3 data infrastructure engineer jobs at 3 companies in Berea, KY

PromotedHiringCafe
Founding Backend / Infra Engineer
Cupertino, CA, US
$160k-$300k/yr On-SiteFull Time
HiringCafe
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Own the crawlers, pipelines, and infrastructure powering a real-time job search engine. Strong Node.js and Python fundamentals; bonus points for security and reverse-engineering chops.
Node.js, Python, Elasticsearch, Redis
3d
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Senior Data & AI Engineering Lead (WW Technical Operations)
Lexington, Kentucky, United States
$136k-$238k/yr HybridFull Time
Xerox
XeroxNASDAQ: XRX: Sells printing hardware, digital document software, and managed IT services.
Senior experience in infrastructure/cloud data engineering, observability, incident governance, and large-scale telemetry; proficiency with Azure, Databricks, Delta Lake, Spark, Kafka, Airflow, Python, SQL/PySpark, MLOps and CI/CD.
Azure, Databricks, Delta Lake, Spark, Kafka, Airflow, Python, SQL, PySpark, MLOps, CI/CD, API, Power BI, QlikView, Oracle, SQL Server, PostgreSQL, MySQL, Azure Machine Learning, Azure OpenAI, NLP
13h
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Senior Engineer: Tier 3 - (On-site)
Philadelphia or Las Vegas or Irvine or Denver or Indianapolis or Grand Rapids or Lexington or Los Angeles or Louisville or Texas or San Francisco
$125k-$150k/yr FieldFull Time
Trace3
Trace3: Provides IT consulting and technology solutions for enterprise digital transformation.
6+ YOEBachelor's or equivalent, 6+ years IT infrastructure experience, strong networking and systems administration skills, data center and low-voltage cabling knowledge, ability to travel frequently, valid driver’s license.
1mo
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Principal Cloud Engineer
Columbus or Chester or Lexington or Canonsburg or Merrillville
$133k-$200k/yr HybridFull Time
NiSource
NiSourceNYSE: NI: Provides regulated natural gas and electric utility services.
10+ YOE10+ years infrastructure cloud or data center experience; Bachelor's degree or equivalent.
Azure, AWS, Google Cloud, Kubernetes, Containerization, Serverless, Disaster Recovery, Data Analytics, Data Lakes