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# Data Engineer-Expert in SQL AND DBT(Hybrid Role)

- **Company:** E-Solutions
- **Location:** Portland, OR, United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Adaptable Database Systems, Agile Methodology, Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Transformation, Data Systems, Data Warehousing, Dimensional Modeling, Meta-Data Management, Power BI, SQL Databases, Tableau (Software), Workflow Management Systems, Google Cloud, Sql Optimization, Snowflake, Data Build Tool (dbt), Git, Data Management, Looker Analytics, Data Pipelines
- **Published:** October 30, 2026
- **Apply:** https://www.dice.com/job-detail/285d5599-3c97-4298-abcf-af532e5da636

## About the Role

* 10+ years of Data Engineering experience.
 * Strong hands-on experience with Snowflake.
 * Expertise in DBT (Data Build Tool).
 * Advanced SQL skills.
 * Experience developing ELT/ETL frameworks.
 * Strong understanding of dimensional modeling and data warehousing.
 * Experience with Python for data processing and automation.
 * Knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform).
 * Experience with Git, CI/CD, and Agile environments., * Experience with Airflow or other orchestration tools.
 * Knowledge of BI tools such as Power BI, Tableau, or Looker.
 * Experience with data cataloging and governance tools., * Snowflake Certifications.
 * DBT Cloud experience.
 * Experience supporting enterprise-scale data platforms.

Data Engineer-Expert in SQL AND DBT(Hybrid Role)1Snowflake,Data Engineer,Advance SQL,DBT,SQL ExpertN/AC2CUnited States

## Description

We are looking for an experienced Data Engineer with expertise in DBT and Snowflake to build and optimize modern cloud-based data platforms. The ideal candidate will have strong experience in data transformation, data modeling, and analytics engineering., * Design and develop scalable data models in Snowflake using DBT.

 * Build, maintain, and optimize ELT pipelines.
 * Create reusable DBT models, macros, and tests.
 * Ensure data quality, governance, and performance.
 * Partner with analytics, BI, and business teams to deliver data solutions.
 * Troubleshoot and optimize Snowflake workloads.