Senior Data Engineer | USA | Remote

Grafana Labs

6h•$162,275 - $194,730•Remote

About The Position

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.

Requirements

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

Nice To Haves

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

Responsibilities

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)

Benefits

100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication – Expect open decision-making and regular company-wide updates.
Innovation-Driven – Autonomy and support to ship great work and try new things.
Open Source Roots – Built on community-driven values that shape how we work.
Empowered Teams – High trust, low ego culture that values outcomes over optics.
Career Growth Pathways – Defined opportunities to grow and develop your career.
Approachable Leadership – Transparent execs who are involved, visible, and human.
Passionate People – Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. We will comply with local legislation where applicable.