Bally’s Intralot is a leading provider of lottery, iLottery, sports betting, and digital gaming solutions, serving regulated gaming organizations across the United States and international markets. By combining Bally’s expertise in digital gaming and player engagement with INTRALOT’s decades of experience delivering secure lottery technology and operations, Bally’s Intralot offers a comprehensive portfolio of innovative gaming solutions.

Duties and Responsibilities

Design, build, and maintain scalable data pipelines and data integration processes to support business intelligence, analytics, and reporting initiatives
Develop and optimize ETL/ELT workflows and data transformation pipelines using modern data platforms including Databricks and cloud-based data services
Design, implement, and maintain data models and curated data layers to support business intelligence tools such as Tableau
Ingest, integrate, and manage data from multiple sources including internal systems, external vendors, APIs, and structured and unstructured data within a Data Lake architecture
Support the development and maintenance of enterprise data platforms including data warehouses, data lakes, and analytics environments
Collaborate with BI analysts, data scientists, developers, and business stakeholders to understand data requirements and deliver scalable data solutions
Develop and maintain datasets and data services that enable reporting, dashboards, and advanced analytics
Monitor data pipelines, troubleshoot performance issues, and implement improvements to ensure reliability, scalability, and data quality
Implement data governance, data validation, and data quality controls to ensure accuracy and consistency of enterprise data
Utilize internal and external AI tools to support data exploration, automation, and advanced analytics capabilities
Document data architecture, data flows, standards, and processes to support maintainability, governance, and knowledge sharing
Support deployment and operations of data solutions in cloud environments
Other duties as assigned

Knowledge, Skills, and Abilities

Knowledge of modern data engineering practices, data architecture, and business intelligence frameworks
Strong experience with SQL and relational database systems such as MySQL or similar platforms
Experience designing and developing scalable data pipelines using Databricks or similar distributed data processing platforms
Experience working with cloud data platforms such as AWS, Azure, or Google Cloud Platform and related data services
Experience implementing and managing Data Lake or Lakehouse architectures
Experience building and supporting dashboards and analytics solutions using Tableau or similar business intelligence tools
Understanding of ETL/ELT frameworks, data transformation processes, and workflow orchestration tools
Experience working with structured and unstructured data and large-scale datasets
Familiarity with data modeling techniques including dimensional modeling for analytics and reporting
Understanding of data governance, data security, and data quality management practices
Experience using internal and external AI or machine learning tools to support data analysis, automation, or enrichment
Ability to analyze complex data problems and develop scalable and efficient solutions
Ability to work effectively both independently and as a team member in a cross-functional environment
Strong oral and written communication skills

Education, Training, and Experience

B.S. in Computer Science, Data Engineering, Information Systems, Data Science, or a related field; or equivalent combination of training and experience
2–4 years experience in data engineering, business intelligence development, analytics engineering, or related data-focused roles
At least 2 years experience working with SQL-based databases such as MySQL, SQL Server, PostgreSQL, or similar relational database platforms
Experience working with Databricks, Spark-based data processing, or similar modern data engineering platforms preferred
Experience developing dashboards and analytics solutions using Tableau or similar BI tools preferred
Experience working with cloud data environments (AWS, Azure, or GCP) and data storage platforms such as data lakes or cloud data warehouses preferred

Benefits

Bally’s Intralot offers a competitive benefits package:

Medical, Dental & Vision Insurance
6% 401k Match
Paid Holidays, Vacation, and Sick Leave
Short/Long Term Disability
Maternity/Paternity Leave

Travel

Some travel required up to 10%

Employment Eligibility Verification

Must possess valid documentation to establish identity and U.S. employment eligibility.

Intralot, Inc. is an Equal Opportunity Employer

Learn more about this Employer on their Career Site

BI Engineer