HAVI · 19 hours ago
Data Engineer
Chicago, IL
Full-time
Hybrid
Mid Level
$95K/yr - $110K/yr
3+ years expHAVI is a global company focused on innovating and managing supply chains for leading brands. They are seeking a Data Engineer to architect, design, and implement scalable data solutions to support predictive and prescriptive analytics needs, collaborating with cross-functional teams to optimize data pipelines and integrate analytics into business processes.
Construction
Responsibilities
Responsible for working with the data management, data science, decision science, and technology teams to address supply chain data needs in demand and supply planning, replenishment, pricing, and optimization
Develop/refine the data requirements, design/develop data deliverables, and optimize data pipelines in non-production and production environments
Design, build, and manage/monitor data pipelines for data structures encompassing data transformation, data models, schemas, metadata, and workload management. The ability to work with both IT and business
Integrate analytics and data science output into business processes and workflows
Build and optimize data pipelines, pipeline architectures, and integrated datasets. These should include ETL/ELT, data replication/CI-CD, API design, and access
Work with and optimize existing ETL processes and data integration and preparation flows and help move them to production
Work with popular data discovery, analytics, and BI and AI tools in semantic-layer data discovery
Adept in agile methodologies and capable of applying DevOps and DataOps principles to data pipelines to improve communication, integration, reuse, and automation of data flows between data managers and data consumers across the organization
Implement Agentic AI capability to drive efficiency and opportunity
Qualification
Required
Bachelor's degree in computer science, data management, information systems, information science or a related field
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 (MERGE/CDC, OPTIMIZE/Z-ORDER, VACUUM, partitioning, schema evolution)
Unity Catalog (RBAC, permissions, lineage, data masking/row-level access)
Databricks Jobs/Workflows or Delta Live Tables
Azure Data Factory for orchestration (pipelines, triggers, parameterization, IRs) and integration with ADLS Gen2, Key Vault
Strong SQL across large datasets; performance tuning (joins, partitions, file sizing)
Data quality at scale (e.g., Great Expectations/Deequ), monitoring and alerting; debug/backfill playbooks
DevOps for data: Git branching, code reviews, unit/integration testing (pytest/dbx), CI/CD (Azure DevOps/GitHub Actions)
Infrastructure as Code (Terraform or Bicep) for Databricks workspaces, cluster policies, ADF, storage
Observability & cost control: Azure Monitor/Log Analytics; cluster sizing, autoscaling, Photon; cost/perf trade-offs
Proven experience collaborating with cross-functional stakeholders (analytics, data governance, product, security) to ship and support data products
Preferred
advanced degree in computer science, data management, information systems, information science or a related field
Benefits
Generous extended healthcare benefits and other great benefits
Paid parental and medical leave programs
RRSP and DPSP benefits with a company match component and profit sharing
15 days of paid time off plus company holidays
Hybrid work model with flexibility
Tuition reimbursement
Company
HAVI
HAVI, part of Morgan Street Holdings, a Chicago-based company and private investment group, is a global leader in integrated supply chain management for the food industry, providing end-to-end solutions for retail, quick-service restaurants (QSR), and food service (FSR) in over 30 markets.
10001+ employees
H1B Sponsorship
HAVI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (3)
2023 (4)
2022 (4)
2020 (8)
Funding
Current Stage
Late StageLeadership Team
Frank Ravndal
Chief Executive Officer
Carol Cienkus
Chief Financial officer
Recent News
2022-11-24
Company data provided by crunchbase