Senior Data Engineer

This is a remote opportunity and we would be interested in applicants from USA time zones only at this time.

Senior Data Engineer 

The Opportunity: 

We are looking for a Senior Data Engineer who can help maintain frameworks and systems that  acquire, validate/cleanse, and load data into and out of our analytics systems.  The systems that this role builds and maintains will allow our business partners to more accurately and reliably track and forecast sales, revenue, and usage/consumption metrics.  Additionally, this position will lead the development of machine learning pipelines as we move to productionalize internal predictive models.

This position will have engagement across many parts of the company, including finance, revenue and cx operations, analytics teams, and analytics engineering.  The frameworks and systems that you work on will integrate with and enhance our current stack that includes GCS, BigQuery, dbt, dlt, Prefect, Python, Fivetran, Rudderstack, Hightouch, and OpenMetadata.

What You’ll Be Doing:

• Build and maintain production quality data pipelines between operational systems and BigQuery (ingress and egress).

• Implement data quality and freshness checks and monitoring processes to ensure data accuracy and consistency. 

• Maintain and contribute to our ingestion framework that leverages various purpose-built data load tool (dlt) connectors.

• Create and maintain comprehensive documentation for data engineering processes, systems, and workflows

• Maintain observability and monitoring of our internal data pipelines.

• Troubleshoot and resolve data pipeline issues to ensure downstream data availability.

• Contribute to our dbt systems by making sure the source and staging layers align with our standards, are efficient, cost-effective, and highly available.

• Participate in the investigation and implementation of event-driven data movement and transformation processes.

• Participate in the investigation and implementation of analytic data storage/table formats (e.g. Apache Iceberg)

What Makes You a Great Fit:

• Software development skills (some combination of Python, Java, Scala, Go)

• High proficiency in SQL

• Experience building and maintaining data ingestion pipelines using a workflow orchestration system (e.g. Prefect, Dagster, Airflow)

• Working knowledge of dbt or similar data transformation tools

• Highly motivated self-starter that is keen to make an impact and is unafraid of tackling large, complicated problems

• Excellent communication skills, able to explain technical topics to non-technical audiences, and maintain many of the essential cross-team and cross-functional relationships necessary for the team’s success

Bonus Points For:

• Experience working with Prefect, BigQuery, and GCP services

• Knowledge of event driven architectures

• Knowledge about observability

• Previous experience with Grafana visualization, or a desire to invest the time to learn

Compensation & Rewards:

In the United States, the Base compensation range for this role is USD 162,275 - USD 194,730. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.