3 cloud database engineer jobs at 3 companies in Warsaw, IN

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
1mo
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Senior AI Engineer
Chicago or Miami or New York City or Oakbrook Terrace or Nashville or South Bend or Tampa or Atlanta or Boston or Dallas or Houston or Grand Rapids or Austin or Charlotte or Indianapolis
$74k-$148k/yr OnsiteFull Time
Crowe
Crowe: Global professional services firm providing audit, tax, and consulting.
4+ YOE4–6 years AI/ML engineering; strong Python, cloud, distributed systems; deep learning frameworks; VMs and containerization; experience with LLMs and vector databases; travel up to 80%
Python, ML frameworks, AWS, Azure, Google Cloud, Docker, Kubernetes, Terraform, SageMaker, Vertex AI, Azure ML, GPU/accelerator workflows, PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, Pinecone, Weaviate, FAISS, OpenAI API, Azure OpenAI, Gemini, PEFT, LoRA, QLoRA, Power Platform, APIs, SDKs
1mo
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Data Engineer II
Fort Wayne, Indiana, United States
OnsiteFull Time
Brotherhood Mutual
Brotherhood Mutual: Provides specialized insurance and risk management for religious organizations.
3+ YOEDesign, build, and maintain enterprise data pipelines; ensure data quality; work with on-premises and cloud platforms; strong SQL and Python; Azure and Fabric experience.
SQL, Python, Microsoft Azure, Microsoft Fabric, Spark/PySpark, Data Warehousing, ETL/ELT
2mo
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Enterprise Data Architect
Fort Wayne, Indiana, United States
OnsiteFull Time
Steel Dynamics
Steel DynamicsNASDAQ: STLD: Produces steel and metal products from recycled scrap.
10+ YOE10+ years in large-scale software in enterprise environments; 5+ years in data engineering/architecture; proven experience delivering a major data platform; hybrid cloud/on-prem designs; strong Microsoft data ecosystem knowledge; excellent communication.
SQL, Python, Microsoft Azure, Power BI, Data Warehousing