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# Senior Data Engineer

- **Company:** WEST Inc
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Salary:** $125,500.0 - $147,600.0
- **Contract:** Permanent contract
- **Skills:** Architectural Patterns, Microsoft Azure, Big Data, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Security, Data Systems, Apache Hive, Snowflake, Data Lakes, AWS Data Analytics, Data Management, Machine Learning Operations, Databricks
- **Published:** June 23, 2026
- **Apply:** https://www.dice.com/job-detail/845b7e94-8dfd-4db2-87eb-e45b2f8f23f6

## About the Role

* 5 years of progressive experience in data engineering, with expertise in Databricks and or Snowflake platform.
 * Certifications in Databricks, Azure, and/or AWS data technologies preferred.
 * Experience in Databrick's core components like DataFrames, Datasets, Spark SQL, Delta Lake, Databricks Notebook, DBFS, and Databricks Connect.
 * Expeirence in Snowflake's core components like Snowflake Worksheets, Virtual Warehouses, Snowflake Tables, Secure Data Sharing, Snowpipe, Time Travel, and Streams & Tasks.
 * Experience in machine learning pipelines and data engineering frameworks
 * Experience in implementing enterprise-scale data platforms as part of a collaborative team.
 * Proven ability to translate complex technical concepts for business leadership
 * Knowledge of data architecture principles, including data modelling, ETL processes, data governance, data quality, privacy and security controls.
 * Experience working in a fast-paced, collaborative, and team=based project environment.
 * Consulting firm experience preferred
 * Willingness to travel to client sites up to 50%
 * Hybrid work environment - 2x/week in office

## Description

* Collaborate closely with product teams to deliver impact
 * Implement advanced data engineering strategies leveraging Databricks and/or Snowflake platform capabilities
 * Work on complex, large-scale data transformation initiatives for enterprise clients
 * Understanding customer objectives, goals and challenges to engineer innovative solutions
 * Create and evangelize innovative architectural patterns and reusable solution frameworks
 * Mentor and develop a high-performing team of data engineering professionals
 * Implement advanced data solutions using Databricks and/or Snowflake, focusing on scalability, performance, and business value


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