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Salary
≈ $47k – $90k per year (Estimated)
Location
Hybrid (Dieppe, Canada)
Seniority
Middle

Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Oct 27, 2026. Brightstar Lottery scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Brightstar Lottery is a pure-play global lottery company, formerly the lottery business of International Game Technology, providing lottery operations, retail terminals, instant tickets, digital lottery and technology to state and national lotteries, with its corporate base in London and major operating centres in Rome and Providence. It took the Brightstar name after IGT sold its gaming and digital business in 2025, and it runs lotteries across the US, Italy, Canada, Latin America and Europe, with a technology hub in Warsaw. It hires software, full stack and quality assurance engineers, business analysts, lottery field service technicians, sales representatives and finance staff.

Brightstar is an innovative, forward-thinking global leader in lottery that builds on our renowned expertise in delivering secure technology and producing reliable, comprehensive solutions for our customers. As a premier pure play global lottery company, our best-in-class lottery operations, retail and digital solutions, and award-winning lottery games enable our customers to achieve their goals, fulfill player needs and distribute meaningful benefits to communities. Brightstar has a well-established local presence and is a trusted partner to governments and regulators around the world, creating value by adhering to the highest standards of service, integrity, and responsibility. Brightstar has approximately 6,000 employees. For more information, please visit www.brightstarlottery.com.

Overview

We are seeking a Software Data Developer II to join our team. In this role, you will support Brightstar Lottery's data conversion, migration, and transformation initiatives by designing, developing, testing, and supporting solutions that ensure data accuracy, integrity, and successful movement between source and target systems. You will collaborate with cross-functional stakeholders to build scalable data-processing solutions, automate reconciliation activities, and deliver reliable conversion outcomes that support critical business objectives. This role will be located hybrid in Moncton, New Brunswick, Canada.

Responsibilities

  • Design and maintain data conversion, migration, and transformation processes across enterprise systems
  • Analyze source and target data structures to define mappings, transformation rules, dependencies, and data-quality requirements
  • Build reusable ETL/ELT workflows, scripts, stored procedures, and automated data-processing solutions
  • Implement business and technical transformation logic while preserving data accuracy and integrity
  • Develop automated reconciliation, balancing, and validation processes to verify conversion completeness and correctness
  • Investigate data discrepancies, processing failures, and data-quality issues across large and complex datasets
  • Design and develop efficient SQL queries, stored procedures, scripts, and data processing components
  • Participate in code reviews and technical design reviews

Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related field, or equivalent professional experience
  • Strong SQL skills and experience working with relational database systems
  • Demonstrated experience developing software applications, data-processing solutions, or conversion utilities
  • Expertise in data conversion, ETL/ELT, data migration, or large-scale data-processing projects
  • Proficiency with programming or scripting languages such as Python, Java, C#, PowerShell, or similar technologies
  • Ability to analyze large datasets, troubleshoot issues systematically, and communicate effectively with technical and business stakeholders

Preferred

  • Exposure to enterprise-scale data migration or system modernization initiatives
  • Knowledge of automated data validation, balancing, and reconciliation frameworks
  • Understanding of relational database concepts including keys, referential integrity, joins, constraints, aggregations, and transactional data
  • Background supporting mock conversions, test conversions, and production deployment activities
  • Experience creating traceability controls between source, transformed, and target data
  • Familiarity with audit-ready documentation and data-governance practices

Success Profile

  • Leading Complexity
  • Leading People
  • Leading the Business
  • Leading Self

#LI-TC1 #LI-HYBRID

Brightstar is committed to sustaining a workforce that reflects the diversity of the global customers and communities we serve, and to creating a fair and inclusive culture that enables all our employees to feel valued, respected and engaged. Brightstar is an equal opportunity employer. We provide equal opportunities without regard to race, color, religion, gender, sexual orientation, gender identity, gender expression, pregnancy, marital status, national origin, citizenship, covered veteran status, ancestry, age, physical or mental disability, medical condition, genetic information, or any other legally protected status in accordance with applicable local, state, federal laws or other laws. We thank all applicants for applying; however, only those selected to interview will be contacted.

All Brightstar employees have a role in information security. Annual training will be assigned and required as appropriate.

For more information, please visit www.brightstarlottery.com.

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