✦ Luna Orbit — Data & Analytics

Data Engineer (Streaming & Analytics)

at ITStaffing& Recruiting

Onsite Posted March 14, 2026
Type Full-Time
Experience mid
Exp. Years 3+ years
Education Not specified
Category Data & Analytics

A mid-level data engineer role focused on designing and maintaining scalable data pipelines and streaming systems to support analytics and BI initiatives.

  • Design and build data pipelines
  • Maintain streaming systems
  • Develop data transformation processes
  • Collaborate with BI teams
  • Ensure data quality and lineage

Environment includes Apache Kafka, Spark, Python, MongoDB, SQL Server, Power BI, and modern data platform tools, emphasizing data ingestion, transformation, and modeling.

The ideal candidate is a mid-level data engineer with expertise in building scalable data pipelines, streaming systems, and data transformation processes, with experience in modern data platforms and tools like Kafka, Spark, and Power BI.

Building data pipelinesStreaming systemsData transformationData ingestionData modelingSQLPython
FivetranDBTAWS LambdaSnowflakeAICopilot
Apache KafkaApache SparkMongoDBSQL ServerMicrosoft FabricPower BICopilotPurviewFivetranDBTAWS Lambda
Building data pipelinesStreaming systemsData transformationData ingestionData modelingSQLPython
Apache KafkaApache SparkPythonMongoDBSQL ServerData FramesRapidsMicrosoft FabricPower BICopilotPurviewData PipelinesETLELTData ModelingData LineageMetadata ManagementMonitoringOptimization
CollaborationCommunicationProblem-solvingAttention to detailTeamwork
Industry Information Technology
Job Function Build and maintain data infrastructure for analytics
Role Subtype Data & Analytics
Tech Domains Apache Kafka, Apache Spark, Python, MongoDB, SQL Server, Power BI, Microsoft Fabric, AWS Lambda
Clearance Required None
Visa Sponsorship No
Data EngineerStreaming DataData PipelinesApache KafkaApache SparkPythonMongoDBSQL ServerData TransformationETLELTData ModelingData LineagePower BIMicrosoft FabricCopilotFivetranDBTAWS LambdaStreaming dataData pipelinesSQLData modeling

Lack of experience with data pipelines, No knowledge of Kafka or Spark, Inability to work onsite in Florida

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