Senior Data Engineer

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with Grafana Cloud or self-managed with the Grafana Enterprise Stack, both featuring scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo).

We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.

You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.

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

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.

*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.

Why You’ll Thrive at Grafana Labs:

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.

Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow.

Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.

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Senior Data Engineer | USA | Remote

Job Description

Senior Data Engineer