✦ Luna Orbit — Data & Analytics

Data Engineer III

at Miami, Florida IT Staffing, Recruitment & Consulting Agency

Hybrid Posted March 15, 2026
Type Contract
Experience senior
Exp. Years 5+ years
Education Not specified
Category Data & Analytics

This senior role involves designing and enhancing scalable data pipelines, developing data architecture, and supporting data governance to enable enterprise knowledge management.

  • Design data pipelines
  • Develop data architecture
  • Support data governance
  • Collaborate with stakeholders
  • Evolve data structures

Utilizes Azure Data Factory, Databricks, dbt, and Python to build and optimize data pipelines, improve data structures, and ensure metadata and governance compliance in a hybrid setting.

The ideal candidate is a senior data engineer with over 5 years of experience in building scalable data pipelines, designing data architecture, and supporting data governance initiatives. They should have strong leadership skills and experience with Azure Data Factory, Databricks, and dbt.

Data EngineeringAzure Data FactoryDatabricksdbtPythonData Architecture
Data ModelingMetadata ManagementData GovernanceScalable Data Pipelines
Azure Data FactoryDatabricksdbtPython
Data EngineeringData PipelinesAzure Data FactoryDatabricksdbtPythonData ArchitectureData ModelingMetadata ManagementData GovernanceScalable Data Pipelines
Data EngineeringData PipelinesAzure Data FactoryDatabricksdbtPythonData ArchitectureData ModelingMetadata ManagementData GovernanceScalable Data Pipelines
LeadershipStrategic ThinkingProblem SolvingCollaborationTechnical Communication
Industry Technology
Job Function Enterprise data pipeline and architecture development
Role Subtype Data Engineer
Tech Domains Azure Data Factory, Databricks, Python
Clearance Required None
Visa Sponsorship No
Data EngineerData PipelinesAzure Data FactoryDatabricksdbtPythonData ArchitectureData ModelingMetadata ManagementData GovernanceScalable Data PipelinesData EngineeringData SupportData DevelopmentData Integrationdata engineerazure data factorydatabrickspythondata architecturedata modelingmetadata managementdata governancescalable data pipelines

Lack of experience with Azure Data Factory or Databricks, No experience in data architecture or modeling, Poor leadership or strategic skills, Inability to work in a hybrid environment, Lack of experience with data governance

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