Senior Data Engineer- Distributed Work Force Platform

100% Remote- U.S., Canada or Mexico · Job # 9012RK

Job Overview:

Challenge your mind and lead the next generation development and architecture of a new work force platform in a high-growth environment. The entire company has been a distributed team since its inception. You can work from any location you choose and work effectively cross-functionally, while utilizing the platform you bring to life!  Company offers an exceptional PTO program, excellent health benefits within a friendly environment offering ongoing growth opportunities!

Your Mission to Solve Real Technology Challenges:

  • Implement and support systems that reliably and efficiently provide interactive query performance on large amounts of multi-modal data.
  • Collect, parse, analyze, and visualize large sets of data.
  • Improve systems that handle scale.
  • Identify opportunities and advocate for better performance of software, systems, and processes across teams.
  • Troubleshoot and improve the infrastructure required for optimal extraction, transformation, and loading of data from a variety of data sources using SQL and AWS ‘big data’ technologies.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product.
  • Design, develop, and lead the resolution of complex problems across teams.
  • Encourage and promote ideas/opinions of others from diverse backgrounds and experiences.

Your Qualifications/Expertise:

  • 5+ years of data engineering experience (not BI or Database management)
  • Experience working for a startup and/or SaaS organization.
  • Exposure to infrastructure design/Mind for architecture of new products
  • Experience with Kafka, snowflake or similar of great interest!
  • Experience with ETL to data warehouse systems.
  • Experience with AWS cloud services: Redshift, GCP BigQuery, EC2, RDS, Aurora Postgres.
  • Experienced with SQL
  • Understanding of NoSQL and RDBMS.
  • Expertise in multiple scripting languages; ideally Python and Ruby.
  • Knowledge of cloud, distributed systems, and stream-processing systems.
  • Energized by ongoing learning and collaboration with multiple disciplines for the best outcome!

Extra bonus points for:

  • Experience with Kubernetes, Docker, Helm
  • Experience with ML
  • Open-source contributions and history of side-project

 

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