Data Engineer 4

Job Title: Data Engineer 4 Location: Portland, OR Salary Range: $65/hr to $70/hr on W2Introduction Join our dynamic team where you will contribute to designing and implementing data products and features alongside product owners, data analysts, and business partners using Agile/Scrum methodologies. This is a senior-level role requiring experience in large-scale software and big data development. Required Skills & Qualifications Applicants must be able to work directly on W2. Bachelor's degree in Computer Science or a related technical discipline. 10 years of experience in large-scale software development, including 5 years of big data experience. Proficiency in programming languages such as Python or Scala. Experience working with Hadoop, Spark, Hive, and related processing frameworks. Strong SQL skills and understanding of data warehousing concepts. Experience with workflow orchestration tools like Apache Airflow. Proficiency with source code control tools such as Github or Bitbucket. Effective communication skills, both verbal and written. Experience in Agile/Scrum application development. Preferred Skills & Qualifications Experience with Java. Experience in a public cloud environment, particularly AWS and Databricks. Familiarity with cloud warehouse tools like Snowflake. Experience with NoSQL data stores such as HBase, DynamoDB. Experience building RESTful APIs for data consumption. Experience with build tools like Terraform or CloudFormation and automation tools such as Jenkins or Circle CI. Knowledge of Continuous Development, Continuous Integration, and Automated Testing practices. Day-to-Day Responsibilities Design and implement data products and features in collaboration with product owners and data analysts. Contribute to the architecture, frameworks, and patterns for processing and storing large data volumes. Implement distributed data processing pipelines using big data ecosystem tools and languages. Build utilities, user-defined functions, libraries, and frameworks to enhance data flow patterns. Work with engineering leads and other teams to ensure quality solutions are implemented and best practices are followed. Build and incorporate automated unit tests and participate in integration testing efforts. Utilize and advance continuous integration and deployment frameworks. Troubleshoot data issues and perform root cause analysis. Work across teams to resolve operational and performance issues. Company Benefits & Culture Collaborative team environment focused on problem-solving and delivering results. Opportunities for continuous learning and knowledge sharing. Commitment to diversity and inclusion in the workplace. For immediate consideration please click APPLY to begin the screening process.

Created: 2026-03-04