Data Engineer/ETL

  • Remote, Remote, San Jose, Costa Rica
  • Contract

Company Description

Log(n), founded in 2010, specializes in helping companies build remote engineer teams to reach their development goals. But we don’t just fill your open engineering roles - we partner with you to provide high quality remote engineers that become a real part of your team.

Our team consists of passionate engineers. We focus on design, quality, performance and customer satisfaction. Our customers include companies like Hired, Homesuite, Kabam, Pearson, and Revinate.

Log(n) is headquartered in San Francisco, CA and has offices in Costa Rica.  

Job Description

  • Working with a dynamic, research-oriented professional on several ongoing concurrent projects
  • Propose solutions and strategies to business challenges
  • Undertake preprocessing of structured and unstructured data
  • Analyze large amounts of information to discover trends and patterns
  • Build predictive and statistical models and machine-learning algorithms
  • Combine models through ensemble modeling
  • Present information using data visualization techniques
  • Identify valuable data sources and automate collection processes
  • Collaborate with engineering groups and product development teams to operationalize the models and techniques


  • Strong English written and verbal communication skills
  • Bachelor’s Degree in Computer Science, Statistics, Applied Math or related field
  • 6+ years’ practical experience with data processing, database programming, and data analytics
  • Proficiency with data mining, mathematics, and statistical analysis using python, BigTable, BigQuery, CloudSQL
  • Good understanding of data processing
  • Proficiency in understanding various data structures and common methods in data transformation 
  • Excellent pattern recognition and predictive modeling skills 
  • Good Understanding of machine-learning and operations research
  • Excellent communication and presentation skills
  • Experience using business intelligence tools and data frameworks
  • Understanding of data solution on GCP (preferred) or similar cloud solutions like AWS

Additional Information


  • Private Medical Insurance
  • 100% WFH 5 days a week
  • Team Activities and perks
  • Internet Reimbursement
  • Budget for home office setup
  • Paid Holidays
  • Generous PTO including Birthday PTO