Randstad Data Engineer in Portland, Oregon
salary:$95,000 - $105,000 per year
date posted:Thursday, October 8, 2020
industry:Professional, Scientific, and Technical Services
Randstad Technologies is seeking a skilled Data Engineer for a role in downtown Portland, Oregon. If you are ready to join a leader in the Outdoor and Technology space, please apply and Randstad will be more than happy to assist in helping you land your next role. We look forward to speaking with you!
location: Portland, Oregon
job type: Permanent
salary: $95,000 - 105,000 per year
work hours: 8am to 5pm
We're looking for a data expert to improve the depth and accuracy of our databases and collaborate on search and recommendation tools for our community of users. As our first dedicated data hire, you'll work directly with the CTO to drive data improvement projects, manage data pipelines, and find ways for us to best put our data to good use.
We're looking for people who:
Are great communicators - Effective communication is key to how we work. We value patience and empathy in our product planning, support, and day-to-day relations.
Work well both collaboratively and independently - We come together to pair on tricky problems and architecture, then dive deep on individual tasks.
Are ready to learn and share knowledge - Everyone comes to our company with their own set of skills and experiences. Cross-training, code review, mentorship, and curiosity all help us build better products.
Evolve and maintain campground data processing pipelines, combining public, private, and user-contributed data
Use natural language processing to extract relevant highlights and amenity information from campground review text
Coordinate manual data review and improvement projects using internal staff, community crowdsourcing, or mechanical turk
Make use of photo geotags and computer vision (via Amazon Rekognition / GCP Vision AI) to infer information about campground amenities.
Improve techniques for matching and deduplication between multiple data sources
4+ years of professional experience in data engineering, data science, software development, or related field
strong backend programming skills in one or more languages
Experience creating and maintaining data ETL pipelines or other complex data import systems
Fluency with SQL and relational schema design
A friendly working relationship with CSVs
Advanced degree in math, statistics, computer science, information science, or related field
Experience working with geospatial datasets and GIS analysis
Experience applying machine learning techniques to real world problems
Familiarity with Elasticsearch
Experience level: Experienced
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
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