Senior Data Ingestion Engineer – Workday Analytics

Johnson Controls

Glendale (CA)

On-site

USD 100,000 - 145,000

Full time

14 days+
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Benefits offered by this job

Competitive salary
Paid time off
Benefits package
On-the-job training
Collaborative environment
Zero Harm safety policy

Job summary

Johnson Controls in the United States seeks a Senior Data Integration Engineer to design, build, and operate scalable data ingestion pipelines powering Workforce Analytics.

You will acquire and standardize data from enterprise systems—especially Workday—using Fivetran, APIs, and file-based integrations, ensuring timely, complete, and production-ready data.

Collaborate with Data Platform, HRIS, and HR teams to optimize ingestion, monitoring, and CI/CD with Azure DevOps and GitHub.

Qualifications

  • 5+ years of experience in data engineering or data integration engineering.
  • Strong SQL skills and data structuring knowledge.
  • Experience with Workday data and integration patterns.

Responsibilities

  • Design, build, and maintain scalable data ingestion pipelines.
  • Integrate data from Workday and other HR systems using APIs and file-based methods.
  • Ensure pipelines are robust, fault-tolerant, and production-ready.
  • Monitor data quality, timeliness, and correctness with observability tools.
  • Collaborate with Data Platform and HR teams to enable downstream analytics.

Skills

SQL
Data integration
Data modeling
Cross-team collaboration

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Fivetran
Workday integrations
Snowflake
Azure DevOps
GitHub
APIs

Job description

Johnson Controls in the United States seeks a Senior Data Integration Engineer to design, build, and operate scalable data ingestion pipelines powering Workforce Analytics.

You will acquire and standardize data from enterprise systems—especially Workday—using Fivetran, APIs, and file-based integrations, ensuring timely, complete, and production-ready data.

Collaborate with Data Platform, HRIS, and HR teams to optimize ingestion, monitoring, and CI/CD with Azure DevOps and GitHub.

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