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:
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Medical, Dental & Vision Insurance
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6% 401k Match
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Paid Holidays & Vacation
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Paid Sick, Short/Long Term Disability
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Employee Assistance Program
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Maternity/Paternity Leave
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Discount Programs
Duties and Responsibilities
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Design, build, and maintain scalable data pipelines and data integration processes to support business intelligence, analytics, and reporting initiatives
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Develop and optimize ETL/ELT workflows and data transformation pipelines using modern data platforms including Databricks and cloud-based data services
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Design, implement, and maintain data models and curated data layers to support business intelligence tools such as Tableau
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Ingest, integrate, and manage data from multiple sources including internal systems, external vendors, APIs, and structured and unstructured data within a Data Lake architecture
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Support the development and maintenance of enterprise data platforms including data warehouses, data lakes, and analytics environments
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Collaborate with BI analysts, data scientists, developers, and business stakeholders to understand data requirements and deliver scalable data solutions
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Develop and maintain datasets and data services that enable reporting, dashboards, and advanced analytics
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Monitor data pipelines, troubleshoot performance issues, and implement improvements to ensure reliability, scalability, and data quality
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Implement data governance, data validation, and data quality controls to ensure accuracy and consistency of enterprise data
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Utilize internal and external AI tools to support data exploration, automation, and advanced analytics capabilities
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Document data architecture, data flows, standards, and processes to support maintainability, governance, and knowledge sharing
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Support deployment and operations of data solutions in cloud environments
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Other duties as assigned
Knowledge, Skills, and Abilities
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Knowledge of modern data engineering practices, data architecture, and business intelligence frameworks
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Strong experience with SQL and relational database systems such as MySQL or similar platforms
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Experience designing and developing scalable data pipelines using Databricks or similar distributed data processing platforms
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Experience working with cloud data platforms such as AWS, Azure, or Google Cloud Platform and related data services
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Experience implementing and managing Data Lake or Lakehouse architectures
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Experience building and supporting dashboards and analytics solutions using Tableau or similar business intelligence tools
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Understanding of ETL/ELT frameworks, data transformation processes, and workflow orchestration tools
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Experience working with structured and unstructured data and large-scale datasets
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Familiarity with data modeling techniques including dimensional modeling for analytics and reporting
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Understanding of data governance, data security, and data quality management practices
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Experience using internal and external AI or machine learning tools to support data analysis, automation, or enrichment
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Ability to analyze complex data problems and develop scalable and efficient solutions
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Ability to work effectively both independently and as a team member in a cross-functional environment
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Strong oral and written communication skills
Education, Training, and Experience
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B.S. in Computer Science, Data Engineering, Information Systems, Data Science, or a related field; or equivalent combination of training and experience
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2–4 years experience in data engineering, business intelligence development, analytics engineering, or related data-focused roles
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At least 2 years experience working with SQL-based databases such as MySQL, SQL Server, PostgreSQL, or similar relational database platforms
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Experience working with Databricks, Spark-based data processing, or similar modern data engineering platforms preferred
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Experience developing dashboards and analytics solutions using Tableau or similar BI tools preferred
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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
