Staff Software Engineer, Experimentation Platform

Intuit Credit Karma is a mission-driven company focused on championing financial progress for our more than 140 million members globally. While were best known for pioneering free credit scores our members turn to us for everything related to their financial goals including identity monitoring applying for credit cards shopping for insurance and loans (car home and personal) and savings accounts and checking accounts* all for free. Credit Karma has grown significantly through the years: we now have more than 1700 employees across our offices in Oakland Charlotte Culver City San Diego London Bangalore and New York City.

*Banking services provided by MVB Bank Inc. Member FDIC

About the Role
We are seeking a highly motivated and experienced Staff Data Engineer to lead the data architecture and engineering strategy for our experimentation this role you will build and scale the data systems that enable reliable consistent and timely experimentation insights across the company. You will partner with data scientists analysts product managers and other engineering teams to design robust data models pipelines and governance practices that support thousands of metrics and diverse statistical methodologies.

This is a high-impact high-visibility position that demands strong software engineering and data engineering expertise architectural leadership and a passion for building highly available and performant distributed systems. You will define the technical roadmap and strategy for the experimentation platforms analytics infrastructure ensuring alignment with business objectives while pushing the boundaries of whats possible in experimentation and data analysis.

Our experimentation platform is a distributed highly available low latency Finagle service. The platform leverages Google Cloud technologies including Cloud Composer for workflow orchestration Dataflow for data processing and BigQuery for data warehousing. Our statistical engine applies a combination of Python libraries (e.g. Statsmodels SciPy) and custom algorithms to analyze experiment results.

Responsibilities:

• Define Technical Strategy
  Provide the roadmap and architecture for the experimentation platforms infrastructure ensuring alignment with business objectives and adherence to industry best practices.
• Develop Near Real-Time Systems
  Lead critical initiatives to build our next-generation near real-time ecosystem to enhance near real-time observability and alerting leveraging Scala Pub/Sub Akka and Dataflow on Google Cloud.
• Build Scalable Pipelines
  Architect and maintain large-scale batch data pipelines using Google Dataflow BigQuery and Airflow/Cloud Composer to handle high-volume batch data processing.
• Develop Core Capabilities
  Enhance the experimentation platform with new capabilities such as experiment targeting and localized assignments at scale to reduce latency and improve developer experience.
• Optimize Data Infrastructure
  Drive efficiency and performance improvements across experimentation pipelines frameworks and query layers. Evaluate trade-offs in system design balancing speed scalability cost and accuracy.
• Stay Current with Industry Trends
  Research evaluate and integrate the latest advancements in experimentation methods data analysis techniques and cloud-based technologies to continually improve the platform.
• Mentor and Guide
  Provide technical leadership and support to junior engineers fostering a culture of continuous learning and professional growth.
• Collaborate on Experiment Analysis
  Partner with marketers analysts and data scientists to build infrastructure that supports thousands of metrics and various statistical methods (e.g. t-tests sequential testing Bayesian analysis).

Qualifications:

• Bachelors or Masters degree in Computer Science Statistics or a related field.
• 10 years in software engineering with a focus on data engineering and data architecture.
• Proficiency in Scala Python and SQL.
• Demonstrated success building and maintaining large-scale data pipelines using technologies such as Spark Flink Google Dataflow BigQuery or Airflow/Composer.
• Familiarity with Python libraries for statistical analysis (e.g. Statsmodels SciPy).
• Deep understanding of software development lifecycle best practices including agile methodologies.
• Excellent communication collaboration and stakeholder management skills.
• Proven ability to lead complex projects and mentor engineering teams.
• Proven expertise in A/B testing methodologies and statistical concepts.

What we would like to see:

• Previous experience building analytics pipelines at experimentation platform at large-scale tech companies serving millions of users or vendors (e.g. Optimizely Statsig LaunchDarkly)
• Knowledge of heterogeneous treatment effects and advanced statistical modeling techniques for experimentation.
• Experience with adaptive experimentation or Bayesian optimization methods.

Benefits at Credit Karma includes:

• Medical and Dental Coverage
• Retirement Plan
• Commuter Benefits
• Wellness perks
• Paid Time Off (Vacation Sick Baby Bonding Cultural Observance & More)
• Education Perks
• Paid Gift Week in December

Equal Employment Opportunity:

Credit Karma is proud to be an Equal Employment Opportunity Employer. We welcome all candidates without regard to race color religion age marital status sex (including pregnancy childbirth or related medical condition) sexual orientation gender identity or gender expression national origin veteran or military status disability (physical or mental) genetic information or other protected characteristic. We prohibit discrimination of any kind and operate in compliance with applicable fair chance laws.

Credit Karma is also committed to a diverse and inclusive work environment because it is the right thing to do. We believe that such an environment advances long-term professional growth creates a robust business and supports our mission of championing financial progress for everyone. We offer generous benefits and perks with a single eye to nourishing an inclusive environment that recognizes the contributions of all and fosters diversity by supporting our internal Employee Resource Groups. Weve worked hard to build an intensely collaborative and creative environment a diverse and inclusive employee culture and the opportunity for professional growth. As part of the Credit Karma team your voice will be heard your contributions will matter and your unique background and experiences will be celebrated.

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