goals
• Act as a role model and provide guidance on both technical skills and professional development to junior engineers and analysts
• Facilitate knowledge-sharing sessions and encourage a culture of learning and open dialogue within the team

Requirements

• 5+ years of 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-haves

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

Benefits

• 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
• Mentorship through our MentorMatch program
• Access to 6,000+ online courses through Udemy
• Annual $3,000 stipend for professional development
• Access to mental health support via Modern Health, BetterHelp, and Insight Timer
• Paid concierge medical membership
• Pet insurance
• Fitness membership subsidy
• Commuter subsidy
• Free subscription to Tinder Gold