Top Financial Services Data Engineering Jobs in Chicago, IL

The role involves managing SitusAMC's Database Administration team, overseeing AWS RDS and EC2 databases, ensuring performance, security, and compliance with industry standards. Responsibilities include mentoring, optimizing database operations, collaborating on applications, and leading modernization efforts.

The Senior Data Architect designs scalable data architectures across Azure and Snowflake, aligning data strategies with business goals, ensuring data governance, and leading modern data initiatives. They mentor teams and oversee architecture documentation and solution design reviews.

Design and implement cloud-based data platforms, pipelines, and integrations. Ensure operational efficiency and support analytics, AI initiatives, and data governance. Mentor junior engineers and collaborate with cross-functional teams.

Lead the design and implementation of algorithmic trading strategies, oversee technical infrastructures, and mentor a multidisciplinary team while managing performance analysis and risk.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.

The Senior Data Engineer will develop and maintain scalable data pipelines, ensure quality standards, improve engineering practices, and engage with data teams to optimize operations.

The Senior Data Engineer will design and implement data processing pipelines using Java and Spark, optimize performance, and mentor junior engineers while ensuring compliance with data governance standards.

The Principal Data Architect will design and oversee the enterprise data architecture, ensuring effective modeling, integration, governance, and consumption of data across the organization. Responsibilities include building data models, implementing lakehouse strategies, and partnering with multiple teams for the evolution of data practices.

Develop and maintain data pipelines and reporting tools, support real-time processing workflows, and collaborate with teams to enhance platform capabilities, utilizing Java, Python, and Groovy scripts.

Responsible for designing, developing, and maintaining databases and ETL systems to support business applications and business intelligence. Collaborates with stakeholders to align business requirements and leads the design of automated solutions for operational efficiency.