Data Engineer

Data Engineer

Company details

Description of the offer

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.

Location of employment

How to apply?