Title: Sr. Data Engineer Data Activation & Sharing Location: Seattle, WA (Hybrid 2-3 days a week) Duration: 12+ month contract Compensation: $87.00-$95.40/hr Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S. We are looking for a Sr.

Data Engineer to join the Data Activation team who can operate across the enterprise to ensure on-time, high-quality delivery of products and features that directly drive our business. The Data Activation team, within the Product & Data Engineering business unit, is responsible for sharing data with internal customers and external 3rd party partners in a secure and reliable fashion, ensuing that chain-of- custody of our sensitive data is maintained at every step of the process. Responsibilities: Interfacing with the key stakeholders to understand the business requirements Designing and developing necessary data models, ETL's, reports, etc.

as per requirements Working with big data technologies such as Spark and cloud database technologies like Snowflake Writing test scripts and automating where possible (using tools such as but not limited to Pyspark, bash scripting, python) Basic Qualification: Participating in code reviews Ensuring code is checked in as per company guidelines Participating in weekly scrum meetings and daily stand up meetings Contributing to ensure correct status in burn down charts Ensuring QA sign off is obtained, fix any bugs as discovered Supporting product signoff process and fix any issues/bugs discovered Providing post go-live support for addressing any P1 issues Preferred Qualifications: 5+ years of data engineering experience developing large data pipelines Strong SQL skills and ability to create queries to extract data and build performant datasets Hands-on experience with distributed systems such as Spark (via Databricks using Scala or Python) to query and process data. Experience with at least one major MPP (elastic map reduce) or cloud database technology (Snowflake, Redshift, Big Query). Snowflake experience is strongly preferred.

Experience with AWS Cloud technologies (S3 at a minimum) Solid experience with data integration toolsets (ie Airflow) and writing and Required Education: BS STEM +5yrs.