обновлено 9 дней назад
Databricks Data Engineer (Risk Technology)
120 000 - 160 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Databricks Data Engineer (Risk Technology) (Azure Databricks, Apache Spark, Delta Lake): Building scalable batch and streaming data pipelines and curated datasets for US risk management and AML applications with an accent on ETL/ELT engineering, cloud data platforms, and secure software delivery. Focus on implementing Databricks-based data processing, integrating structured and unstructured sources, and translating banking and risk requirements into reliable technical solutions.
Location: Chicago, Illinois, United States; hybrid work with 2 days per week on-site at 70 W Madison St
Salary: $120,000–$160,000 per year for the Chicago market, plus potential incentive compensation.
Company
CIBC is a relationship-oriented bank providing financial services and technology solutions for modern banking and risk management.
What you will do
- Design, develop, and maintain scalable batch and streaming data pipelines with Azure Databricks and Apache Spark.
- Build and optimize ETL/ELT frameworks that ingest structured and unstructured data into cloud platforms.
- Engineer and publish curated datasets for business intelligence tools and downstream applications.
- Support AML Technology and other applications used by the US Risk Management business.
- Translate business requirements into robust technical solutions across the software development life cycle.
- Document delivery activities and implement secure coding and DevSecOps practices.
Requirements
- 5–7 years of software engineering experience and a relevant post-secondary degree.
- Hands-on Databricks experience implementing ETL processes.
- Proficiency in Python and SQL, with experience in PySpark or Spark SQL.
- Experience with Microsoft Azure, databases, cloud computing, or application development and support.
- Understanding of banking fundamentals, risk management, capital stress testing, credit risk models, or regulatory compliance.
- Must be legally eligible to work in the United States at the specified location; visa sponsorship is not available.
Nice to have
- Experience with C# and .NET.
- Azure certification such as AZ-900.
- Experience with Azure services, machine learning, PostgreSQL, Azure Blob Storage, or Azure DevOps.
Culture & Benefits
- Hybrid work arrangement with flexibility to manage work activities across on-site and remote days.
- Medical, dental, vision, health savings account, life and disability insurance.
- Paid sick leave, parental leave, vacation, and holidays.
- 401(k), incentive pay, banking benefits, wellbeing support, and recognition programs.
- Inclusive workplace with accessibility support and opportunities for professional development.
Hiring process
- Potential attribute-based assessments and skills tests, including simulation, coding, or MS Office assessments.
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