dbt and Analytics Engineering AI Jobs (2026)
dbt (data build tool) has become the standard for data transformation in modern data stacks. These roles focus on building the clean, tested, and documented data models that power ML features, analytics, and AI applications. Analytics engineers using dbt are critical partners to data science and ML teams.
Last updated: June 27, 2026
Latest dbt AI Jobs
View all jobsSenior Data Engineer / Analytics Engineer
Data Engineer / Analytics Engineer (w/m/d).
Data Engineering- DBT, ETL/ELT, Snowflake,Data Modelling, Python, Airflow, DAX
Senior Analytics Engineer
Senior Data Analytics Engineer
Senior Data Analytics Engineer
Junior Analytics Engineer (Financial Services)
Senior Data Analytics Engineer
Senior Software Engineer — Data Modeling (Europe)
Senior AI Analytics Engineer
Analytics Engineer (Remote)
Senior Data Engineer ( min 4+ years of experience in Python, Snowflake & DBT)
Lead Analytics Engineer
Analytics Engineer — Data Warehouse
Senior Data Engineer (GCP / dbt / Looker)
Data Engineer (Snowflake | DBT)
Data Engineer Senior - DBT
Analytics Engineer
Senior Data Analytics Engineer
Analytics Engineer, Safety Systems
Frequently Asked Questions
How does dbt relate to AI?
dbt transforms raw data into clean, analysis-ready datasets that feed ML models and AI applications. Analytics engineers using dbt build feature stores, create training data pipelines, and ensure data quality — all essential for reliable AI systems.
What skills do dbt-focused AI roles require?
Key skills include SQL, dbt (Core and Cloud), data modeling, data warehousing (Snowflake, BigQuery, Redshift), testing frameworks, and understanding of ML feature engineering. Python and familiarity with ML workflows are increasingly expected.
AI Job Insights for dbt AI Jobs
Salary Range (Yearly, USD)
$90K - $335K
Median $162K from 28 listings with salary data
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Common Roles
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In-Demand Skills
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