Senior Data Engineer - Python
About The Position
We are seeking a highly experienced Senior Data Engineer with strong Python development skills to support a large-scale data migration initiative. This individual will build and maintain data ingestion pipelines that extract data from legacy and enterprise systems, transform it, and load it into SQL databases for downstream reporting and analytics. The ideal candidate is a self-sufficient engineer who is comfortable working across APIs, databases, and ETL pipelines, with the ability to independently deliver high-quality solutions in a fast-paced environment. Location is commutable to New York City with some onsite work in New York.
Requirements
- 7+ years of Data Engineering and Python development experience.
- Expert-level Python programming.
- Strong ETL/data ingestion pipeline experience.
- Experience with APIs, MySQL, and PostgreSQL.
- Strong SQL skills.
- Experience using Git/GitHub.
- Ability to work independently with minimal oversight.
- Strong analytical and troubleshooting skills.
Nice To Haves
- Data modeling or data warehouse experience.
- Financial services or securities data experience.
- Experience with enterprise infrastructure management systems.
- Experience supporting large-scale data migration initiatives.
- Exposure to enterprise scheduling/orchestration tools.
- Data modeling and dimensional modeling
- Data warehouse architecture
- Financial services experience
Responsibilities
- Design, develop, and maintain Python-based data ingestion and ETL pipelines.
- Extract data from legacy/homegrown securities platforms, REST APIs, MySQL, PostgreSQL, Microsoft System Center, MDM tools, and similar enterprise systems.
- Develop Python scripts to transform, validate, and load data into MySQL and PostgreSQL databases.
- Support migration of existing data feeds into a new environment while ensuring data quality and reliability.
- Maintain source code in GitHub and support deployment through Bloomberg's internal scheduling platform.
- Monitor, troubleshoot, and optimize data pipelines.
- Collaborate with engineering and business stakeholders to implement scalable data solutions.
- Document data flows, processes, and technical solutions.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
