Databricks Data Engineer, Risk Technology at CIBC Bank USA — Chicago, IL
Full job description
What You’ll Be Doing
As a Databricks Data Engineer on the US Risk Technology team, you’ll be working on AML Tech, Databricks, and other applications to support the US Risk Management business. Working in a fast-paced environment, you will translate business requirements into robust technical solutions, leveraging Azure Databricks, Apache Spark, Delta Lake, and modern data engineering practices.
The role offers exposure to the full range of the software development life cycle, from development to testing to support.
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 days per week on-site, while other days may be remote.
How You’ll Succeed
- Technical Skills – Make the link between business problems and technology solutions with a cloud-first mindset. Design, develop and maintain scalable batch and streaming data pipelines using Azure Databricks and Apache Spark. Build and optimize ETL/ELT frameworks to ingest data from multiple structured and unstructured source systems into cloud platforms. Engineer and publish curated datasets for consumption by business intelligence tools and downstream applications
- Cloud Computing – Use the full range of Microsoft Azure Services with exposure to machine learning. Azure Certifications would be an asset (AZ-900).
- Documentation – Comfortable documenting each step of the software delivery life cycle on wiki and our change management software ServiceNow.
- DevSecOps – Write secure code following industry best practices and incorporate DevSecOps into your workflow.
- Communication – write with precision and clarity. Express technical concepts to non-technical audiences.
- Collaboration – build trusted working relationships with business stakeholders, technology partners, and external vendors.
- Business Savvy – apply knowledge of banking and risk management to ensure alignment between business objectives and software requirements.
- Continuous Learning – stay up-to-date with emerging technologies, changes in the banking industry, and regulatory developments.
Who You Are
- You can demonstrate 5-7 years experience in. Software Engineering and have a relevant post-secondary degree.. You must be proficient in languages such as Python and bring hands-on experience with the Databricks platform implementing ETL processes. You must be comfortable writing SQL queries. Experience with PySpark or Spark SQL for data processing, along with Microsoft Azure, would be valuable. Experience working with databases, cloud computing, or application development/support would be particularly relevant.
- It’s an asset if you have experience with C# and .NET
- You understand banking fundamentals. Exposure to risk management, capital stress testing, credit risk models, and regulatory compliance would be particularly relevant.
- You embrace and champion change. You'll continuously evolve your thinking and the way you work in order to deliver your best.
- Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.
- You’re digitally savvy. You seek out innovative solutions and embrace leading-edge technologies. You can easily adapt to new tools and trends.
- You're driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to create a shared vision.
- Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.
At CIBC, we offer a competitive total rewards package. This role has an expected salary range of $120,000 - $160,000 for the Chicago market based on experience, qualifications, and location of the position. The successful candidate may be eligible to participate in the relevant business unit’s incentive compensation plan, which may also include a discretionary bonus component. CIBC offers a full range of benefits and programs to meet our employee’s needs; including Medical, Dental, Vision, Health Savings Account, Life Insurance, Disability, and Other Insurance Plans, Paid Time Off (including Sick Leave, Parental Leave and Vacation), Holidays and 401(k), in addition to other special perks reserved for our team members.”
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What CIBC Offers
- We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.
- Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.
- We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.
What you need to know
- CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com
- You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.
- We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.
Job Location
IL-Chicago, 70 W Madison St Fl 10
Employment Type
Regular
Weekly Hours
40
Skills
.NET Programming, Application Development, Applications Programming, Azure Blob Storage, Azure Devops, Databricks Platform, Data Lake, Microsoft Azure, Microsoft Azure Databricks, Microsoft Azure Portal, PostgreSQL, PySpark, Python (Programming Language), Python Software Development, Software Development, SQL Databases, Structured Query Language (SQL)