Software or data engineering experience, including hands-on AI/ML work.
Deep understanding of the AI landscape—you can evaluate vendor tools, understand RAG architectures, and advise on build-vs-buy tradeoffs.
Data platform architecture experience—you've designed and built systems on Databricks, Snowflake, or similar.
Strong technical leadership—you can set direction, mentor engineers, and interface effectively with non-technical stakeholders.
Hands-on ability—you're a player-coach who can write code when needed, not just draw diagrams
Strong experience in Python, C++/C, Java or a similar language
Experience with data warehouses, Databricks, Snowflake, BigQuery, or Redshift
ETL/ELT pipeline development, Fivetran, Airbyte, Stitch, or custom pipeline experience
API integration experience, REST, GraphQL; you're comfortable reading API docs and building integrations with enterprise SaaS tools
Data modeling skills, dimensional modeling, schema design, understanding of how data will be used downstream
Pay: $165,000.00 - $285,000.00 per year
Benefits:
- 401(k) matching
- Dental insurance
- Health insurance
- Paid time off
- Parental leave
- Relocation assistance
- Vision insurance
Experience:
- Data Engineering: 5 years (Required)
- AI: 4 years (Required)
- data warehouses: 5 years (Required)
Work Location: In person
