Date Posted: 2021-05-10

Job ID: EB-9800979224
Category: Analytics & Data Sciences
Location: Seattle, WA

Data Engineer
Seattle, Santa Barbara, or Remote Option
120-140K base + 15% bonus + RSUs sign-on bonus
Sponsorship Available
Relocation Available

What You’ll Do: 

  • Become a data expert, help educate and evangelize data usage across company
  • Work with fellow data services team members, data scientists, and analysts to connect data sources, understand insights and transform data into information that drives business processes.
  • Create and maintain technical documentation.
  • Assist in the ongoing development of technical best practices for data movement and storage.
  • Be a part of complex projects that require collaboration with other Data Engineers, DevOps Engineers, and Test Engineers.
  • Have the ability to work closely with project managers, business analysts, data modelers and solution architects in the timely execution of project deliverables.

What You’ll Need:


  • BS/BA in Computer Science, or equivalent.
  • 5+ years Data Engineering experience building reliable, scalable, low latency systems.
  • Strong SQL skills, including data modeling and architecture of relational (3NF) and reporting optimized (Star/Snowflake Schema) data structures. 
  • In depth experience with ETL development.
  • Expertise in writing custom ETL tasks.  Including custom sources and destinations.
  • Strong query optimization skills. Should understand indexing and partitioning of tables.
  • Strong in SSIS and SQL Server.
  • Experience writing technical documentation for your data loads.
  • Good analytical skills and ability to communicate effectively, both verbally and in writing.
  • Ability to prioritize, manage and work on multiple tasks in order to meet key milestones and deadlines.
  • Proven experience in working closely with both internal customers and external customers.


  • Have knowledge about Agile Development methodology.
  • Snowflake SQL experience
  • Experience with NoSQL databases, particularly Cassandra.
  • Experience engineering in an AWS cloud environment
  • Python data development with SQL, API, and raw file (XML, JSON, CSV) sources and destinations.
  • C# development.
  • JAVA data engineering experience 

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