Data Engineer / Senior Data Engineer
ArcadiaSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Analytics, SaaSIndustries
Requirements
- A strong background in both data and software engineering, with at least 2 years of relevant 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
Responsibilities
- Build and maintain software and data pipelines across our backend and data orchestration systems
- 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 the team 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
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What tools and technologies does the Revenue Infrastructure team use?
The team uses systems and tools including DBT, Fivetran, Hightouch, our dogfood Mixpanel instance, our custom built orchestration service, and many more.
What are the main responsibilities of this Data Engineer role?
Responsibilities include building and maintaining software and data pipelines across backend and data orchestration systems, and designing and building data architecture spanning complex data while balancing ease of interpretability with cost.
Is this a remote position or does it require office work?
This information is not specified in the job description.
What is the salary or compensation for this role?
This information is not specified in the job description.
What kind of team environment can I expect on the Revenue Infrastructure team?
The team operates independent of skill set, with peers collaborating across data and software engineering work, expecting mutual co-elevation among teammates to build resilient data systems.
Mixpanel
Data analytics for user behavior insights
About Mixpanel
Mixpanel provides data analytics tools that help businesses understand user interactions with their products. It tracks user behavior and measures engagement on websites and mobile applications, allowing companies to gain insights into how users engage with their digital platforms. Mixpanel's services are offered through a subscription model, where clients pay a recurring fee based on the volume of data tracked and features accessed. This model supports a steady revenue stream and enables ongoing improvements to the platform. Key features include event tracking, user segmentation, funnel analysis, and retention reports, which assist businesses in identifying trends and making informed decisions to enhance user experience. Mixpanel differentiates itself by focusing on comprehensive analytics tailored for tech startups, e-commerce businesses, and large enterprises, aiming to empower these companies to optimize user engagement and drive growth.
San Francisco, CaliforniaHeadquarters
2009Year Founded
$269.6MTotal Funding
SERIES_CCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
201-500Employees
Benefits
Competitive compensation
Company stock options
Sabbatical policy
PTO
Volunteer time off
Parental leave
Mental health resources
401(k) match
Health, dental,& vision coverage
Flexible work from home options
Learning & development stipend
Professional growth hours
Risks
Increased competition from Amplitude and Heap may affect market share.
Data privacy concerns may arise from integrations with platforms like BigQuery.
Growing demand for personalization pressures Mixpanel to enhance analytics capabilities.
Differentiation
Mixpanel offers real-time analytics across devices, enhancing user experience insights.
The SaaS model ensures steady revenue and continuous platform improvement.
Mixpanel's embeddable reports enhance collaboration in tools like FigJam and Coda.
Upsides
Integration with BigQuery enhances data exploration for data-driven companies.
Recognition as a 'Market Leader' boosts Mixpanel's market credibility.
Partnership with Seven Peaks expands Mixpanel's reach in the APAC region.
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