Senior Data Engineer (SQL, Python, Databricks)

Job Description

We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients. At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute. To learn more about CIBC, please visit CIBC.com What you’ll be doing As a Senior Data Engineer, you will leverage your expertise to contribute to the development, enhancement, and maintenance of critical software solutions. You will collaborate with cross-functional teams to design robust applications, drive technical innovation, and ensure high-quality delivery that supports strategic business objectives and elevates client experiences. CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 2-3 days per week on-site at our Chicago location, while other days may be remote. How you’ll succeed Delivery: Deliver projects with moderate oversight, owning outcomes, scope, and task delegation. Translate goals into clear technical tasks, make decisions within defined parameters, and ensure delivery aligns with departmental objectives and timelines. Technical Excellence: Design and ship secure, scalable solutions across the stack. Drive automation, comprehensive testing, CI/CD, and observability, while reducing technical debt and improving performance and reliability. Leverage GitHub CoPilot in Software Development best practices. Industry and Domain Impact: Apply banking product and regulatory knowledge to shape solutions and initiatives. Leverage current industry trends to drive measurable process and product improvements, making data-driven trade-offs and recommendations. Risk and Compliance: Participate in project-level risk assessments, define and execute mitigation plans, and embed security/privacy-by-design. Ensure adherence to policies and regulatory requirements, stay current on regulatory changes, and partner with Compliance and Audit for effective oversight. Stakeholder and Team Management: Work across product, design, operations, and partner teams. Communicate status, risks, and decisions clearly; influence cross-functional outcomes; participate in code reviews and knowledge sharing to raise team standards. Who you are: You possess 5-7 years of related experience OR Combination of education and experience, ideally within financial services or tech. You have demonstrated proficiency in data engineering within Azure and Databricks environments, utilizing PySpark and Scala for ETL processes, Azure SQL, and REST APIs. Your experience includes data ingestion, pipeline development and optimization, reporting, and advanced analytics leveraging Azure and Databricks (PySpark/Scala) services, as well as SQL Server/SSIS.These skills are essential

Required Skills