3 cloud platform engineer jobs at 3 companies in Brazil, 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 Data Engineer – Insurance Data Platform
Danville, Illinois, United States
$100k-$150k/yr RemoteFull Time
CCMSI
CCMSI: Independent third-party administrator for insurance claims and risk management.
8+ YOE8+ years data engineering experience with 5+ years on insurance data; expert SQL, Python (pandas, PySpark), cloud data warehouse experience, ELT/ETL and orchestration tools, Azure/IaC familiarity, strong communication and stakeholder collaboration skills.
iCE, SQL, Python, pandas, PySpark, SQLAlchemy, Snowflake, Databricks, BigQuery, Synapse, Redshift, Azure, Terraform, Bicep, CloudFormation, Git, CI/CD, Kafka, Kinesis, Event Hubs, Debezium
1mo
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Partner Technical Architect - Agentforce
Chicago or New York or Austin or San Francisco
$173k-$260k/yr OnsiteFull Time
Salesforce
SalesforceNYSE: CRM: Sells cloud-based customer relationship management and business software solutions.
Hands-on architect with experience in AI/agent technologies, platform integration, and partner enablement. Strong engineering judgment and ability to translate field learnings into reusable assets.
Salesforce, Agentforce, Apex, Flow, LWC, MuleSoft, Data Cloud
1mo
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Manager Data Engineering
Raynham or Mooresville or West Chester or New Brunswick or Palm Beach Gardens or Warsaw or Raritan or United States or Columbus
$102k-$177k/yr HybridFull Time
Johnson & Johnson
Johnson & JohnsonNYSE: JNJ: Provides pharmaceutical products and medical technology healthcare solutions.
8+ YOE2+ MgmtSenior data engineering leader with 8+ years data engineering experience (2+ years people management). Hands-on with Databricks, PySpark/Spark SQL, Python, SQL, cloud platforms (Azure preferred), dbt, Airflow, CI/CD, automated testing, and modern data architecture (lakehouse, Data Vault 2.0).
Databricks, PySpark, Spark SQL, Python, SQL, dbt, Airflow, Azure Data Factory, Azure, AWS, Delta Lake, Power BI, CI/CD, GitHub Copilot, Cursor