[Closed] Job: Financial Data Engineer in Bethesda, MD
Conlan Scientific is a full-stack financial data science development services firm. We focus primarily on quantitative investment strategy development for funds, banks, and lenders.
Technical Requirements
- Bachelor's or greater in a quantitative field.
- SQL mastery. We move large workloads through SQL-based data stores.
- Expertise in various alternative database platforms. You will advise the company on adoption of the appropriate data stores for different workloads.
- Python programming experience. We work primarily in Python and you will need to ensure interoperability between our data and our Python developers.
Nice-to-haves
- Django/SQLAlchemy experience.
- AWS cloud administration experience.
Your Responsibilities
Work with Chris Conlan and other team members to continue to develop on R&D contracts with our financial services clients. Meet our data engineering, pipelining, updating, ETL, and availability requirements for our work and our clients.
Employment Terms
One of the following ...
- Part-time contract role on-site at our Bethesda, MD office.
- Full-time, salaried, with benefits, working primarily on-site at our Bethesda, MD office.
We will discuss the appropriate terms based on your needs, our needs, and your skills.
How to Apply
Email hiring@conlan.io.
Recommended Reading
Interested in what we work on, how we work, and what we think is important in data science? See the following books.
- Fast Python by Chris Conlan
- Advanced in Financial Machine Learning by Marcos Lopez de Prado
- Algorithmic Trading with Python by Chris Conlan