Local to Portland, OR: Senior Data Engineer

Please no C2C or Sponsorship Senior Data Engineer Our client is a technology consulting firm focused on building modern, scalable software and data platforms for enterprise clients. They specialize in solving complex engineering challenges by combining strong software engineering practices with modern cloud and data platforms. They are seeking a Senior Data Engineer to design and build modern cloud data platforms and enterprise data pipelines for their clients. .Net experience highly valued! We value and encourage diversity in the workplace and women, minorities, and veterans are highly encouraged to apply. Thank you. Location: Hybrid-Portland, OR area Type: Contract/possible contract to hire if you possess .NET experience This role combines deep hands-on data engineering expertise with architectural thinking. You will design scalable ingestion frameworks, implement lakehouse architectures, and integrate complex enterprise data sources into modern analytics platforms. A key focus of this role is expert-level data warehouse development and building high-quality, production-grade data pipelines / platforms. You will work closely with architects, analysts, and business stakeholders to deliver data solutions that support analytics, operational systems, and enterprise reporting. What You'll Do • Design and implement modern cloud data platforms, including data lakes, data warehouses, and lakehouse architectures. • Build and maintain Databricks-based data engineering solutions, including ingestion pipelines, transformation frameworks, and curated data layers. • Develop scalable ETL/ELT pipelines using Python, PySpark, and SQL to process and transform enterprise data. • Integrate data from a wide range of sources including enterprise applications, APIs, ERP systems, databases, flat files, and third-party data feeds. • Implement Bronze / Silver / Gold lakehouse architectures using Delta Lake and Databricks. • Design logical, physical, and dimensional data models to support analytics, reporting, and downstream applications. • Develop reliable data integration solutions for enterprise platforms, including ERP, financial, and operational systems. • Build or integrate REST APIs and services to support data ingestion and downstream data consumption. • Deliver analytics-ready datasets and collaborate with analytics teams to support reporting platforms such as Power BI, Tableau, or similar BI tools. • Implement pipeline orchestration, monitoring, and observability to ensure reliable production data workflows. • Optimize data pipelines and platforms for performance, scalability, and cost efficiency. • Provide technical guidance and mentorship to engineers and client teams when needed. • Contribute to data architecture decisions and engineering best practices across client engagements. Required Qualifications • 5+ years of experience in data engineering or related software engineering roles • Expert-level experience with Databricks, including: PySpark, Delta Lake, Databricks workflows, Lakehouse architecture • Strong Python development skills (required) • Advanced SQL expertise • Strong experience with multiple database platforms (SQL Server, MySQL, PostgreSQL, Oracle, DB2, etc.) • Proven experience designing and building scalable ETL/ELT pipelines • Strong experience with cloud-based data platforms (Azure or AWS) • Strong understanding of data warehousing and lakehouse architectures • Strong experience working with structured and semi-structured data • Experience working with NoSQL or distributed data platforms (MongoDB, Cassandra, Hadoop ecosystem) Preferred Experience & Additional Skills • Experience with Microsoft Fabric, including: Fabric Data Factory,Fabric Lakehouse / OneLake, Data Engineering workloads, Power BI integration • Experience with Snowflake • Experience with workflow orchestration tools (Airflow, Prefect, Dagster) • Experience with streaming or event-driven data platforms (Kafka, Spark Streaming, etc.) • Experience integrating with REST APIs or building API-based data services • Experience building distributed cloud systems or microservices with modern technology frameworks (C#. Net / Java / NodeJS, etc.) • Familiarity with CI/CD pipelines and DevOps practices • Experience integrating data from enterprise ERP systems, such as: SAP, NetSuite, Oracle Financials, Workday, Similar financial or operational platforms What Makes You Successful in This Role • You enjoy building scalable, production-grade systems • You take ownership of data platform architecture and reliability • You enjoy solving complex integration challenges • You communicate effectively with both technical teams and business stakeholders • You thrive in environments with evolving requirements and competing priorities • You bring curiosity, adaptability, and a collaborative engineering mindset • You can balance technical excellence with practical business outcomes