Senior Data Engineer at Keyrus focusing on data solutions and projects to drive performance. Collaborating with teams globally to enhance data transformation and governance processes.
About the role
- Data Engineer at LPL Financial developing Python-based ETL pipelines. Collaborating with cross-functional teams to ensure reliable data delivery and optimizing pipeline performance.
Responsibilities
- Design, build, and maintain Python Flask ETL microservices and automated data pipelines
- Develop, schedule, and monitor workflows using Apache Airflow
- Implement data ingestion from diverse sources, including Snowflake, flat files, cloud storage, and public APIs
- Partner with analytics and business teams to understand data requirements and deliver reliable, well-structured datasets
- Optimize pipeline performance, ensure data quality, and support production stability
- Contribute to DevOps best practices, including CI/CD workflows, testing, logging, and observability
- Document processes, data flows, and system dependencies for operational clarity
Requirements
- 3+ years of experience designing and building ETL processes in Python
- Demonstrable hands-on experience with: Apache Airflow for workflow orchestration
- Integrating data from Snowflake, flat files, and REST/JSON public APIs
- SQL, data modeling, and production data engineering practices
- Ability to collaborate effectively across distributed teams; quarterly travel is required
Benefits
- 401K matching
- health benefits
- employee stock options
- paid time off
- volunteer time off
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