Data Developer (1 year contract/1 year secondment)

Canadian Imperial Bank of Commerce; Toronto; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

A leading Canadian bank in Toronto is seeking a Data Developer responsible for designing and maintaining data solutions. The ideal candidate will have a strong technical background in data engineering, programming (Python, SQL), and database management. This role offers a hybrid work environment, combining onsite and remote work. Candidates should have experience with ETL tools and cloud platforms. Join us to play a critical role in harnessing data for informed decision-making and strategic growth.

Benefits

Competitive compensation

Banking benefit

Wellbeing support

Employee assistance programs

Qualifications

• Strong technical background in data engineering and programming.
• Experience with ETL tools like Apache Airflow or Talend.
• Knowledge of data modeling and schema design.

Responsibilities

• Design, develop, and maintain data pipelines for processing.
• Create and optimize databases ensuring integrity and performance.
• Collaborate with data analysts and scientists to deliver insights.

Skills

Python

SQL

PySpark

Scala

ETL Development

Data Visualization

Big Data

Analytics

Education

Bachelor’s degree in Computer Science or related field

Tools

Apache Airflow

Talend

Informatica

MySQL

PostgreSQL

SQL Server

MongoDB

Cassandra

Hadoop

Spark

Kafka

AWS

Azure

Google Cloud

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

You will be joining the Enterprise Technology team, as a Data Developer you will be responsible for designing, developing, and maintaining data solutions that support the organization’s business objectives. This role involves working with large datasets, building data pipelines, ensuring data quality, and collaborating with cross‑functional teams to deliver actionable insights. The ideal candidate will have a strong technical background in data engineering, programming, and database management. The role of a Data Developer is critical in enabling organizations to harness the power of data for informed decision‑making and strategic growth. By designing and maintaining robust data pipelines, ensuring data quality, and collaborating with cross‑functional teams, Data Developers play a pivotal role in driving business success.

At 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 1‑3 days per week on‑site, while other days will be remote.

How You’ll Succeed

• Data Pipeline Development: Design, develop, and maintain scalable and efficient ETL (Extract, Transform, Load) pipelines to process and transform data from various sources. Troubleshoot: Identify and resolve data‑related issues in a timely manner. Automation: Automate repetitive data tasks to improve efficiency and reduce manual effort.
• Database Management: Create, optimize, and maintain databases, ensuring data integrity, security, and performance.
• Data Integration: Integrate data from multiple sources, ensuring consistency and accuracy across systems.
• Data Quality Assurance: Monitor and validate data to ensure accuracy, completeness, and reliability.
• Collaboration: Work closely with data analysts, data scientists, and business stakeholders to understand data requirements and deliver solutions.
• Documentation: Maintain clear and comprehensive documentation for data processes, pipelines, and systems.

Who You Are

• Proficiency in programming languages such as Python, SQL, PySpark or Scala. Experience with ETL tools (e.g., Apache Airflow, Talend, Informatica). Strong knowledge of relational databases (e.g., MySQL, PostgreSQL, SQL Server) and NoSQL databases (e.g., MongoDB, Cassandra). Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka). Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services. Knowledge of data modeling and schema design.
• Analytical Skills: Ability to analyze complex datasets and derive meaningful insights. Strong problem‑solving and critical‑thinking abilities.
• Qualifications: Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field. Experience with data visualization tools (e.g., Tableau, Power BI). Familiarity with machine learning workflows and tools. Knowledge of data governance and compliance standards (e.g., GDPR, CCPA).
• Soft Skills: Excellent communication and collaboration skills. Ability to work in a fast‑paced, dynamic environment.
• Key Competencies: Attention to detail and commitment to data accuracy. Strong organizational and time‑management skills. Ability to adapt to new technologies and methodologies.

• Values matter to you. You bring your real self to work, and you live our values – trust, teamwork, and accountability.

What CIBC Offers

At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential.

• We work to recognize you in meaningful, personalized ways including a competitive compensation, a banking benefit*, wellbeing support and additional offers such as employee and family assistance programs 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.

*Subject to program terms and conditions

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 [e-mail]
• CIBC is committed to clarity in our hiring process. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise.
• 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 test (such as simulation, coding, French proficiency).
• We use artificial intelligence tools during the recruitment process. 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.

Expected End Date

2027-01-19

Job Location

Toronto-81 Bay, 27th Floor

Employment Type

Temporary (Fixed Term)

Weekly Hours

37.5

Skills

Actionable Insights, Analytics, Big Data, Data Engineering, Data Visualization, ETL Development, PySpark, Python Software Development, Scala (Programming Language), Structured Query Language (SQL)