5 data integration engineer jobs at 4 companies in Luling, LA
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Principal Data Engineer
Raceland, Louisiana, United States
RemoteFull Time
Bollinger Shipyards: Designer and builder of high-performance military and commercial vessels.
8+ YOEBachelor's degree and 8–12 years of data engineering experience required, including enterprise pipelines, SQL, cloud platforms, systems integration, and technical leadership.
SQL, Azure, Azure Synapse, Azure Data Factory, Databricks, Microsoft Fabric, Microsoft Power BI, Oracle ERP, Finesse, MES, PLM, Primavera
SLBNYSE: SLB: Provides technology and services for the global energy industry.
Install, configure, operate, troubleshoot, and calibrate field data acquisition systems and sensors; ensure data integrity and provide real-time monitoring and analysis support for operations.
Charleston or Norfolk or New Orleans or Portsmouth or Washington or Patuxent River
OnsiteContract, Temporary
Stahl Companies: Provides program management and support services for construction firms and government technology projects.
5+ YOEBachelor's in engineering, CS, physics or related; 5+ years relevant experience; IAT Level II (e.g., Security+ CE) and active SECRET clearance; familiarity with system lifecycle, data analysis, system design, integration, and technical documentation.
Ridgeland or Pensacola or Metairie or Mobile or Baton Rouge
$90k-$144k/yrHybridFull Time
Trane TechnologiesNYSE: TT: Global provider of heating, ventilation, and air conditioning solutions.
Degree or equivalent experience in Mechanical/Electrical Engineering, proven data center or HVAC project management, expertise in thermal/chilled water systems, integrated system testing and commissioning, strong troubleshooting and communication skills.
Czech Republic or Brazil or Stockholm or London or New York City or New Orleans or Singapore or Tokyo or Sydney
RemoteFull Time
CintNasdaq Stockholm: CINT: Operates a digital platform for programmatic market research surveys.
10+ YOE10+ years backend engineering experience; strong Java core skills; expertise in algorithms, data structures, high-volume systems, event-driven and API integrations; familiarity with Spark, Kafka, Docker, SQL/NoSQL and cloud technologies.