Skip to main content

Basic Capital

Software Engineer - Data Platform

New York Office$180k–$275kfulltimemidAdded 1 month ago

About this role

Join Basic Capital's founding Data & Reporting team to build the data infrastructure and analytics systems for a fintech startup transforming retirement products. You'll design data pipelines, develop compliance reporting automation, and create customer-facing analytics while working in their SoHo NYC office.

What you'll do

  • Design and build data pipelines transforming operational data into business intelligence
  • Automate critical compliance reporting, regulatory submissions, and customer communications
  • Develop customer-facing reporting systems including statements and performance analytics
  • Build and maintain data warehouse infrastructure with focus on quality and accessibility
  • Participate in architecture discussions, planning, and code reviews
  • Be founding member of Data & Reporting team establishing initial capabilities

What they're looking for

  • Data pipeline development and ETL/ELT workflows
  • SQL and data modeling for analytics
  • Modern data warehouse platforms (Snowflake, BigQuery, Redshift)
  • Data transformation tools (dbt)
  • Data visualization and dashboard tools (Looker, Tableau, Hex, Metabase)
  • Programming languages (Python, TypeScript, Kotlin, Java, Go, Rust, or C/C++)
  • Cloud infrastructure (AWS, GCP, Azure)
  • Financial data and compliance knowledge
Apply with Autofill

Opens the application — the Jobs AI extension fills it for you. Set up autofill

Opens the official application on the employer’s site. No login required.

Basic Capital

Basic Capital is a fintech startup building AI-powered retirement solutions across mobile, web, and API platforms. The company is hiring full-stack engineers, frontend developers, infrastructure specialists, and go-to-market engineers to develop its product, scale its cloud infrastructure, and drive revenue growth.

View all jobs at Basic Capital

Likely interview questions

  • Walk us through a data pipeline you've built—how did you handle schema changes and data quality issues?
  • Describe your experience with dbt or similar data transformation tools. How did you structure transformations for analytics?
Unlock all 7 questions free — and practice them live →