BI Developer

INTRALOT is engaged in the supply of integrated gaming and transaction processing systems, innovative game content and value-added services to state licensed gaming organizations. Based on its extensive know how, advanced product development standards and substantial experience in operating lottery games, INTRALOT offers custom-made integrated solutions, which ensure maximum efficiency and absolute security.

Games Library includes more than 400 types of games: Numerical Lotteries, TV Lottery Games, Sports Lotteries, Fixed Odds Betting, Instant Lotteries, Pari-mutuel, Video Lottery and Monitor Games.

Intralot offers a competitive benefits package that includes:

• Medical, Dental & Vision Insurance
• 6% 401k Match
• Paid Holidays & Vacation
• Paid Sick, Short/Long Term Disability
• Employee Assistance Program
• Maternity/Paternity Leave
• Discount Programs

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

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