Senior Data Engineer, Investment Tech (Hybrid)

1110 Invesco Group Services, INC.; New York (NY); Hybrid; USD 115,000 - 140,000; Full time

Benefits offered by this job

Hybrid work schedule

401(K) matching

Health & wellbeing benefits

Parental Leave benefits

Employee stock purchase plan

Flexible paid time off

Job summary

Invesco is seeking a Senior Data Engineer in Investment Technology to build and maintain the data layer behind SMA platform workflows. You will focus on reliable ingestion, data modeling, analytical datasets, and practical internal applications that support trading, research, and portfolio outcomes.

The role involves production Python/SQL ETL, data quality monitoring, and collaboration with SMA quantitative researchers. NYC-based with a hybrid work schedule.

Qualifications

• 4+ years of data engineering, analytics engineering, or software engineering with a data focus.
• Strong Python experience is required.
• Experience with relational databases; PostgresSql / Snowflake 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 infra preferred.
• Experience with financial/time series data is preferred.

Responsibilities

• Build and maintain data pipelines ingesting from internal systems, market data vendors, and operational databases into analytical stores.
• Design and manage PostgreSQL and analytical data models supporting front-office workflows and quantitative research.
• Develop production Python and SQL code for ETL, validation, enrichment, and data quality monitoring.
• Build and maintain internal applications and reporting interfaces, including browser-based tools using JavaScript.
• Support research and analytics workflows involving large financial datasets.
• Collaborate with quantitative developers and investment users to improve data usability and reliability.

Tools

Python

PostgreSQL

Snowflake

dbt

AWS

Docker

Kubernetes (EKS)

Kafka

Redis

JavaScript

Job description

Invesco is seeking a Senior Data Engineer in Investment Technology to build and maintain the data layer behind SMA platform workflows. You will focus on reliable ingestion, data modeling, analytical datasets, and practical internal applications that support trading, research, and portfolio outcomes.

The role involves production Python/SQL ETL, data quality monitoring, and collaboration with SMA quantitative researchers. NYC-based with a hybrid work schedule.