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.

• SQLSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

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

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

Expérience minimale

5+ ans

Postuler avant le

18 août 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Mid-Senior level