Hashboard is building a BI platform that makes analysts, engineers, *and* end-users all love data again.
We are a well-funded, ambitious Seed-stage New York City startup backed by top-tier product and data investors. Our team has experience as early employees of successful startups and in big tech. And we might be a great fit for the next step in your career if you’re excited about having a lot of ownership over your work, learning from sophisticated customers and investors, building a world-class engineering culture, and holding a lot of equity in a fast-growing startup.
Hashboard has an office-first culture and our team collaborates 4+ days per week on location at our office in SoHo, New York.
As an early engineer at Hashboard, you'll spend your time designing, developing, and shipping innovative features in our data analytics application, moving quickly within a deeply technical codebase. Everyone at Hashboard participates directly in all aspects of the product development lifecycle, including ideation, technical design, implementation, testing, and talking directly with customers and prospects. We're an especially good match for product-oriented engineers with strong React skills and experience with data tooling.
About you:
You love to build well-designed products that delight users and solve real problems.
You write high-quality, well-tested code.
You have experience designing scalable systems that are secure and compliant.
You enjoy collaborating in-office on hard problems with smart people.
You have a degree in computer science and/or have worked at high-performing companies with strong engineering cultures.
You're excited to work at a startup and wear many hats.
Nice-to-have:
Familiarity with our stack: React & Typescript, Python, GraphQL, PostgreSQL Redis, Flask, Celery, and Docker
Experience building data analytics applications.
Experience building products in a regulated field
Experience with data warehouse platforms like Snowflake, BigQuery, and DuckDB
Experience using AWS services like S3, RDS, and Cloudwatch