Data Engineer

at  HKR

ABOUT YOU

You are an experienced Data Engineer who is excited to join a small team of seasoned entrepreneurs and technologists tackling what we see as one of society’s most pressing problem: making time matter in a world that hijacks our attention.
As the foundational hire for our Data Engineering practice, you must have experience building enterprise-grade data architecture solutions. Experience working on enterprise SaaS products using a modern development stack is a great asset to have, and so is experience using the latest AI stacks.
You are a lean experimentor, focused on shipping and iterating. You to deliver results in 1/3 the time that most competent people think possible. You exercise extreme ownership, cast no blame, make no excuses. You are obsessed with data, and stay connected to the details. You see it as your obligation to challenge decisions when you disagree, and seek the scrutiny of your own ideas. Finally, you exemplify grit, grace, and gratitude – grit to fuel pursuits with the fire of determination; grace to embrace living through empathy and compassion for others; gratitude to remind yourself of the abundance you have.

QUALIFICATIONS & SKILLS:

• 5 years experience building enterprise grade data products.
• An incredibly strong data engineering and backend engineering expert with a track record of contributions to large products / systems.
• Strong experience in more than one database concepts (SQL, NoSQL, graphdb, timeseriesdb).
• Strong ability in any of Python, Java, Scala, Rust, TypeScript.
• Strong experience connecting and integrating external data sources, specifically SaaS APIs.
• BSc or higher in Computer Science or Machine Learning or Information Science is a plus.

• Design, build, & maintain scalable cloneable single-tenant data architecture solutions for storage and processing.
• Design, build, & maintain scalable large-scale multiple continuous data extraction pipelines from multiple SaaS APIs.
• Ensure data integrity, quality, privacy, security, and accessibility.
• Build the foundation of our Data Engineering practice.
• Report to our CTO - Clint Robinson. Clint has 20 years of experience building technology products. He was founder, CEO and CTO of an enterprise SaaS company which was acquired for $200 million after 3 years.