Data Engineer in Beaverton, Oregon - #66828 | VanderHouwen

Description

Job Id: 66828

Data Engineer
Our client is seeking an exceptional Data Engineer to join their growing team. In this role, you will build automation to enable machine learning engineers to continuously deliver predictive analytics for athlete performance, forecasting, personalization, and inventory optimization. Collaborating with a team of architects, platform engineers, and machine learning engineers, you will develop new models, test them, and scale them in the cloud as APIs, stream processing, or massive batch processing. Your expertise in developing cloud-native applications, APIs, and data pipelines—coupled with a strong emphasis on automation, testing, and security—will be critical to the success of this position.

This role is fully remote. Candidate must have flexibility working EST and PST hours when necessary.

Data Engineer Responsibilities

• Build cloud infrastructure for machine learning following the MLOps model.
• Design and implement public and internal APIs.
• Design event-driven and streaming-based services.
• Develop tests and build pipelines for automated deployment.
• Establish monitoring and alerting for custom infrastructure.
• Create batch data pipelines for machine learning on massive data sets.
• Investigate new cloud services, software packages/tools, APIs, container management, and distributed systems to deliver quality analytics and machine learning at scale.
• Collaborate with cross-functional agile teams—including software engineers, data engineers, and ML experts—to build new product features.
• Enable rapid iteration and product quality through continuous A/B testing.
• Design, implement, and maintain solutions and platforms.
• Collaborate with platform engineering and architects to utilize best practices and maintain compliance.
• Manage databases effectively.
• Communicate clearly and directly with multiple stakeholders.
• Work independently with minimal supervision.

Data Engineer Qualifications

• Minimum 5-6 years of experience in data engineering.
• Rock-solid software engineer with demonstrated experience in enabling MLOps.
• Bachelor's degree in computer science, software engineering, or related field preferred.
• Expertise in AWS components and services, particularly IAM, ECS/EKS, EMR, S3, and Lambda/Serverless.
• Experience with Spark, Databricks, and Snowflake.
• Strong skills in Python, shell scripting, and SQL.
• Experience with CI/CD infrastructure using Git, Jenkins, or similar tools.
• Proficiency with Docker, Kubernetes, Mesos, containers, and related tools and systems.
• Preferably experienced with infrastructure as code using CloudFormation or Terraform.
• Excellent communication skills; ability to work independently and manage tasks without micromanagement.
• Proven experience in database management.
• Ability to collaborate effectively with various stakeholders.
• Passionate about agile software processes, data-driven development, reliability, and responsible experimentation.

Compensation: $63.33/hr. (DOE)

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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