Sr. Data Engineer - #1413293

About Calamos

Calamos is a diversified, global asset and wealth management firm offering a wide range of innovative investment strategies. As one of the top liquid alternative asset managers in the world, Calamos maintains dedicated investment teams across all asset classes, with global research capabilities and access to specialized private and public markets. Calamos offers investment strategies and personal wealth management solutions through separately managed portfolios, mutual funds, ETFs, closed-end funds, private funds, and UCITS funds. Clients include major corporations, pension funds, endowments, foundations, and individuals, as well as the financial advisors and consultants who serve them. Headquartered in the Chicago metropolitan area (with offices in both Naperville and Fulton Market in Chicago), the firm also maintains offices in New York, San Francisco, Milwaukee, Portland, and the Miami area.

Summary of the Role

Calamos is seeking a Senior Data Engineer with a passion for both data and the financial services industry. As a member of the Data Engineering team, this individual will be responsible for the management, curation, and understanding of the firm’s mission-critical data. The candidate will be the lead engineer tasked with leveraging the Databricks platform to create a competitive advantage for the organization.

Primary Responsibilities:

• Manage, curate, and understand the firm’s mission-critical data.
• Demonstrate strong communication skills to work effectively with business stakeholders and the data engineering team.
• Continuously evolve our lakehouse implementation to accelerate business value for all stakeholders
• Oversee the full life cycle of data pipeline projects, including design, development, testing, documentation, and production support.
• Build modern data pipelines using complex financial datasets needed for analytic products.
• Refine requirements with stakeholders based on their analytics needs.
• Collaborate with architects and engineers from other teams.
• Deliver software projects that adhere to both agile methodologies and firm software standards.
• Build semantic models to be utilized within Power BI dashboards.

Preferred Qualifications:

• Bachelor’s degree in related field or equivalent work experience required.
• At least 7 years of experience as a Data Engineer
• 3 years of experience developing primarily on the Databricks platform
• A working knowledge of programming languages such as Python or SQL to process data.
• Strong analytical and problem-solving skills with the ability to interpret and communicate complex financial data products.
• An understanding of equities, options, and fixed income security data
• Prior experience participating in building master data management systems.
• Knowledgeable in the basic reporting aspects of portfolio accounting
• Knowledge of swaps, futures, and other derivatives is also a plus
• Possess an enthusiasm for technology outside of work-related activities

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 $145,000 - $175,000. 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.