Why this role stands out
As a Senior Python Engineer at The Caldwell Group, you'll leverage your strong Python and financial expertise to build robust data pipelines and analytical tools, directly impacting investment workflows. This hybrid role offers a fantastic opportunity for career growth and skill development within a reputable firm, so don't miss out on applying!
Quick overview
Job description
- MUST HAVE STRON PYTHON ENGINEERING AND FINANICAL BACKGROUND
- Build and maintain data pipelines ingesting from internal systems, market data vendors, and operational databases into analytical and application-facing stores
- Design and manage PostgreSQL and analytical data models that support front-office workflows and quantitative research
- Develop production Python and SQL code for ETL, validation, enrichment, and data quality monitoring
- Build and maintain lightweight internal applications and reporting interfaces, including browser-based tools using JavaScript where helpful
- Support research and analytics workflows involving large financial and time series datasets
- Partner with quantitative developers and investment users to improve data usability, transparency, and operational reliability
- 4+ years of experience in data engineering, analytics engineering, or software engineering with a strong data focus
- Strong Python experience required.
- Experience with relational databases; PostgresSql / Snowflake experience is a plus.
- Experience designing and operating ETL pipelines and data models in production
- Familiarity with dbt, AWS, Docker, Kubernetes (EKS), Kafka, Redis, and cloud data infrastructure is preferred
- Experience working with financial, transactional, or time series data is strongly preferred
- Some JavaScript experience for internal tools, dashboards, or data-grid-based interfaces is preferred
- Solid software engineering habits around testing, code quality, debugging, and documentation
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