> Markdown version of [/jobs/ext/2105932-data-engineer](https://www.wearedevelopers.com/jobs/ext/2105932-data-engineer). 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 - **Company:** Russell Tobin - **Location:** Beaverton, OR, United States - **Experience:** Expert - **Salary:** $145,600.0 - $162,240.0 - **Contract:** Contract - **Skills:** Artificial Intelligence, Amazon Web Services, Information Engineering, Data Systems, Python (Programming Language), SQL Databases, Snowflake, Apache Spark, Data Analytics, Data Management, Databricks - **Published:** August 18, 2026 - **Apply:** https://www.dice.com/job-detail/1ebab060-2085-4bff-9836-0873381d4517 ## About the Role * 10+ years of experience in a data-related role, with prior professional data engineering experience. * Strong hands-on experience with Databricks, Spark, Python, Snowflake, and SQL. * Experience with AI tools and initiatives; finance-domain experience and data analytics/BI experience are highly desirable. * Bachelor's degree required; AWS or Databricks certifications are a plus but not required. ## Description * Build and enhance data solutions, tools, and new data products using Databricks, Spark, Python, Snowflake, and SQL. * Support team capacity gaps and leave coverage while helping improve data capabilities and operational efficiency. * Contribute to AI-related tools and initiatives and support data-driven business objectives. * Develop solutions that support analytics, profitability, and margin improvement. * Partner with cross-functional teams to understand requirements and deliver scalable data solutions. ## Related Videos - [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) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [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) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [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) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)