Every year, one million businesses shut down, yet the process remains messy, expensive, and underserved. At SimpleClosure, our mission is to make business shutdowns seamless, compliant, and stress free, because closing a company shouldn’t feel harder than starting one.
We recently raised our $15 million Series A and were named one of Fast Company’s Most Innovative Companies of 2025. Backed by top investors and trusted by hundreds of startups, we’re rapidly establishing ourselves as the technology leader in this space. Join us and make an outsized impact as we create innovative solutions for businesses, their teams, and their stakeholders.
Job OverviewSimpleClosure is seeking a Data Engineer to join our growing engineering team. In this role, you’ll be responsible for designing, building, and scaling the data infrastructure that powers product insights, business reporting, and operational decision-making across the company.
You’ll partner closely with Product, Engineering, Operations, and Leadership to ensure data is reliable, accessible, and actionable. This role is ideal for an engineer who enjoys building robust data systems from the ground up in a fast-moving startup environment.
This position reports to the CTO.
*Ideal candidates MUST be located in the New York City Metro area.
ResponsibilitiesDesign, build, and maintain scalable data pipelines and ETL processes
Own data ingestion from product databases, third-party tools, and external data sources
Build and manage data models to support analytics, reporting, and operational workflows
Ensure data quality, reliability, and observability across the data stack
Partner with Product, Operations, Growth, and Leadership to define key metrics and data requirements
Support analytics and BI use cases by enabling clean, well-documented datasets
Optimize data storage, performance, and cost across the data platform
Implement best practices for data governance, access controls, and security
Troubleshoot and resolve data pipeline failures and inconsistencies
Contribute to technical documentation and improve data engineering standards over time
Experience: 2-5 years of experience in data engineering or backend engineering with a strong data focus
Programming: Strong experience with Python and/or similar languages
Data Pipelines: Hands-on experience building and maintaining ETL pipelines (e.g., Airflow, Dagster, dbt, Fivetran, or similar tools)
Databases & Warehousing: Experience with relational databases and modern data warehouses (e.g., Snowflake, BigQuery, Redshift)
Cloud: Experience working in cloud environments (AWS, GCP, or Azure)
Data Modeling: Strong understanding of analytics-friendly data modeling concepts
Ownership: Comfortable owning data systems end-to-end, from design through production
Problem-Solving: Proactive and thoughtful engineer who can navigate ambiguity
Collaboration: Strong partner to cross-functional teams including Product, Ops, and Finance
Communication: Clear written and verbal communication skills
Adaptability: Thrives in a fast-paced, evolving startup environment
Compensation: $110,000 - $160,000
Unlimited PTO
Competitive equity package
Employer Covered Medical Benefits
Hybrid work in New York City (Midtown)
Two in-person team retreats a year
Top Skills
What We Do
Each year, hundreds of thousands of companies in the US shut down, and we’re dedicated to becoming the leading technology company that transforms this painful and bureaucratic experience into a smooth and streamlined one. By combining human expertise with technology, we aim to give founders the peace of mind to move on.
Why Work With Us
We’re a product-driven company dedicated to supporting entrepreneurs by integrating design with technology. Our work culture values collaboration, ownership, and creativity while prioritizing low ego and high output. At SimpleClosure, you'll make a meaningful impact with continuous improvement at the heart of everything we do.
Gallery
.png)
