Data Engineer – Azure Databricks & DataOps for Supply Chain

HAVI; Chicago (IL); Hybrid; USD 100,000 - 115,000; Full time

Benefits offered by this job

Medical, Dental, Vision

401(k) with match & profit sharing

15 days paid time off

Hybrid work model

Tuition reimbursement

Job summary

HAVI in Chicago, IL is seeking a data engineer to join our team focused on data management, analytics, and DevOps for data pipelines across demand and supply planning. This hybrid, on-site role at 345 N Morgan St requires collaboration with data science, IT, and business teams to deliver scalable insights and production-ready solutions.

You will design and operate ETL/ELT pipelines, manage data models and metadata, optimize performance, and ensure data quality at scale.

Qualifications

• 3+ years in data engineering building production data pipelines (batch and/or streaming) with Spark on cloud.
• 2+ years hands-on Azure Databricks (PySpark/Scala, Spark SQL, Delta Lake) including Delta Lake operations, Unity Catalog, and Databricks Jobs/Workflows.
• Azure Data Factory for orchestration with ADLS Gen2 and Key Vault.
• Strong SQL across large datasets and performance tuning.
• Data quality at scale and monitoring; debug/backfill playbooks.
• DevOps for data and CI/CD with Azure DevOps/GitHub Actions.
• Infrastructure as Code for Databricks and data services (Terraform/Bicep).
• Observability and cost control in Azure environments.
• Collaborating with analytics, data governance, product, and security teams.

Responsibilities

• Work with data management, data science, decision science, and technology teams to address supply chain data needs in demand and supply planning, replenishment, pricing, and optimization.
• Design/develop data requirements, data deliverables, and optimize data pipelines in production and non-production environments.
• Build/manage data pipelines for data structures including ETL/ELT, data models, schemas, and APIs access.
• Integrate analytics output into business processes and workflows.
• Collaborate across cross-functional stakeholders to ship data products using DataOps principles.
• Implement Agentic AI capability to drive efficiency and opportunity.

Skills

Spark on cloud

Azure Databricks

SQL

Data modeling

DevOps for data

ETL/ELT

Terraform

Cross-functional collaboration

Data quality

Azure Monitor

Education

Bachelor’s degree in computer science or related field

Advanced degree preferred

Tools

Azure Data Factory

Delta Lake

Unity Catalog

Databricks Jobs/Workflows

RBAC/Data governance

Job description

HAVI in Chicago, IL is seeking a data engineer to join our team focused on data management, analytics, and DevOps for data pipelines across demand and supply planning. This hybrid, on-site role at 345 N Morgan St requires collaboration with data science, IT, and business teams to deliver scalable insights and production-ready solutions.

You will design and operate ETL/ELT pipelines, manage data models and metadata, optimize performance, and ensure data quality at scale.