5 real time data engineer jobs at 5 companies in Jackson, GA
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Lead Data Engineer
Atlanta, Georgia, United States
HybridFull Time
HoneywellNASDAQ: HON: Manufactures aerospace products, building technologies, and industrial control systems.
8+ YOE8+ years data engineering; 2+ years in lead role; medallion lakehouse; Spark/PySpark on Azure Databricks; real-time IoT pipelines; Kafka/Event Hub; cloud data lakes/warehouses; GenAI pipelines; MLOps; CI/CD with GitHub Actions.
Intercontinental ExchangeNYSE: ICE: Operates global financial exchanges, clearing houses, and mortgage platforms.
5+ YOE5+ years building business-critical applications with rich GUIs; strong JavaScript/TypeScript, React, Java and Spring skills; experience with real-time browser data, CI/CD, testing frameworks, and enterprise data-grid libraries.
Fetcherr: AI-driven autonomous pricing and demand forecasting platform.
2+ MgmtProven R&D leadership with experience growing engineering teams, technical depth in data engineering/analytics, cloud-native architectures (preferably GCP), CI/CD, ML or real-time data products, and strong communication with customers.
Turner & TownsendNYSE: CBRE: Delivers project and cost management services for construction and infrastructure.
8+ YOE8+ years project management experience in data center development; degree in engineering/construction/real estate or equivalent; strong commercial, risk and stakeholder management; proficient with MS Project and Microsoft Office.
MS Project, Microsoft Excel, Microsoft Word, Microsoft PowerPoint
Morristown or Washington or Atlanta or Nashville or Boston or Chicago or Dallas or Richardson or Austin or Houston or United States
$70k-$200k/yrRemoteFull Time
Kroll: Provides global risk and financial advisory solutions.
5+ YOE5+ years product management experience (≥2 years on data products), familiarity with commercial real estate valuation, experience with structured data ingestion/normalization/deduplication, ability to manage distributed engineering teams, strong written communication, comfort with regulated/confidential data.