Design, develop, and maintain ETL/ELT data pipelines using Snowflake, dbt, Prefect, and other modern data tools
Automate data workflows to improve efficiency and reliability
Integrate CRM and other business systems to support cross-functional needs
Develop data enrichment pipelines to power our sales process
Build internal data tools to drive data-driven decision making
Work directly with stakeholders to define requirements and implement data solutions that support business objectives
Ensure data integrity, governance, and security best practices are upheld
Support analytics and reporting efforts by building dashboards and data models in dbt and Sigma

Requirements

5+ years of experience in data engineering or a related role
Proficiency in SQL and Python for data pipelines and automation
Experience with dbt (or similar data modeling tools)
Familiarity with Snowflake (or other cloud data warehouses)
Knowledge of APIs and experience integrating various data sources
Experience with CRM and business systems (Salesforce, Outreach, Stripe, etc.)
Strong problem-solving and communication skills and the ability to take ownership of projects

Benefits

Competitive compensation
Employee stock options
Comprehensive health coverage (health, dental, vision, life & disability)
Generous monthly wellness budget (gym, massage, etc.)
Premium Calm app & One Medical membership
Flexible, unlimited PTO
401k, HSA and FSA plans available (no current match)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

ETLELTSQLPythondbtSnowflakeAPIsdata modelingdata pipelinesdata automation

Soft Skills

problem-solvingcommunicationownershipstakeholder engagementcross-functional collaborationdata-driven decision makingdata governancedata integrityreliabilityefficiency