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Description

Job ID: 43248

***Not able to use 3rd Party Agencies***

Data Engineer
Our client is hiring a Data Engineer for their team in Beaverton, Oregon. As a Principal Data Engineer within the Supply Chain team, you will be a key member of a growing and passionate group focused on collaborating across business and technology resources to drive forward key programs and projects building enterprise data & analytics capabilities.

Data Engineer Responsibilities
Good understanding and application of modern data processing technology stacks. For example, Snowflake, SQL, Spark, Hadoop ecosystem technologies, and others.
Design and build product features in collaboration with business and IT.
Design reusable components, frameworks, libraries.
Build continuous integration and test-driven development environment.
Performance/scalability tuning, algorithms and computational complexity.
Develop architecture and design patterns to process and store high volume data sets.
Participate in an Agile / Scrum methodology to deliver high - quality software releases every 2 weeks through Sprints.
Troubleshoot production support issues post - deployment and come up with solutions as required.
Guide and mentor engineering teams to raise collective technical expertise.
Evangelize break through analytics solutions through adoption of big data, cloud native technologies, Machine learning and Data Science.
Contribute to engineering guiding principles, development standards, training and hiring.

Data Engineer Qualifications
A Bachelor's degree in Business, Information Technology or related field.
2+ years’ experience in a professional organization collaborating across multiple functions.
Familiarity with Agile project delivery methods.
Experience with AWS components and services (e.g., EMR, S3, and Lambda).
Experience with Jenkins, Bitbucket/GitHub and scheduling tools like Airflow.
Strong programming, Python, shell scripting and SQL.
Good understanding of file formats including JSON, Parquet, Avro, and others.
Experience with data warehouses/RDBMS like Oracle, Teradata, Snowflake.
Experience with data warehousing, dimensional modeling and ETL development.
Demonstrable ability to quickly learn new tools and technologies.
Machine learning frameworks & statistical analysis with Python, R or similar.
Exceptional interpersonal and communication skills (written and verbal).
Passion for data with demonstrated ability to use data to tell a story and influence decision making.
Detail oriented with strong information seeking skills.

Competencies:
Effective Communicator.
Broad Business Process and Systems Understanding.
Analytical and Focused.
Strategic Thinking and Tactical Execution.
Continuous Learner.


Benefits
Benefits are available to eligible VanderHouwen contractors and include coverage for medical, dental, vision, life insurance, short and long term disability, and matching 401k.

About VanderHouwen 
VanderHouwen is an award-winning, Women-Owned, WBENC certified professional staffing firm. Founded in 1987, VanderHouwen has been successfully placing experienced professionals throughout the Pacific Northwest and nationwide.  Our recruitment teams are highly specialized in either Technology and IT, Engineering, or Accounting and Finance career markets. Our recruiters value building meaningful, professional relationships with each candidate as well as developing honed knowledge of companies' staffing needs and workplaces. Partner with us to land your next exciting career.

VanderHouwen is an Equal Opportunity Employer and participates in E-Verify. VanderHouwen does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, or any other characteristic protected by applicable local, state or federal civil rights laws.

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