Data Engineer

• Design and build scalable data pipelines and ETL/ELT frameworks that ingest and transform data from enterprise ERP and financial systems into modern cloud data platforms.
• Develop and maintain data lakehouse and warehouse architectures using Databricks, implementing layered data models aligned with medallion architecture (bronze, silver, gold).
• Create high-performance data transformations and integrations using Python, PySpark, and advanced SQL.
• Integrate and model data from a variety of sources including ERP systems, APIs, databases, and third-party platforms to support analytics and reporting.
• Partner with business stakeholders, analysts, and engineering teams to gather requirements, deliver analytics-ready datasets, and support BI tools and dashboards.

Our client is seeking a highly skilled Senior Data Engineer to design and implement modern data pipelines and scalable cloud-based data platforms. This role is ideal for a technically strong engineer who enjoys solving complex data integration challenges, building reliable data architectures, and working directly with stakeholders to translate business needs into high-value data solutions. The ideal candidate combines deep data engineering expertise with strong software development skills and thrives in an environment where they can work independently while delivering impactful, production-grade systems.

This role will begin fully remote; future assignments may require onsite. Applicants must reside within one hour of the Portland Oregon Metro area., * 5+ years of experience in data engineering or software engineering roles building enterprise-scale data platforms and pipelines.

• Expert-level experience with Databricks and strong knowledge of modern data warehouse and lakehouse architectures.
• Advanced proficiency in Python and SQL, including experience developing complex data transformation logic and production-grade pipelines.
• Strong experience working with cloud platforms such as AWS or Azure, along with experience integrating Snowflake or similar modern data platforms.
• Experience developing backend systems or services using technologies such as .NET or Java, along with the ability to work independently and collaborate directly with client stakeholders.