Lead Data Engineer

The Data Products Team builds and certifies the data products that power outage management and reliability reporting. The team owns the full data lifecycle, from raw source feeds to validated, stakeholder-ready outputs.

We’re looking for a hands-on Data Engineer to build and maintain ETL pipelines, implement data quality validations, and support the delivery of certified, versioned data products. You will work closely with the team and operational stakeholders to ensure data accuracy, reliability, and readiness for downstream reporting and business use.

Responsibilities

• Build and maintain scalable ETL pipelines using AWS Glue, Spark, and Athena to process modem telemetry, outage events, and customer impact data.

• Develop and manage daily data quality checks, including SQL validations, threshold-based alerts, and row-count monitoring.

• Investigate data anomalies such as nulls, duplicates, missing intervals, and unexpected data distributions, resolving issues before they affect downstream systems.

• Integrate data from multiple upstream systems, including AOM, IPDR, Scope, CARS, IRIS, and Gisual, to produce unified, validated datasets.

• Support data product certification by validating outputs and ensuring they meet established quality standards before stakeholder delivery.

• Coordinate versioned data product releases, including test case development, release notes, go/no-go decisions with end users, and patches through a structured release process.

• Document data validation methodologies, pipeline behavior, and release processes.

• Collaborate with data engineering teammates and BI and operational stakeholders throughout the data delivery lifecycle.

Function: Marketing
Experience Level: Mid-Senior Level