About The Team:
The operations team is a highly analytical team that helps guide and implement strategic initiatives across the company. We are looking for a Lead Data Engineer who lives and breathes data to sit within the operations team and connect and organize our data across the company.
What You'll Do:
Evaluate ways to increase the efficiency of internal data flows and centralize sources of truth
Hep evolve our data infrastructure (frameworks, services & tools) to meet changing business needs
Implement various ETL infrastructures and guidelines on how to most effectively build and maintain them for reporting and analytics
Create systems that process data into a data lake within operations
Build a data platform-as-a-service for internal consumers, operating on open-source technologies on GCP
Develop robust near real-time stream processing that can scale to handle our future growth
Connect our data to business systems including salesforce, marketo, intercom, google analytics, metabase, etc.
Build data science / machine learning models using internal and external data sources to identify potential new customers, those who are at risk of churn or those with potential upsell opportunities
Work with Airflow, DBT, Presto, Hightouch and introduce the latest tools into our technology stack
8+ years of data engineering experience, preferably involving multiple years at a high growth startup
Experience with scalable data architecture, data warehousing, and ETL pipelines
Advanced knowledge of databases and SQL
Experience building big data pipelines
Strong interpersonal and communication skills and experience working cross functionally
The New York and California base salary for this full time position is between $140,000 to $210,000. Your exact starting salary is determined by a number of factors such as your experience, skills, and qualifications. In addition to base salary, we also offer a competitive equity program and comprehensive and inclusive benefits.
Success story sharing