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Data Engineer 1
Job Location:
Job Location:
San Jose, CA - USA
Hourly Salary:
USD 75 - 75
Hourly Salary:
Posted:
25 October 2026 (11 hours ago)
Posted:
Application Deadline:
22 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Job Title: Data Engineer
Location: San Jose CA (hybrid 2-3 days)
Duration: 12Months with possibility of extension
Contract type: W2 Only
Maximum Pay: $75.35/hr on w2
Job Description
About the Role
We are looking for a Cloud & Data Engineer to help build optimize and operate our Voice of Customer (VoC) AI Platform.
This is a hands-on role spanning data engineering cloud infrastructure and platform reliability.
Key Responsibilities
Data Engineering
Build and maintain ETL/ELT pipelines for structured and unstructured data sources.
Develop data-processing workloads using Azure Databricks Python/PySpark and SQL.
Optimize Databricks jobs compute and data layouts for performance and cost.
Work with Delta Lake and Unity Catalog for data storage governance and access control.
Implement data quality checks monitoring error handling and recovery mechanisms.
Cloud & Platform Engineering
Build operate and optimize Azure services including App Service Functions Blob/ADLS storage Azure SQL DB for Postgres Key Vault Container Registry and Azure Monitor.
Experience with cloud AI services including vector search and embedding pipelines.
Improve platform performance scalability reliability security and cost efficiency.
Implement secure identity and access management using Azure managed identities Key Vault secrets managed via scopes.
Support development staging and production environments.
Automation & Operations
Improve platform observability through logging monitoring dashboards and alerting.
Automate infrastructure and deployments using Infrastructure as Code (IaC) and CI/CD.
Troubleshoot issues across cloud services storage databases networking and data pipelines.
Support production incidents and root-cause analysis.
Collaborate with application AI/ML and data engineering teams.
Skills:
Required Qualifications
35 years of experience in data engineering cloud engineering or a related role.
Hands-on experience with Microsoft Azure Databricks APIs and object storage.
Strong skills in Python/PySpark SQL.
Experience building and operating production data ETL/ELT pipelines.
Experience with relational and semi-structured/unstructured data database technologies.
Experience with Spark Delta Lake and lakehouse architectures.
Working knowledge of Databricks Unity Catalog and data-access controls.
Understanding of cloud security concepts such as RBAC managed identities service principals and Key Vault.
Experience with Git CI/CD monitoring troubleshooting and performance optimization.
Preferred Qualifications
Experience with Terraform or ARM templates.
Experience with Azure DevOps or GitHub Actions.
Familiarity with Azure networking including VNets and private endpoints.
Experience with Azure Data Factory Databricks Workflows or Airflow.
Familiarity with data platforms supporting AI/ML NLP analytics or GenAI applications.
Location: San Jose CA (hybrid 2-3 days)
Duration: 12Months with possibility of extension
Contract type: W2 Only
Maximum Pay: $75.35/hr on w2
Job Description
About the Role
We are looking for a Cloud & Data Engineer to help build optimize and operate our Voice of Customer (VoC) AI Platform.
This is a hands-on role spanning data engineering cloud infrastructure and platform reliability.
Key Responsibilities
Data Engineering
Build and maintain ETL/ELT pipelines for structured and unstructured data sources.
Develop data-processing workloads using Azure Databricks Python/PySpark and SQL.
Optimize Databricks jobs compute and data layouts for performance and cost.
Work with Delta Lake and Unity Catalog for data storage governance and access control.
Implement data quality checks monitoring error handling and recovery mechanisms.
Cloud & Platform Engineering
Build operate and optimize Azure services including App Service Functions Blob/ADLS storage Azure SQL DB for Postgres Key Vault Container Registry and Azure Monitor.
Experience with cloud AI services including vector search and embedding pipelines.
Improve platform performance scalability reliability security and cost efficiency.
Implement secure identity and access management using Azure managed identities Key Vault secrets managed via scopes.
Support development staging and production environments.
Automation & Operations
Improve platform observability through logging monitoring dashboards and alerting.
Automate infrastructure and deployments using Infrastructure as Code (IaC) and CI/CD.
Troubleshoot issues across cloud services storage databases networking and data pipelines.
Support production incidents and root-cause analysis.
Collaborate with application AI/ML and data engineering teams.
Skills:
Required Qualifications
35 years of experience in data engineering cloud engineering or a related role.
Hands-on experience with Microsoft Azure Databricks APIs and object storage.
Strong skills in Python/PySpark SQL.
Experience building and operating production data ETL/ELT pipelines.
Experience with relational and semi-structured/unstructured data database technologies.
Experience with Spark Delta Lake and lakehouse architectures.
Working knowledge of Databricks Unity Catalog and data-access controls.
Understanding of cloud security concepts such as RBAC managed identities service principals and Key Vault.
Experience with Git CI/CD monitoring troubleshooting and performance optimization.
Preferred Qualifications
Experience with Terraform or ARM templates.
Experience with Azure DevOps or GitHub Actions.
Familiarity with Azure networking including VNets and private endpoints.
Experience with Azure Data Factory Databricks Workflows or Airflow.
Familiarity with data platforms supporting AI/ML NLP analytics or GenAI applications.
Required Experience:
IC
About Company
Intelliswift is a top IT service provider delivering award-winning professional service across global delivery centers that solves complex challenges and deliver valuable insights & technology solutions that drive greater business value.
