Senior Data Engineer

Job not on LinkedIn

🕒 May 8

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $150k - $180k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Instrumentl

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2016

🤝 Non-profit

⚡ Productivity

☁️ SaaS

💰 Seed Round on 2017-07

Non-profit • Productivity • SaaS

Instrumentl is a comprehensive grant management platform that streamlines the process for nonprofits, grant consultants, and universities to discover, apply for, and manage grants. It offers a vast database of over 400,000 funders and more than 20,000 curated grants to help users find the best-fit funding opportunities quickly. Instrumentl also enhances grant writing with AI technology, automates deadlines, manages tasks, and provides tools for collaboration and document management. Trusted by over 4,000 nonprofits, Instrumentl has facilitated more than $1 billion in active grants, supporting a range of critical missions.

📋 Description

• 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)

🏖️ Benefits

• 100% covered health, dental, and vision insurance for employees (50% for dependents) • Generous PTO, including parental leave • 401(k) • Company laptop and home-office stipend • Bi-Annual Company retreats for in-person collaboration