Senior Engineer, Invest Tech
About The Position
As an Engineer, Investment Technology, you will be working on the application team that builds and supports Separately managed accounts platform. The Fixed Income SMA team relies on high-quality data pipelines and internal tooling to support portfolio management, trading, and research workflows. We are adding a Senior Data Engineer to help build and maintain the data layer behind these systems, with a particular focus on reliable ingestion, data modeling, analytical datasets, and practical internal applications. This role sits within Investment Technology but will work closely with the SMA quantitative research and engineering team. This role is a chance to help shape the data foundation for a fast-growing front-office platform while working closely with a highly technical investment-facing team. The work is practical, visible, and directly connected to trading, research, and portfolio outcomes.
Requirements
- 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
- Solid software engineering habits around testing, code quality, debugging, and documentation
Nice To Haves
- 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
Responsibilities
- 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
Benefits
- Flexible paid time off
- Hybrid work schedule
- 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution
- Health & wellbeing benefits
- Parental Leave benefits
- Employee stock purchase plan
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
