Data Engineer
Job Location:
Chicago, IL - USA
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
HAVI is a global privately owned company focused on innovating optimizing and managing the supply chains of leading brands. Offering services in marketing analytics packaging supply chain management and logistics HAVI partners with companies to address challenges big and small across the supply chain from commodity to customer. Founded in 1974 HAVI employs more than 10000 people and serves customers in more than 100 countries. For more information please .
Architect design implement enhance and maintain highly scalable available secure and elastic cloud-ready data solutions using cutting-edge technologies to support our predictive and prescriptive analytics needs. Be an expert in our data domains act as a trusted partner and advisor to solutions architects and data scientists and become a crucial part of the analytics solution lifecycle from prototype to production and operations of our data science and advanced analytics solutions in areas such as promotions supply and demand planning item/menu level analytics supply chain simulations and optimization competitive benchmarking and root cause analysis. Continuously improve and advance our data solutions.
This is a hybrid role based at 345 N Morgan St Chicago IL 60607. Candidates must reside in the Chicago metropolitan area. Relocation assistance is not offered at this time.
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
Qualifications:
- Bachelors degree in computer science data management information systems information science or a related field; advanced degree in computer science data management information systems information science or a related field preferred.
- 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.
Dimensions & Stakholders:
- Content scope: Data engineering data modeling Agentic AI and automation and data solution operationalization
- Geographical Scope: Global
- Stakeholders & Networks: Analytics and Insights DevOps Product Management Technology
- Working model: Individual contributor collaborates with cross-functional team within global planning and analytics
*Starting Salary is $100000-$115000 with a 5% targeted bonus
TOTAL REWARDS
Our total rewards philosophy integrates programs for compensation benefits recognition learning and development corporate culture corporate citizenship and work-life balance. While individual program components may differ by country some things remain constant:
- Our commitment to rewarding results
- Opportunities to work with talented and driven individuals at every level of our company who respect each other treat each other fairly and hold one another accountable for our customersand our companyssuccess
Theres more ...
Inclusive employee resource groups
Generous medical dental vision and other great benefits
Paid parental and medical leave programs
401(k) with a company match component and profit sharing
15 days of paid time off plus company holidays
Hybrid work model with flexibility
Tuition reimbursement and student loan repayment assistance
EQUAL OPPORTUNITY EMPLOYER
We are an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race religion color national origin sex gender gender expression sexual orientation age marital status veteran status or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process to perform essential job functions and to receive other benefits and privileges of employment. Please contact us to request accommodation.
RECRUITING AGENCIES
HAVI does not accept agency resumes submitted by third-party vendors unless a valid agreement has been signed and the HAVI Talent Acquisition Team has granted authorization for submissions for a specified position. Please do not submit or forward resumes to our site HAVI employees or any other company location. HAVI is not responsible for any fees related to unsolicited resumes.
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