Jobs / IGT***
Manager, Data Engineering
IGT*** · Chicago, IL, United States
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Chicago, IL, United States55,177-156,700 USD/yearlyOnsite
Remuneration
55,177-156,700 USD/yearly
Location
Chicago, IL, United States
Visa sponsorship
Sponsors visa
Job summary
Location: Chicago, IL, US, 60661 Las Vegas, NV, US, 89113 #job-location.job-location-inline { display: inline; } Requisition ID: 19238 IGT***, where innovation meets entertainment on a global scale!
Qualifications
- into scalable, reliable, and maintainable data pipelines, models, and data products.
- Provide hands-on technical leadership through architecture reviews, code reviews, troubleshooting, and guidance on Databricks, Spark, SQL, and lakehouse design.
- Establish and enforce engineering standards for bronze, silver, and gold data layers, data modeling, reusable frameworks, testing, source control, and CI/CD.
- Lead the migration and integration of data from legacy platforms, SAP, Salesforce, operational databases, APIs, and file-based processes into the AWS Databricks environment.
- Ensure data solutions include appropriate quality controls, reconciliation, observability, lineage, security, RBAC, and production monitoring.
- Partner with business, analytics, architecture, application, and infrastructure teams to clarify
- manage dependencies, and communicate delivery risks and tradeoffs.
- Maintain continuity for business-critical reporting and operational data processes during system migrations and organizational change.
- Promote ownership and accountability throughout the full engineering lifecycle, including
- development, deployment, documentation, incident resolution, and knowledge transfer.
- Required
- Bachelor’s degree in computer science, engineering, information systems, data science, or a related field, or equivalent professional experience.
Responsibilities
- Lead, coach, and develop a team of data engineers, establishing clear expectations for delivery, technical quality, documentation, and production support.
- Own the planning and delivery of data engineering initiatives across assigned business domains, balancing modernization, integration, operational support, and stakeholder priorities.
- Translate complex business
Skills
CommunicationLeadershipSalesforceSAP
Degrees
AssociateDegree
Work schedule
Night
Industry
AutomotiveEducationEnergyGamingInsuranceLogisticsOil-gas
Company size
EnterpriseSmb
Security clearance
Secret