Senior Data Engineer

Instrumentl is a mission-driven startup helping the nonprofit sector to drive impact, and they are seeking a Senior Data Engineer to help scale and evolve their data platform. The role involves shaping the architecture, improving reliability, and building systems for data ingestion, storage, processing, and analytics.

Responsibilities:

• Design and scale our data platform including pipelines, models, and orchestration frameworks
• Develop scalable ETL/ELT pipelines for ingesting data from APIs, databases, and event streams
• Define and implement systems for data ingestion, storage, processing, and transformation
• Build and manage workflow orchestration using tools like Airflow
• Build semantic layer as well as dashboards
• Establish best practices for data modeling, testing, and quality
• Partner with stakeholders to shape data requirements and enable BI and analytics use cases
• Optimize systems for performance, scalability, and cost from day one
• Apply software engineering principles (testing, CI/CD, modular design) to data infrastructure

Requirements:

• A minimum of 5+ years of software engineering experience with the last 2-3 years in data engineering, ideally including early-stage or 0→1 environments
• Strong programming skills in Python
• Advanced proficiency in SQL
• Proven experience building ETL/ELT pipelines end-to-end
• Experience with orchestration tools like Airflow
• Deep understanding of the data lifecycle: ingestion → storage → processing → transformation → serving
• Experience with cloud platforms (AWS, GCP, or Azure)
• Experience supporting BI tools (Looker, Tableau, etc.)
• Familiarity with modern data warehouses (Snowflake, BigQuery, Redshift)
• Experience working in startup environments
• Experience with streaming pipelines (Kafka, Kinesis)
• Exposure to ML/AI data pipelines
• Familiarity with Ruby and Rails
• Experience with data analytics and data science concepts