IGT
IGT
IGT develops gaming technology and services spanning lottery, casino, digital gaming, and connected retail experiences. Its portfolio combines games, platforms, analytics, and digital tools that support operators across physical and online channels. As a global gaming company and major lottery provider, IGT also emphasizes responsible gaming and sustainability while building technology for teams working across the gaming, eCommerce, and SaaS sectors.

Data Engineer II at IGT

Build Databricks and AWS data pipelines at IGT to support enterprise analytics, operational reporting, and AI initiatives. This is a full-time, onsite role in the United States.

Description

  • Create and maintain scalable ELT and ETL pipelines with Databricks, Apache Spark, SQL, and Python.
  • Deliver reliable datasets for enterprise analytics, operational reporting, and AI applications.
  • Transform data with Delta Lake and Lakehouse architecture practices.
  • Connect data from business applications, APIs, databases, files, and other internal and external sources.
  • Work with stakeholders, analysts, and product teams to translate data needs into scalable solutions.
  • Monitor, troubleshoot, and tune production pipelines for dependable performance at scale.
  • Help migrate legacy data processes to modern cloud-native architectures.
  • Strengthen data quality with validation, testing, monitoring, and automation.
  • Support engineering standards through code review, documentation, and knowledge sharing.
  • Find ways to automate and streamline work and improve the enterprise data platform.

Requirements

  • Bachelor’s degree in computer science, information systems, engineering, or a related discipline, or equivalent practical experience.
  • At least three years of experience in data engineering or a related technical role.
  • Strong SQL development skills.
  • Strong Python programming skills.
  • Experience building pipelines with Apache Spark and Databricks or a comparable distributed data processing platform.
  • Experience developing modern ETL and ELT pipelines.
  • Understanding of data modeling and data warehousing.
  • Experience with cloud data platforms, preferably AWS.
  • Familiarity with Delta Lake or comparable modern data storage technologies.
  • Experience with Git and collaborative software development.
  • Strong analytical, troubleshooting, and problem-solving abilities.
  • Clear communication and collaboration skills.
  • Preferred: experience with AWS services such as S3, IAM, Lambda, or Glue.
  • Preferred: experience using Databricks on AWS.
  • Preferred: experience with Delta Lake and Medallion or Lakehouse architecture.
  • Preferred: experience with Databricks Workflows, Apache Airflow, or similar orchestration tools.
  • Preferred: experience developing or consuming REST APIs.
  • Preferred: experience ingesting semi-structured data, including JSON and Excel files.
  • Preferred: familiarity with CI/CD for data engineering.
  • Preferred: exposure to AI/ML workflows or preparing data for machine learning and generative AI.
  • Preferred: experience in gaming, hospitality, financial services, or another data-intensive industry.

Benefits

  • 401(k) savings plan with company contributions.
  • Medical insurance.
  • Dental insurance.
  • Vision insurance.
  • Life insurance.
  • Disability coverage.
  • Paid time off.
  • Tuition reimbursement.
  • Wellness programs.
  • Potential bonus or commission, depending on the role and eligibility.

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