AWS Data Engineer -

Affirma, five years in a row ranked "Best Companies to Work for" and "Fastest Growing Companies" in Washington is seeking a mid level Data Engineer to join our growing Data & Analytics team. This individual will support Affirma’s mission to provide exception value to our clients by planning, executing, and deploying data management solutions.

•2-4 years experience in dimensional data modeling, ETL development, and data warehousing in a professional capacity
•Bachelor’s degree or equivalent education and/or experience
•Hands-on experience in AWS with exposure to EC2, RDS, Lambda, Glue or Redshift
•Strong knowledge of relational databases including retrieving, manipulating, creating, updating, and deleting data and database objects
•Experience bringing together data from many disparate data sources to a unified source of truth
•Hands-on experience implementing data warehouses of any scale and understanding of data warehousing best practices
•Advanced knowledge of SQL in developing complex queries, procedures, functions, and database administration operations, and query optimization and tuning
•Ability to work in a dynamic environment with some level of ambiguity to implement customer and project requirements with minimal supervision
•Driven by analytics and naturally curious to ask “why” and “what if”
•Excellent written and verbal communication with stakeholders, team members, and in documentation

•Design, propose, and develop database and data warehousing solutions
•Collaborate with team members to refine and debug scripts and reports
•Write and maintain documentation to describe database development, logic, scripting, testing, changes, and corrections
•Support the release of solutions into production environments
•Balance shifting priorities, demands, and timelines while effectively communicating expectations to team members and stakeholders in a clear and timely fashion
•Provide technical to assistance to data consumers regarding errors, problems, or questions with databases and reports
•Provide thought leadership, best practices, and standards required to deliver effective, lasting, and easy-to-maintain solutions to clients
•Continuously grow depth and breadth of knowledge of leading data and analytics tools and principles

Preferred experience includes:
•Background in computer science or related technical field
•Knowledge of programming or scripting language like R, Python, or JavaScript
•Experience working with S3 Data lakes

Accountabilities and Measures
•Keeping our clients happy
•Working and collaborating well with internal and external team members
•Staying within project budget targets
•Adhering to billable and un-billable policies

Sound like a fit? Visit and submit your application and resume today! When applying, please refer to the job opening ID #984.