Johnson Controls Inc., a global leader in smart, healthy, and sustainable buildings, is seeking a Data Engineer to join our Logistics & Distribution (L&D) organization. In this role, you will modernize and scale our data ecosystem to support operational visibility, KPI standardization, and analytics expansion across core logistics functions.

What You'll Do

Modernize and expand the L&D data infrastructure to support new KPIs, logistics process visibility, and business growth.
Migrate legacy ETL pipelines and filesystem logic into corporate-approved, scalable cloud technologies and operational standards.
Convert the current file-based logistics data repository into a Snowflake environment aligned with enterprise architecture and governance.
Design and maintain automated, reliable data ingestion pipelines integrating transportation, warehouse, carrier, audit, and regional operational data sources.
Build foundational data models that support logistics analytics and downstream Power BI dashboards.
Integrate logistics datasets with JCI’s corporate data lake, ensuring proper mapping, lineage tracing, and compliance with central architecture.
Establish data dictionaries, documentation, and standard processes for logistics KPIs.
Implement data quality monitoring to detect anomalies in shipments, orders, events, carrier performance, and throughput.
Collaborate with regional logistics teams, business partners, and technical groups to ensure data accuracy and consistent interpretation.
Ensure alignment with corporate data security, compliance, and retention requirements.
Support predictive analytics initiatives such as ETA modeling and demand prediction through well-structured data pipelines.
Participate in ad-hoc logistics and distribution data engineering projects.

What We're Looking For

Bachelor’s degree in Data Engineering, Computer Science, Data Analytics, Information Systems, or a related field.
4+ years of experience in data engineering, BI engineering, or data architecture roles.
Experience supporting supply chain, logistics, transportation, or distribution data systems.
Strong SQL expertise and hands-on experience with ETL/ELT tools and cloud data platforms.
Hands-on experience designing, orchestrating, and maintaining pipelines using Azure Data Factory (ADF).
Experience working with Snowflake or other modern cloud data warehouses.
Ability to integrate, clean, and model fragmented datasets from TMS, WMS, ERP, carrier systems, and audit platforms.
Understanding of data governance, quality frameworks, and metadata documentation.
Experience building data models for BI tools like Power BI.
Ability to translate operational logistics requirements into technical solutions.
Strong communication and collaboration skills.
Conversational English.

Nice to Have

Experience with enterprise-scale data lakes (Azure Data Lake, AWS S3).
Knowledge of Python, Spark, dbt, or similar transformation frameworks.
Experience enabling predictive analytics or machine learning pipelines.
Familiarity with logistics metrics (OTD, SLA, cost-to-serve, dwell time, throughput).
Experience in environments where processes and data sources are still being standardized.

Technical Stack

SQL, ETL/ELT tools
Azure Data Factory (ADF)
Snowflake
Power BI
Azure Data Lake, AWS S3
Python, Spark, dbt

Team & Environment

You will be part of the Logistics & Distribution (L&D) organization.

Benefits & Compensation

Comprehensive benefits package.
Opportunities for professional growth and development.
Supportive and inclusive work environment.
Commitment to work-life balance and employee well-being.
Engagement in meaningful projects that make a difference.

Johnson Controls does not request pregnancy or HIV testing as a condition for hiring, continued employment, or promotion, in accordance with its commitment to labor equality and non-discrimination.