Data Engineer

The role Build warehouses and pipelines for clients moving off spreadsheet-and-export reporting: dbt, Snowflake or BigQuery, and the orchestration around them. What you'll do Design dimensional models and ELT pipelines for client analytics workloads Implement dbt projects with tests, documentation, and CI Tune warehouse cost and performance as data volume grows Work directly with client analysts to shape usable data marts What we're looking for 4+ years building production data pipelines Strong SQL plus Python; dbt experience strongly preferred Experience with at least one of Snowflake, BigQuery, Redshift, or Databricks Posted June 18, 2026 Apply for this role Attach your resume; everything else is optional. Full name Email Phone (optional) ResumeChoose filePDF, DOC, DOCX, TXT, or RTF up to 8 MB Anything else? (optional)

Design and implement dimensional models and ELT pipelines for client analytics workloads. Optimize warehouse cost and performance while collaborating with analysts to create usable data marts.

Requires over 4 years of experience building production data pipelines with strong proficiency in SQL and Python. Experience with dbt and at least one major cloud data warehouse like Snowflake or BigQuery is required.

• SQLPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Sql
• Python
• Dbt
• Snowflake
• BigQuery
• Redshift
• Databricks
• Dimensional Modeling
• ELT Pipelines
• Data Warehousing

• Data & Analytics
• Technology
• Consulting
• Software
• Engineering

Minimum experience

5+ years

Apply by

Aug 18, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level