> Markdown version of [/jobs/ext/1255972-data-engineer-snowflake-databrick-dbt-etl-w2-position-independent-consultant](https://www.wearedevelopers.com/jobs/ext/1255972-data-engineer-snowflake-databrick-dbt-etl-w2-position-independent-consultant). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - Snowflake, Databrick, DBT, ETL- W2 position - Independent consultant - **Company:** Syncreon - **Location:** Tukwila, WA, United States - **Experience:** Expert - **Salary:** $119,900.0 - $162,200.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Governance, Extract Transform Load (ETL), Python (Programming Language), Knowledge Management, Microsoft Dynamics, Performance Tuning, Salesforce.Com, SQL Databases, Data Processing, Snowflake, Pyspark, Data Pipelines, Workday, Databricks - **Published:** July 13, 2026 - **Apply:** https://www.careerjet.com/jobad/usc81ec4b539aa65bcc42bf44ac5c47e7e ## About the Role 1. Hands-on experience with Databricks (PySpark/SQL, Unity Catalog), DBT (models, tests, docs), and Snowflake (SQL, performance tuning). 2. Strong background in ETL/ELT pipeline development. 3. Experience with enterprise SaaS systems (Salesforce, D365, Coupa, Workday, Concur). 4. Solid SQL and Python skills; knowledge of data quality frameworks. ## Description 1. Ingest and process data from Salesforce (Investments), Dynamics 365 & Coupa (Finance), Workday (HR), Concur (Operations), and external program/partner data (e.g., Health, Education). 2. Build and maintain pipelines in Databricks, DBT, and Snowflake to deliver curated datasets for AI/ML. 3. Design simple, reusable data models to support training and inference. 4. Implement data quality tests, documentation, and lineage in DBT 5. Ensure performance optimization, cost efficiency, and compliance with governance standards. 6. Collaborate with Knowledge Management (AI/Data Science) team to provide feature ready datasets. ## Related Videos - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Destigmatizing the Workplace: Building Real Inclusion](https://www.wearedevelopers.com/videos/1492-destigmatizing-the-workplace-building-real-inclusion) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)