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