Mid-level Data Engineer

• Build and maintain staging and intermediate dbt models in a medallion architecture
• Implement entity resolution logic using ID and bridge tables for companies, contacts, and deals
• Implement and maintain AI-powered tagging models using Snowflake Cortex
• Flag data-quality issues for review
• Write schema validation, row-count, nullability, and uniqueness tests for models
• Maintain source-system bridges and lookup tables
• Adapt models when upstream systems change
• Keep source YAML documentation current, including lineage, freshness expectations, and schema notes
• Monitor dbt Cloud jobs
• Debug failed runs and investigate data inconsistencies, escalating when needed
• Submit clean, well-documented pull requests for senior review
• Work with a senior engineer who scopes the work, while progressively taking on more ownership

• 2–4 years of data engineering experience in a production environment
• Solid SQL: multi-stage CTEs, window functions, and well-optimized queries
• Working knowledge of dbt: models, tests, sources, and basic macros
• Experience with Snowflake or a similar cloud data warehouse (BigQuery, Redshift, Databricks)
• Comfort with dimensional modeling and layered (medallion) architectures
• Git and GitHub workflows: branching, pull requests, and code review
• Strong written English and reliable async communication with a remote US-based team
• Availability at least 20 hours per week, with at least 4 hours of overlap with US Eastern time (Mon–Thu)
• Resume and all application materials must be submitted in English
• Python for data validation or transformation logic (nice to have)
• dbt macros and Jinja templating (nice to have)
• Exposure to investment, financial, or alternative data (nice to have)

• Flexible part-time schedule
• Fully remote
• Hands-on work in a mature, production dbt and Snowflake codebase, including AI-powered models
• Mentorship from senior data engineers and a clear path to more ownership
• Builder culture where engineers lead and ship
• Work on diverse, challenging projects across industries
• Flexible Schedule
• Unlimited Paid Time Off (PTO)
• Paid parental/bereavement leave
• Worldwide recognized clients to build skills for an excellent resume
• Top-notch team to learn and grow with