Senior Data Engineer

We are seeking a Senior Data Engineer to join a Data, AI & Analytics team. This role is ideal for someone who has a strong background in building scalable data pipelines, working with modern data warehousing platforms, and supporting production data environments.

The successful candidate will have a deep understanding of database concepts, data pipeline design, and modern ELT/ETL practices. They should also be able to communicate complex technical ideas clearly and deliver scalable data solutions that support business outcomes.

• Design, build, and optimize highly scalable and reliable data pipelines to support ELT/ETL processes across diverse source systems and platforms.
• Develop reusable frameworks and automation to standardize data ingestion, transformation, reconciliation, testing, and monitoring.
• Perform thorough code reviews to ensure solutions meet performance, scalability, security, and maintainability standards.
• Define, document, and enforce data engineering standards for the platform.
• Partner closely with business and analytics stakeholders to translate requirements into scalable technical solutions.
• Maintain and improve CI/CD pipelines for data platforms, including source control, build, test, and deployment workflows.
• Troubleshoot and resolve production issues such as data quality defects, pipeline failures, performance bottlenecks, and dependency breaks.
• Proactively identify opportunities to optimize and improve existing pipelines for reliability, observability, and operational efficiency.

• 8+ years of hands-on experience in data engineering, building and operating scalable ELT/ETL pipelines and data integration solutions.
• 4+ years of experience with data warehousing and Snowflake.
• Strong SQL expertise.
• Solid experience with dbt, including model design and testing.
• Experience with CI/CD pipelines for data platforms, including source control, automated testing, and deployments.
• Experience with tools such as Bitbucket, Jenkins, Git, or similar.
• Strong understanding of data architecture and data modeling.
• Ability to diagnose and solve complex, open-ended problems and deliver production-ready solutions.
• Experience supporting production data platforms, including troubleshooting performance and pipeline reliability issues.

• Experience with Data Vault 2.0.
• Experience in the Financial Services industry.
• Experience working in a highly regulated environment.
• Experience improving data platform reliability, observability, and automation.

This role follows a hybrid/in-office work model and requires onsite presence four days per week to support collaboration and business needs.

The anticipated base salary range for this position is $69,500 - $119,500, depending on experience, skills, education, budget, and geographic location. This position may also be eligible for participation in a bonus program.

The company offers a competitive benefits package, which may include health and wellness benefits, life and disability insurance, retirement savings programs, paid leave, vacation time, holidays, education-related programs, professional development support, and other employee programs.

• Modern office location within walking distance of Union Station
• Training reimbursement
• Paid professional designations
• Employee savings plan
• Corporate discount program
• Enhanced group benefits
• Parental leave top-up program
• Paid time off for volunteering

This opportunity is with a well-established financial services organization that values collaboration, innovation, continuous learning, and employee growth. The team works in a fast-paced environment where employees are encouraged to take ownership of meaningful work, contribute ideas, and support modern data and analytics initiatives.

The organization is committed to building a diverse and inclusive workforce. Candidates who are excited about the role are encouraged to apply, even if they do not meet every qualification listed.