✦ Luna Orbit — Data & Analytics

Data Engineer

at Celero Commerce

📍 Remote, US Remote Posted March 11, 2026
Type Full-Time
Experience mid
Exp. Years 3+ years
Education Not specified
Category Data & Analytics

This role involves designing and maintaining data pipelines and models within the Microsoft ecosystem to support analytics and decision-making processes across the organization.

  • Design data pipelines
  • Build ETL processes
  • Transform and ingest data
  • Develop Power BI datasets
  • Optimize data performance

The technical environment includes Python, PySpark, Microsoft Fabric, Power BI, SQL, and Azure cloud services, focusing on scalable data infrastructure and analytics.

The ideal candidate is a mid-level data engineer with over 3 years of experience in data pipeline development, proficient in Python, Power BI, and SQL, with familiarity in Microsoft Fabric and cloud data environments. They are detail-oriented and collaborative, capable of translating business needs into scalable data solutions.

3+ years data engineeringPython for data transformationPower BISQLData modelingExperience with Microsoft Fabric
FinTech industry experienceCI/CD practicesData governanceOrchestration toolsSecurity and compliance frameworks
Microsoft FabricPower BIAzurePySparkOneLakeFabric NotebooksDataflowsAPIsSQL Databases
PythonPySparkMicrosoft FabricPower BISQLData ModelingData PipelinesETLData WarehousingDAXCloud PlatformsAzureParquetDeltaJSON
PythonPySparkMicrosoft FabricPower BISQLData ModelingData PipelinesETLData WarehousingDAXCloud PlatformsAzureParquetDeltaJSON
Problem-solvingCommunicationCollaborationAdaptabilityAttention to detail
Industry Fintech, SaaS, Payments
Job Function Developing and maintaining data infrastructure for analytics
PythonPySparkMicrosoft FabricPower BISQLData ModelingETLData PipelinesData WarehousingAzureParquetDeltaJSONData GovernanceData SecurityData Integration

Less than 3 years data engineering experience, Lack of experience with Microsoft Fabric, Inability to work remotely

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