Job DescriptionAbout the Role:- 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.
Responsibilities of the Role:- 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
Requirements of the Role:- 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
The salary range for this position in New York City is $115,000 - $140,000 /year
Full Time / Part TimeFull time
Worker TypeEmployee
Job Exempt (Yes / No)Yes
Workplace ModelPursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development.
The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time.
