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Added 13 mins ago
Proposal Specialist 1
L3Harris Technologies
Montreal, QC
Take ownership of the solution, engage with estimators and other functional groups to accurately cost the project;
Added 13 mins ago
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Senior QA Test Lead / Senior Test Lead
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Support Workday releases, regression testing, deployments, and production validation.
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Senior Business Analyst
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Added 57 mins ago
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Added 58 mins ago
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Coupa Administrator/Analyst
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Brightstar Lottery

Software Data Developer II

Dieppe, NB, Canada

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Job details

Posting language: English
Posted: Oct 27, 2026

Original job description

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

#LotteryTechnology

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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More about this job

Responsibilities

You will design, develop, and maintain data conversion, migration, and transformation processes to ensure data accuracy across enterprise systems. Additionally, you will build automated reconciliation and validation workflows while collaborating with stakeholders to support critical business objectives.

Requirements

Candidates must hold a bachelor's degree in a relevant field and possess strong SQL skills with experience in data processing or migration. Proficiency in programming languages like Python, Java, or C# is required, along with the ability to analyze complex datasets.

Skills

SQL
Data conversion
Data migration
ETL/ELT
Python
Java
C#
PowerShell
Data processing
Stored procedures
Data integrity
Reconciliation
Relational databases
Data mapping
System modernization

Visa sponsorship

Not detected in the job text

Keywords

Software Data Developer
Data Conversion
Data Migration
ETL
ELT
SQL
Python
Java
C#
PowerShell
Relational Database
Data Integrity
Data Mapping
Reconciliation
System Modernization
Data Governance
Stored Procedures
Data Processing
Lottery Technology
Enterprise Systems
Data Quality
Scripting
Software Engineering
Information Systems
Data Engineering

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