Engineer Data II

IGT; Las Vegas (NV); On-site; USD 100,000 - 140,000; Full time

Job summary

IGT is seeking a Data Engineer II to design and maintain scalable data pipelines in a cloud-first environment. You will work with Databricks, Spark, Delta Lake, Python and SQL to deliver production-ready data solutions for analytics and AI use cases.

You will collaborate with business stakeholders and engineering teams to translate requirements into robust data pipelines, while continuously improving data quality, reliability, and performance.

Qualifications

• Bachelor's degree in CS/IS/Engineering or equivalent practical experience.
• 3+ years of experience in Data Engineering or similar technical role.
• Strong SQL development skills and Python programming.
• Experience building data pipelines with Spark and Databricks.
• Experience developing modern ETL/ELT pipelines and data warehousing concepts.
• Experience with cloud-based data platforms, preferably AWS.
• Familiarity with Delta Lake or modern storage tech.
• Experience using Git and collaborative development practices.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication and collaboration skills.

Responsibilities

• Design, develop, and maintain scalable ELT/ETL pipelines using Databricks, Spark, SQL, and Python.
• Build reliable datasets supporting analytics, reporting, and AI use cases.
• Develop data transformations using Delta Lake and Lakehouse architecture.
• Integrate data from enterprise apps, APIs, databases, files, and other sources.
• Collaborate with stakeholders, analysts, and product teams to understand data requirements.
• Monitor and optimize production data pipelines for reliability and performance.
• Migrate legacy data processes to cloud-native architectures.
• Improve data quality through validation, testing, and automation.
• Contribute to engineering best practices via code reviews and docs.
• Identify opportunities for automation and optimization.

Skills

SQL

Python

Databricks

Spark

ETL/ELT

Data modeling

AWS

Git

Analytical skills

Communication

Education

Bachelor's degree

Tools

Delta Lake

Airflow

REST APIs

Job description

IGT, where innovation meets entertainment on a global scale! From the casino floor to your mobile screen, we deliver thrilling, responsible, and unforgettable gaming experiences—powered by world‑class content, strong technical and commercial capabilities and nurtured by a culture of collaboration, accountability, and ownership. Whether it’s spinning reels, placing bets, or enabling secure payments, we turn innovation into impact through disciplined execution and long‑term value creation. With a team of over 6,000 employees across 30+ countries and products delivered in more than 100 jurisdictions worldwide, we operate at scale while staying closely connected to customers we serve. If you’re ready to bring your talent to a team shaping the future of entertainment, your next big move starts here - www.igt.com .

Overview

The Data Engineer II builds and maintains scalable, cloud‑native data solutions within the Global Data Platform & Engineering team, supporting enterprise analytics, reporting, and emerging AI initiatives. The role uses Databricks, Apache Spark, Delta Lake, Python, SQL, and AWS to develop reliable data pipelines and curated datasets. Working with business stakeholders, analytics teams, and fellow engineers, the position translates business requirements into high‑quality, production‑ready data solutions while solving complex data challenges and continuously learning new technologies.

Responsibilities

• Design, develop, and maintain scalable ELT/ETL pipelines using Databricks, Apache Spark, SQL, and Python.
• Build and maintain reliable, high‑quality datasets that support enterprise analytics, operational reporting, and AI use cases.
• Develop data transformations using Delta Lake and Lakehouse architecture best practices.
• Integrate data from enterprise applications, APIs, databases, files, and other internal and external sources.
• Collaborate with business stakeholders, analysts, and product teams to understand data requirements and deliver scalable solutions.
• Monitor, troubleshoot, and optimize production data pipelines for reliability, scalability, and performance.
• Participate in migrating and modernizing legacy data processes to cloud‑native architectures.
• Improve data quality through validation, testing, monitoring, and automation.
• Contribute to engineering best practices through code reviews, documentation, and knowledge sharing.
• Support continuous improvement of the enterprise data platform by identifying opportunities for automation, optimization, and simplification.

Qualifications

Required

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
• 3+ years of experience in Data Engineering or a related technical role.
• Strong SQL development skills.
• Strong Python programming experience.
• Experience building data pipelines using Apache Spark and Databricks (or similar distributed data processing platforms).
• Experience developing modern ETL/ELT pipelines.
• Understanding of data modeling and data warehousing concepts.
• Experience working with cloud‑based data platforms, preferably AWS.
• Familiarity with Delta Lake or similar modern data storage technologies.
• Experience using Git and collaborative software development practices.
• Strong analytical, troubleshooting, and problem‑solving skills.
• Excellent communication and collaboration skills.

Preferred

• Experience with AWS data services such as Amazon S3, IAM, Lambda, Glue, or related technologies.
• Experience working with Databricks on AWS.
• Experience with Delta Lake and Medallion/Lakehouse architecture.
• Experience with orchestration tools such as Databricks Workflows, Apache Airflow, or similar workflow orchestration platforms.
• Experience consuming and developing REST APIs.
• Experience working with semi‑structured data, including JSON and Excel‑based data ingestion.
• Familiarity with CI/CD practices for data engineering.
• Exposure to AI/ML workflows or data preparation for machine learning and generative AI applications.
• Experience working in gaming, hospitality, financial services, or other data‑intensive industries.

IGT is committed to sustaining a workforce that reflects the diversity of the global customers and communities we serve and to fostering an inclusive environment where all employees feel valued, respected, and engaged. IGT is an equal opportunity employer and provides equal employment opportunities without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, veteran status, genetic information, or any other characteristic protected by applicable law. We thank all applicants for their for applying; however, only those selected to interview will be contacted.

Base pay is one component of IGT’s total rewards program. Depending on the role, employees may be eligible for bonus or commission opportunities. IGT also offers a comprehensive benefits package, which may include a 401(k) savings plan with company contributions, medical, dental, and vision insurance, life and disability coverage, paid time off, tuition reimbursement, and other wellness programs, subject to eligibility requirements.

IGT is the global leader in gaming. For more information, please visit www.igt.com .