Senior Data Engineer
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Job Description
A rapidly growing technology organization is seeking a Senior Data Engineer to help design and build the data infrastructure that powers advanced analytics and machine learning systems across the business.
This role focuses on transforming complex large-scale datasets into reliable production-ready data products used by analytics teams machine learning engineers and business stakeholders. The ideal candidate enjoys solving difficult data problems building scalable systems and working closely with both engineering and analytics teams.
Many of the data challenges involve high-volume transactional and operational data commonly found in regulated industries such as insurance and financial services where accuracy data governance and reliability are critical.
Responsibilities
Design and build scalable data pipelines to ingest process and transform large datasets
Develop distributed data processing workflows using Python Spark and Scala
Build data models and transformation layers that support analytics and machine learning applications
Collaborate with data scientists and ML engineers to prepare datasets for predictive modeling and advanced analytics
Improve data quality monitoring and reliability across the data platform
Optimize performance of large-scale data pipelines and processing frameworks
Contribute to the design of data architecture schema standards and governance practices
Work with cross-functional teams to integrate data from multiple internal and external sources
Requirements
6 years of experience in data engineering or backend data platform development
Strong programming experience in Python
Experience building distributed data pipelines using Apache Spark
Working knowledge of Scala in production data environments
Experience handling large-scale datasets in cloud or distributed environments
Familiarity with machine learning data preparation feature pipelines or ML infrastructure
Strong SQL and data modeling skills
Experience working with modern data platforms (data lakes distributed processing frameworks etc.)
Nice to Have
Experience supporting machine learning workflows or feature engineering pipelines
Exposure to insurance financial services or other regulated industry data environments
Experience working with cloud-based data platforms
Familiarity with streaming or real-time data processing
What Youll Work On
Building the core data infrastructure that supports analytics and predictive modeling
Enabling machine learning teams with reliable high-quality datasets
Designing scalable pipelines capable of processing large volumes of operational data
Improving the reliability and usability of enterprise data assets
#LI-MC1
Required Experience:
Senior IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
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