What You'll Do- Design, build, and scale: Create and maintain resilient, high-performance data pipelines and infrastructure on AWS.
- Own the data ecosystem: Master our data environment, leveraging Databricks and/or Snowflake to wrangle, transform, and prepare data for analysis and product use.
- Write mission-critical code: Develop clean, optimized, and automated solutions using Python and SQL to solve complex data challenges.
- Collaborate and multiply: Work as a "force multiplier" within our cross-functional teams, partnering with data science, development, and infrastructure to tackle big-picture projects.
- Be a flexible builder: Embrace a "builder" mentality. In a startup, you'll have the flexibility to work on diverse challenges and your ideas will be heard, from intern to executive.
What You Bring (Requirements)- 3-5+ years of professional data engineering experience.
- 2-3+ years of hands-on experience with Python.
- 2-3+ years of hands-on experience with SQL.
- Proven, professional experience with Databricks OR Snowflake (certifications or experience with both is a huge plus).
- Solid experience building and managing data solutions on AWS.
- Proven experience in data wrangling and building robust data pipelines.
- A "builder" mindset, a startup mentality, and a genuine thirst for knowledge.
- Exceptional communication skills and the flexibility to think fast.
- A strong team-player mentality, with experience navigating team dynamics and collaborating effectively to solve problems.
Bonus Points (Nice-to-Haves)- Experience with GenAI, AI/ML frameworks, and MLOps.
- Certifications in Databricks, Snowflake, or AWS.
We seek diverse talent who are ready to make an immediate impact. We believe that innovation thrives when teams are built with a variety of backgrounds, experiences, and perspectives. If you are excited by this mission, we encourage you to apply, even if your experience doesn't perfectly match every qualification listed.
