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NinjaTraderSenior Data Engineer
Data Engineer developing architecture and pipelines for data analytics at NinjaTrader. Empowering analysts and improving business workflows through data - driven solutions.
About the role
- Collaborate globally with our Product and Data teams while working day-to-day alongside and learning from our Toronto-based data engineers in a supportive, hybrid environment
- Build and evolve scalable data pipelines (ETL/ELT) that ensure reliable data flow across systems and teams
- Work on data modeling, transformation, and validation to maintain high-quality datasets that power analytics and machine learning
- Help optimize and modernize our data infrastructure, improving performance and reliability across platforms
- Partner with engineers, analysts, and data scientists to identify opportunities for automation and better data accessibility
- Grow through mentorship by receiving guidance and coaching from experienced data engineers, helping you sharpen your technical skills and accelerate your career
Requirements
- Currently pursuing an undergraduate degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field. Expected to graduate by Spring 2027.
- Strong programming skills: Solid computer science fundamentals with experience in Python and/or SQL
- Interest in data infrastructure: Excited to build and maintain data pipelines, models, and systems
- Database familiarity: Understanding of relational databases and data processing tools; experience with cloud platforms (AWS, GCP, or Azure) is a plus
- Understanding of data modeling and ETL concepts: Coursework or project experience a strong advantage
- Analytical mindset: You enjoy solving complex data problems and thinking critically about performance and trade-offs
- Curiosity and drive: Eager to learn new technologies like Spark, Airflow, or modern data warehouses
- Collaboration skills: You communicate clearly and work effectively with cross-functional partners
Benefits
- Flexible work arrangements
- Professional development opportunities
- Supportive working environment
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