Senior Data Integration Engineer

Johnson Controls•Glendale, AZ

About The Position

Johnson Controls, a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helps customers use energy more productively, reduce carbon emissions, and operate with the precision and resilience required in rapidly expanding industries such as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education. For more than 140 years, Johnson Controls has delivered performance where it really matters. Backed by advanced technology, lifecycle services and an industry-leading field organization, we elevate customer performance, turn goals into real-world results and help move society forward. We are seeking a Senior Data Integration Engineer to design, build, and operate scalable data ingestion pipelines that power Workforce Analytics. This role is responsible for acquiring and standardizing data from enterprise systems—especially Workday—into the data platform, using tools such as Fivetran, APIs, and file-based integrations. You will ensure that source data is ingested accurately, reliably, and efficiently to support downstream modeling, analytics, and secure consumption. You will work closely with Data Platform, Data Engineering, and HR systems teams to ensure data is timely, complete, and production-ready.

Requirements

5+ years of experience in data engineering or data integration engineering
Strong experience with Fivetran or similar ingestion tools
Experience integrating data via APIs and flat files
Hands-on experience working with Workday integrations or HR data systems
Strong SQL skills and understanding of data structures
Experience building reliable, production-grade data pipelines
Familiarity with cloud data ecosystems (Snowflake preferred)

Nice To Haves

Deep experience with Workday (HCM, Recruiting, etc.)
Experience handling effective-dated and hierarchical datasets
Exposure to Workforce / People Analytics domains
Familiarity with Azure ecosystem
Experience with data observability/monitoring tools
Understanding of downstream transformation frameworks (Coalesce/dbt)

Responsibilities

Design, build, and maintain scalable ingestion pipelines using: Fivetran (primary tool), REST/SOAP APIs, Flat files (SFTP, batch ingestion, vendor extracts)
Integrate data from key enterprise systems, including: Workday (core HCM, recruiting, etc.), Other HR, payroll, and workforce-related systems
Ensure ingestion pipelines are robust, efficient, and fault-tolerant
Develop deep expertise in Workday data structures and integration patterns
Design ingestion strategies for: Worker data, Job/position structures, Organizational hierarchies, Recruiting and talent data
Handle complexities such as: Effective-dated data, Hierarchical relationships, Slowly changing attributes
Implement monitoring, alerting, and observability for ingestion pipelines
Ensure data completeness, timeliness, and accuracy
Troubleshoot pipeline failures and data discrepancies at the source level
Partner with upstream system owners to resolve data quality issues
Configure and optimize Fivetran connectors
Manage sync schedules, schema changes, and connector performance
Ensure cost-efficient use of Fivetran
Handle edge cases where custom ingestion is required beyond Fivetran
Define best practices for: API-based ingestion, File handling and validation, Incremental vs full-load strategies
Establish standards for naming, metadata, and lineage at ingestion layer
Ensure raw data is structured for downstream transformation (Coalesce)
Implement version control and deployment practices using Azure DevOps / GitHub
Enable repeatable, testable deployment of ingestion pipelines
Document integration logic and configurations
Partner with: Data Platform Engineering (Snowflake readiness, access patterns), Data Engineers (downstream modeling in Coalesce), HRIS / Workday teams (source system alignment)
Ensure clean handoffs between ingestion → transformation → consumption