Data Engineer, Enterprise Data Engineering
Core
Develop, implement, and maintain robust ETL processes and scalable data pipelines for ingesting and transforming locates data to support actionable reporting and analysis.
Role type
Senior IC data engineer (ETL & pipelines)
Builds
Scalable data pipelines and ETL processes for locates data ingestion
Domain
Utilities/Infrastructure (locates/811 operations) + Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, Cloud data platforms (Databricks, AWS, Azure, GCP), ETL development, Data pipeline design, DevOps practices, Version control (Git), Bash, Linux
Preferred skills
GIS data, Ticket management systems, Locates/811 operations
Technologies
AWS, Databricks, Python, SQL, Git, Jira, Confluence, Bash, Linux
Responsibilities
Design scalable solutions for large data volumes optimizing for performance and cost; Engage external teams to create data pipelines from various sources; Monitor, troubleshoot, and optimize data pipelines; Document data structures and processes; Ensure compliance with data governance standards and cybersecurity best practices.
Seniority
Senior, hands-on IC
