Senior Data Engineer

Instrumentl is a profitable, hypergrowth, YC-backed SaaS platform building the operating system for grant-funded organizations. The Senior Data Engineer will take ownership of a data platform, shaping its architecture and building reliable pipelines and data models to support the company’s growth.

Responsibilities:

• Design and scale our 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
• Enable trusted, accessible data for BI and analytics decision-making

Requirements:

• 5+ years building production software, with at least 2 to 3 of those 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 a cloud platform (AWS, GCP, or Azure) and a modern data warehouse (Snowflake, BigQuery, or Redshift)
• Experience with workflow orchestration tools like Airflow
• Experience supporting BI tools such as Looker or Tableau, and building semantic layers and dashboards
• Deep fluency across the full data lifecycle: ingestion, storage, processing, transformation, and serving
• Experience in early-stage or 0-to-1 environments
• Experience with streaming pipelines such as Kafka or Kinesis
• Exposure to ML/AI data pipelines, data analytics, or data science concepts
• Familiarity with Ruby and Rails