Build and own Instrumentl's data platform from the ground up at a profitable, YC-backed SaaS company serving 5,500+ nonprofits. Design scalable pipelines, data models, and infrastructure while setting engineering standards for a fast-growing team.
5+ years building production software with 2-3 years focused on data engineering
Strong programming skills in Python and advanced proficiency in SQL
Proven experience building ETL/ELT pipelines end to end from ingestion through serving
Hands-on experience with AWS GCP or Azure and a modern data warehouse
Experience with workflow orchestration tools like Airflow preferred
Experience supporting BI tools such as Looker or Tableau preferred
Design and scale the data platform across pipelines models and orchestration
Define and implement systems for data ingestion storage processing and transformation
Optimize systems for performance scalability and cost from the start
Build scalable ETL/ELT pipelines that ingest from APIs databases and event streams
Apply software engineering principles such as testing CI/CD and modular design to data infrastructure
Establish best practices for data modeling testing and quality
Build the semantic layer and dashboards that make data usable across the company
Partner with engineering product and business teams to shape data requirements
Report to engineering leadership with high ownership over early-stage data platform
Shape architecture and set engineering standards that let data scale with the company
Profitable hypergrowth YC-backed SaaS platform serving 5500+ nonprofits
Enable trusted accessible data for BI and analytics decision-making
Company values customer focus experimentation authenticity and collaboration
Bi-annual company retreats offered
135,482 – 227,700 USD
/ year
184,000 – 356,500 USD
/ year
170,000 – 190,000 USD
/ year
181,000 – 241,000 CAD
/ year
80,000 – 95,000 USD
/ year