Data Engineer

We use social analytics and machine learning to help suppliers in the alcohol industry optimize sales. Our platform handles billions of records, powering a robust SaaS product used by top industry analysts.

About Us

We’re a tight-knit team of 20+, fully remote across the US. Our culture is low-ego, high-capability, and driven by a shared commitment to build great things together. We move fast, work hard, and get in-person a few times per year to align, strategize, and hang out.

We’re looking for a versatile, hands-on Data Engineer to join our Data Team.

What You’ll Do

• Own and evolve our data pipelines, from exploration to production
• Build tools and workflows to extract, transform, and load complex datasets
• Collaborate with analysts and product teams to define and deliver data solutions
• Help manage and improve our ClickHouse + Postgres stack, including schemas and performance
• Build internal tools and automations to speed up access to data across the company
• Contribute to our dbt + DLT-based workflows, and expand the tooling ecosystem around them
• Investigate messy datasets and build clean, scalable workflows out of them

You Might Be a Fit If You…

• Have 2+ years of hands-on data engineering experience
• Love working with Python, SQL, Pandas, and modern data tooling
• Have experience with PostgreSQL, ClickHouse, or other columnar/analytics DBs
• Know your way around dbt, DLT, or similar modeling and orchestration tools
• Are comfortable solving open-ended, exploratory data problems
• Take pride in building clean, documented, reusable code and pipelines
• Are scrappy, self-directed, and not afraid to dive into complexity
• Can work independently but value collaboration and communication

Bonus Points For

• Experience with data observability, testing, and CI/CD for pipelines
• Contributions to internal tooling or scripting for data workflows

Why This Role?

• Build on top of billions of rows of data with real business impact
• Join a remote-first, low-drama team with high standards and high trust
• Be empowered to take ownership and grow in your craft
• Help shape the future of our data tooling, practices, and platform

First Step

You’ll start with a conversation with our CTO to explore the fit, hear more about the company, and get answers to your questions.