Senior Data Engineer, Investment Tech (Hybrid)

Invesco; New York (NY); Hybrid; USD 120,000 - 140,000; Full time

Benefits offered by this job

Flexible paid time off

Hybrid work schedule

401(K) matching up to 6%

Health & wellbeing benefits

Parental Leave benefits

Employee stock purchase plan

Job summary

Invesco in New York City is seeking a Senior Data Engineer for the Investment Technology team. You will build and maintain data pipelines, design analytical data models, and develop production-grade Python and SQL code to support SMA portfolios and front-office workflows.

You will collaborate with quantitative researchers and engineers to improve data usability, reliability, and performance, enabling faster trading decisions and stronger portfolio outcomes.

Qualifications

• 4+ years of experience in data/analytics/software engineering with a strong data focus.
• Strong Python experience.
• Experience with relational databases (PostgreSQL/Snowflake 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 preferred.
• Experience with financial, transactional, or time series data preferred.
• Some JavaScript experience for internal tools preferred.
• Solid testing, code quality, debugging, and documentation.

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.

Skills

Python

Data engineering

ETL pipelines

Data modeling

Tools

PostgreSQL

Snowflake

dbt

AWS

Docker

Kubernetes

Kafka

Redis

Job description

Invesco in New York City is seeking a Senior Data Engineer for the Investment Technology team. You will build and maintain data pipelines, design analytical data models, and develop production-grade Python and SQL code to support SMA portfolios and front-office workflows.

You will collaborate with quantitative researchers and engineers to improve data usability, reliability, and performance, enabling faster trading decisions and stronger portfolio outcomes.