Company offers customized investment solutions for tax-exempt and taxable institutional clients. Company manages over $274 billion in fixed income and equity securities and over $164 billion in derivative notional value. We seek bright, motivated individuals who can contribute to our growing team of professionals. Candidates with a high degree of independent thinking skills, strong analytical and quantitative skills, and team playing abilities with a desire to make a difference are encouraged to apply.

Responsibilities The Senior Engineer, Data Management is a member of the Data Engineering team responsible for developing and maintaining data pipelines for a variety of stakeholders across the enterprise. They will define, design, develop, unit test, and support ETL solutions to meet complicated and time-sensitive business requirements. In addition, the Senior Engineer supports and manages high-severity production incident resolution, performs code reviews, performs pipeline testing, and participates in on-call rotations. They should be comfortable working in a fast-paced team environment and have the skills to troubleshoot and resolve data integration issues independently. Additionally, they will be expected to rigorously document and develop best practices and train and mentor junior developers. This role will also be instrumental in helping to modernize company's data engineering practices.

Qualifications Qualifications: Bachelor's degree in Computer Science or a related field or relevant work experience required At least 5 years of professional experience in ETL development and data engineering Professional work experience with Databricks 3+ years of experience with relational databases, SQL, and SSIS development Experience with Python, PySpark, C#, or similar high-level language Experience with development in the public cloud, preferably in AWS Ability to perform complex data analysis and troubleshooting Preferred Qualifications: Experience with IaaS Development: VS Code, Github, Terraform Hands-on experience designing and implementing modern data platforms and pipelines