BI Engineer

BI Engineer

Job Description

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.