About Mixpanel
Mixpanel is an event analytics platform for builders who need answers from their data at their fingertips—no SQL required. When everyone in the organization can see and learn from the impact of their work on product, marketing, and company revenue metrics, they are poised to make better decisions.
Over 9,000 paid customers, including companies like Netflix, Pinterest, Sweetgreen, and Samsara, use Mixpanel to understand their customers and measure progress. Our commitment is to provide the most comprehensive and reliable analytics platform accessible and trusted by all.
About the Team
The Revenue Infrastructure team is responsible for building and supporting critical business infrastructure that accelerates revenue generation, lower operating costs, and create delightful customer experiences.
We do this by effectively identifying, servicing, and supporting customers at all stages with Mixpanel - from initial interaction to renewing year after year. The data this team creates and maintains powers insights for everyone in the org, from executives working with our data science team, to individual contributors leveraging Mixpanel for self-serve insights.
We are responsible for systems and tools including: DBT, Fivetran, Hightouch, our dogfood Mixpanel instance, our custom built orchestration service, and many more.
Examples of things this team has worked on:
- Our Orchestration Service - “Modern Data Stack Fastlane” - blog post
- Extracting and transforming our billing information to enable faster and more error free financial calculations
- Building out and maintaining our Data Enrichment system
- Mixpanel’s Internal Customer Data Platform
- Modeling and exposing feature usage of Mixpanel (in Mixpanel!)
- Synchronizing email information between our Marketing email platform and Salesforce
About the Role
As a Senior Data Engineer on the Revenue Infrastructure team, you will collaborate with our cross-functional partners in Data Science, Product, and Finance to build and maintain high quality data sources and build software that maximizes the value and efficacy of that data. We are seeking someone who can contribute both to our data and fullstack codebases.
The team operates independent of skill set, so your peers with software engineering backgrounds will execute on data engineering work, and you will make contributions on software systems that don’t directly work with our data systems. We expect that you will co-elevate your teammates and they should do the same for you. You will leverage your background for our teams effort to design, implement, and maintain high quality data and software systems. Your expertise will help the team build a strong data backbone that is resilient to noise and smoothly handles changes in upstream information, and going beyond this to help drive changes in upstream software systems when they make sense.
Responsibilities
- Build and maintain software and data pipelines across our backend and data orchestration systems. Both for data engineering and other software supporting our Go To Market (GTM) team.
- Design and build data architecture spanning a wide range of complex data, balancing ease of interpretability with cost.
- Create and maintain foundational datasets to support analytics, modeling, experimentation, and product/business needs.
- Collaborate with, teach, and learn from Engineers on Revenue Infrastructure and across the wider organization.
- Work with Finance and Data Science to ensure we are building the right things in ways people can understand.
- Participate in team on-call rotation to improve our systems and keep them healthy.
- Build valuable testing and alerting to help maintain our data hygiene.
- Write internal technical documentation for the systems that you design, build and maintain, as well as fill gaps in existing documentation.
We're Looking For Someone Who Has
- A strong background in both data and software engineering, with at least 5 years of professional experience.
- Proficiency with at least one programming language (Python, Java, etc.), as well as SQL
- Excellent debugging and technical investigation skills
- Excellent technical communication, ideally with experience collaborating in an asynchronous remote environment
- Familiarity with rETL tools (eg: Hightouch, Census, Rudderstack)
- Experience with modern data storage technologies (eg: BigQuery SQL, Airflow, and DBT or similar)
Bonus Points For
- Python and Django ORM experience
- Experience maintaining and improving a large DBT project
- Product Analytics familiarity
- Experience implementing Medallion Architecture
- Technical writing skills (either internal or public-facing)
- Experience mentoring and growing engineers
Compensation
The amount listed below is the total target cash compensation (TTCC) and includes base compensation and variable compensation in the form of either a company bonus or commissions. Variable compensation type is determined by your role and level. In addition to the cash compensation provided, this position is also eligible for equity consideration and other benefits including medical, vision, and dental insurance coverage. You can view our benefits offerings here.
Our salary ranges are determined by role and level and are benchmarked to the SF Bay Area Technology data cut released by Radford, a global compensation database. The range displayed represents the minimum and maximum TTCC for new hire salaries for the position across all of our US locations. To stay on top of market conditions, we refresh our salary ranges twice a year so these ranges may change in the future. Within the range, individual pay is determined by experience, job-related skills, qualifications, and other factors. If you have questions about the specific range, your recruiter can share this information.
Benefits and Perks
- Comprehensive Medical, Vision, and Dental Care
- Mental Wellness Benefit
- Generous Vacation Policy & Additional Company Holidays
- Enhanced Parental Leave
- Volunteer Time Off
- Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break
*please note that benefits and perks for contract positions will vary*
Culture Values
- Be Open: When knowledge becomes open, we can come together as a team to collaborate around a shared purpose
- Customer Focus: Our customers’ success is our success
- Lead Change: Everyone at Mixpanel has the capacity to make an impact on the business
- Results Oriented: Driving results in a measurable way ensures we stay focused on the highest impact initiatives
- One Team: We can’t win without each other
Why choose Mixpanel?
We’re a leader in analytics with over 9,000 customers and $277M raised from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital. Mixpanel’s pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics. Our accomplished teams continuously facilitate our expansion by tackling the ever-evolving challenges tied to scaling, reliability, design, and service. Choosing to work at Mixpanel means you’ll be helping the world’s most innovative companies learn from their data so they can make better decisions.
Mixpanel is an equal opportunity employer supporting workforce diversity. At Mixpanel, we are focused on things that really matter—our people, our customers, our partners—out of a recognition that those relationships are the most valuable assets we have. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance or other similar laws that may be applicable, we will consider for employment qualified applicants with arrest and conviction records. We’ve immersed ourselves in our Culture and Values as our guiding principles for the impact we want to have and the future we are building.
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