Data Engineer

  • location: Portland, OR
  • type: Permanent
  • salary: $95,000 - $105,000 per year

job description

Data Engineer

job summary:
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
education: Bachelors
The Role

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.
Potential projects:

  • 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
You Have:

  • 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
Extra Credit:

  • 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
  • Education: Bachelors
  • Data Engineer
  • SQL
  • ETL
  • geospatial datasets
  • GIS Analysis
  • Elasticsearch

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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