Base: $130,000 - $155,000; bonus/equity: not speci...
On-site
5+ years data engineering or analytics experience
3+ years managing consumer data from digital apps
Proficiency in sql and relational/nosql databases
The role involves guiding the instrumentation of consumer data collection to support reporting, analytics, and machine learning use cases
Job Summary
The role involves guiding the instrumentation of consumer data collection to support reporting, analytics, and machine learning use cases.
Candidates will bridge the gap between business analytics needs and technical data infrastructure while collaborating with front-end development teams.
The position offers a hybrid work model, flexible time off, and competitive benefits including a $0 cost premium employee coverage.
Matching Summary
The role involves guiding the instrumentation of consumer data collection to support reporting, analytics, and machine learning use cases.
Salary
Base: $130,000 - $155,000; Bonus/Equity: Not specified; Benefits: Flexible Time Off, Hybrid work, $0 premium medical, 401K match
Skills & Requirements
Must-have
5+ years data engineering or analytics experience
3+ years managing consumer data from digital apps
Proficiency in SQL and relational/NoSQL databases
Experience with event tracking frameworks and SDKs
Knowledge of web/mobile analytics tools like Amplitude
Understanding of data privacy regulations impact
Cloud-based data lake solutions experience AWS Azure
Nice-to-have
Strong communication with non-technical stakeholders
Experience working in Agile/Scrum environments
Ability to manage multiple initiatives simultaneously
Familiarity with A/B testing frameworks
Proven leadership of technical teams
Key Requirements
Bachelor's degree in Computer Science or related field
5+ years experience in data engineering or software engineering
3+ years experience managing consumer data from digital applications
Proficiency in SQL and database management (PostgreSQL, MongoDB)
Experience with cloud data lakes (AWS S3, Azure Data Lake)