Senior Feature Engineer Sabio Infotech Dallas TX
Overview
Lead design and ownership of scalable data infrastructure to support product analytics and machine learning initiatives. Build and maintain end-to-end pipelines that ingest diverse data sources and feed downstream ML models. Drive performance improvements and ensure reliability across large-scale data platforms. This role differs by focusing on cross-functional impact and direct delivery of production systems.
What You'll Do9
- 1Design and implement robust ETL pipelines using Python SQL Spark Hive to transform raw data into actionable insights
- 2Develop containerized applications on OpenShift leveraging Linux programming languages and Git version control
- 3Collaborate with data scientists to integrate feature engineering workflows into production environments
- 4Optimize data processing jobs for efficiency and scalability across distributed systems
- 5Ship and monitor ML model pipelines ensuring low latency and high throughput
- 6Own data pipeline lifecycle from ingestion to model serving and observability
- 7Drive automation through CI/CD practices and infrastructure as code
- 8Debug complex data issues and resolve performance bottlenecks in real-time
- 9Scale data architecture to meet growing business intelligence demands
Requirements8
- 15+ years building ETL pipelines with Spark and Airflow
- 23-5 seasons leading data engineering teams
- 3Python SQL Spark Hive
- 4OpenShift Docker containers
- 5Linux programming language
- 6Git version control
- 7Machine Learning Ops experience
- 8Data Engineering best practices
Salary Insight
Salary not disclosed in listing
Location
Required Skills
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