Senior Data Integration Engineer

Johnson Controls
Milwaukee, WI, United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$100,000.0 - $145,000.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Microsoft Azure Cloud Database Continuous Integration Information Engineering Data Infrastructure Data Integration Data Integrity Data Structures Data Systems Database Queries Human Resources Information System (HRIS)
+18 more
Fault Tolerance Github Monitoring of Systems HR Analytics Raw Data Workday Integrations File Transfer Protocol (FTP) Data Ingestion Workday HCM Snowflake SOAPAPI HR Software Enterprise Integration Integration Frameworks Api Design Software Version Control Data Pipelines Workday

Job description

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., Data Ingestion & Integration Engineering (Core Focus)

  • 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

Workday & HR Domain Expertise

  • 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

Data Reliability & Monitoring

  • 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

Fivetran Optimization & Management

  • 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

Integration Design & Standards

  • 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)

CI/CD & Version Control

  • Implement version control and deployment practices using Azure DevOps / GitHub
  • Enable repeatable, testable deployment of ingestion pipelines
  • Document integration logic and configurations

Cross-Team Collaboration

  • 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

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)

Preferred Qualifications

  • 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)

Benefits & conditions

3.63.6 out of 5 stars Milwaukee, WI $100,000 - $145,000 a year, Pulled from the full job description

  • 401(k)
  • Health insurance
  • Vision insurance
  • Dental insurance
  • Paid holidays, * Competitive salary
  • Paid vacation/holidays/sick time
  • Comprehensive benefits package including 401K, medical, dental, and vision care
  • On the job/cross training opportunities
  • Encouraging and collaborative team environment
  • Dedication to safety through our Zero Harm policy

About the company

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.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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