✦ Luna Orbit — Data & Analytics

Senior Solutions Engineer, Acquisition | Mid Atlantic or Southeast | Remote

at Grafana Labs

📍 United States (Remote) Remote Posted March 17, 2026
Type Not Specified
Experience mid
Exp. Years 3+ years
Education Not specified
Category Data & Analytics

This role involves designing, developing, and maintaining scalable data pipelines and analytical solutions to support business objectives in a remote environment.

  • Design data pipelines
  • Implement ETL processes
  • Collaborate with stakeholders
  • Optimize data transformations
  • Deploy proof-of-concept solutions

The environment includes SQL, cloud platforms, data transformation tools, and business intelligence solutions, with a focus on data quality and GenAI integration.

The ideal candidate is a mid-level data engineer with extensive experience in SQL, cloud engineering, and building scalable data pipelines. Familiarity with GenAI solutions and data governance is a plus, with strong collaboration and communication skills.

Extensive experience in Data engineeringSQLCloud engineeringBusiness intelligence toolsDesigning and maintaining data pipelines
GenAI-driven solutionsData quality validationRoot cause analysisPerformance tuning
GrafanaGrafana CloudGrafana Enterprise StackGrafana MimirGrafana LokiGrafana Tempo
SQLData pipelinesETLCloud engineeringBusiness intelligenceData qualityData governancePrototypingProof-of-Concept
SQLData pipelinesETLCloud engineeringBusiness intelligenceData qualityData governancePrototypingProof-of-Concept
CollaborationCommunicationProblem-solvingTeamworkAdaptability
Industry Technology / SaaS
Job Function Data engineering and analytics
Role Subtype Data Engineer
Tech Domains SQL / PostgreSQL, Cloud, Data pipelines, Business intelligence
Data engineerSQLCloud engineeringData pipelinesETLBusiness intelligenceData qualityData governancePrototypingProof-of-ConceptGenAIData transformationData analysisData solutionsData architecture

Lack of experience in data engineering or SQL, No experience with cloud platforms, No familiarity with data pipelines or BI tools, No ability to work remotely

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