Junior Data Engineer

Summary of the Role

Calamos is seeking a Junior Data Engineer who is passionate about data and eager to grow their skills within the financial services industry. You'll join our Data Engineering Team as we continue to modernize our data platform using Databricks, transforming how the firm leverages data as a strategic asset.

In this role, you'll participate in the lifecycle of data pipeline projects—from design and development through testing, documentation, and production support. You'll work hands-on with Databricks to build scalable data solutions that power critical investment decisions and operations.

As part of a collaborative team, you'll contribute beyond individual projects by participating in design sessions, engaging with stakeholders to understand their needs, and sharing in rotation-based production support duties.

Primary Responsibilities

• ##### Develop and maintain data pipelines in Databricks following Agile/Scrum methodology
• ##### Write clean, well-documented code that adheres to team and firm standards
• ##### Participate in the on-call rotation to monitor overnight data delivery SLAs, troubleshoot failures, and respond to data quality issues
• ##### Collaborate with architects, engineers, and business stakeholders to understand requirements and deliver solutions
• ##### Contribute to design sessions, code reviews, and continuous improvement initiatives

Preferred Qualifications

• ##### Bachelor's degree in Computer Science, Data Engineering, or related field
• ##### 3+ years of experience developing data pipelines in a modern data platform environment
• ##### Strong Python development skills with experience in PySpark and Databricks
• ##### Understanding of medallion architecture and data lakehouse concepts
• ##### Experience with Azure cloud services (Data Lake Storage, Key Vault, Azure DevOps)
• ##### Familiarity with Delta Lake and data quality frameworks
• ##### Experience with modern CI/CD practices and infrastructure as code
• ##### Strong SQL skills and understanding of data modeling principles
• ##### Excellent communication skills with ability to translate technical concepts for business stakeholders
• ##### Financial services industry experience is a plus

Compensation Disclosure

The compensation for this role takes into account various factors, including work location, individual skill set, relevant experience, and other business needs. The estimated base salary range for this position is $90,000 - $110,000. Additionally, this position is eligible for an annual discretionary bonus.

Please note that this is the current estimate of the base salary range intended for this role at the time of posting. The base salary range may be adjusted in the future.

Benefits

Calamos offers a comprehensive benefits package, including health and welfare benefits (medical, dental, vision, flexible spending accounts, and employer-paid short and long-term disability), as well as retirement benefits (401(k) and profit sharing), paid time off, paid parental leave, and other wellness benefits.