Collaborate with product managers, data scientists, analysts, and engineers to define business requirements and translate them into scalable data solutions
Plan, design, build, test, and deploy data warehouse, data mart, and ETL/ELT pipelines—primarily within Google Cloud and BigQuery
Lead small to medium data projects, including scoping, design, documentation, and execution
Architect and operate cloud-based data pipelines that support reporting, invoicing, and analytics use cases
Ensure data integrity, consistency, and accessibility across internal and external data products
Develop, document, and enforce coding and data modeling standards to improve code quality, maintainability, and system performance
Serve as an in-house data expert, making recommendations on data design, pipeline improvements, and best practices
Build and maintain: internal dashboards and reporting packages (weekly, monthly operational and financial reporting), external reporting packages for customers, including standardized QBRs and trend analyses, monthly invoicing logic, automated data workflows, and standardized datasets for finance
Work cross-functionally to expand usage and value of the data warehouse, promoting a data-driven culture across the organization

Requirements

Bachelor’s degree in analytics, engineering, computer science, information technology, or related field—or equivalent experience
8+ years of professional experience in the data engineering or analytics space
Expert proficiency with: SQL (complex transformations, performance tuning), Python, dbt, ETL/ELT pipeline development
Strong experience with data modeling, schema design, and data cataloging
Demonstrated ability to analyze large datasets, identify inconsistencies, debug data issues, and propose scalable solutions
Deep familiarity with Google Cloud Platform (GCS, BigQuery, Cloud Functions/Run, IAM)
Experience with data warehouse platforms such as BigQuery, Snowflake, Redshift, or Databricks
Ability to quickly understand complex business domains and pick up new tools/tech rapidly
Highly organized, detail-oriented, and curious with a strong sense of ownership
Thrives in a fast-moving startup environment with evolving priorities

Benefits

medical, dental, and vision insurance
401(k) with a company match
an ESPP
unlimited vacation
13 paid holidays
72 hours of sick leave
mental wellness and financial wellness programs
fertility benefits
generous parental leave
pet insurance
supplemental life insurance for you and your dependents
company-paid short-term and long-term disability
additional compensation programs such as annual cash bonuses or commission, and annual equity grants for most positions

Applicant Tracking System Keywords

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

Hard Skills & Tools

SQLPythondbtETLELTdata modelingschema designdata catalogingdata analysisperformance tuning

Soft Skills

organizationaldetail-orientedcuriosityownershipcollaborationleadershipcommunicationproblem-solvingadaptabilityanalytical thinking

Certifications

Bachelor’s degree in analyticsBachelor’s degree in engineeringBachelor’s degree in computer scienceBachelor’s degree in information technology