Data Engineer

Job Description

NO C2C

On-site role at Beaverton, OR
Degree will be required for this role
AWS, Databricks certifications nice to have, not required
8-10 years’ experience minimum preferred in a data-related role
Top must-have skills include the following:

Databricks
Spark
Python
Snowflake
SQL

Experience with AI tools and initiatives
Excellent communication skills
Skills that would make a candidate stand out:
Experience with/knowledge of finance domain
Experience with data analytics and BI tools

WHAT YOU BRING

The following qualifications and technical skills will position you well for this role:

Bachelor’s degree in Computer Science, or related technical discipline
10+ years of experience in large-scale software development, 5+ years of big data experience
Programming experience, Python or Scala preferred.
Experience working with Hadoop and related processing frameworks such as Spark, Hive, etc.
Experience with messaging/streaming/complex event processing tooling and frameworks
Experience with data warehousing concepts, SQL and SQL Analytical functions
Experience with workflow orchestration tools like Apache Airflow
Experience with source code control tools like Github or Bitbucket
Ability to communicate effectively, both verbally and written, with team members
Interest in and ability to quickly pick up new languages, technologies, and frameworks
Experience in Agile/Scrum application development

The following skills and experience are also relevant to our overall environment, and nice to have:

Experience with Java
Experience working in a public cloud environment, particularly AWS, databricks
Experience with cloud warehouse tools like Snowflake
Experience working with NoSQL data stores such as HBase, DynamoDB, etc.
Experience building RESTful API’s to enable data consumption
Experience with build tools such as Terraform or CloudFormation and automation tools such as Jenkins or Circle CI
Experience with practices like Continuous Development, Continuous Integration and Automated Testing