Senior Data Engineer - Investment Technology

Invesco Ltd.; New York (NY); Hybrid; USD 115,000 - 140,000; Full time

Benefits offered by this job

Flexible paid time off

Hybrid work schedule

401(K) matching of 100% up to thefirst

Health & wellbeing benefits

Parental Leave benefits

Employee stock purchase plan

Job summary

Invesco in New York City is seeking a Senior Data Engineer to build and maintain the data layer behind the Separately Managed Accounts platform. The role focuses on reliable ingestion, data modeling, analytics datasets and practical internal applications that support trading, research, and portfolio outcomes.

Collaborate with a technical investment-facing team, applying production Python and SQL for ETL, validation, enrichment, and data quality monitoring, while leveraging PostgreSQL, AWS and

Qualifications

• 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; PostgreSQL/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 with financial, transactional, or time series data is strongly preferred.
• Some JavaScript experience for internal tools, dashboards, or data-grid interfaces is preferred.
• Solid software engineering habits around testing, code quality, debugging, and documentation.
• Salary range in NYC: $115,000 - $140,000 per year.
• Full Time / Part Time
• Worker Type Employee
• Workplace model requiring in-office presence several days a week

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

PostgreSQL

SQL

ETL pipelines

Data modeling

AWS

Docker

Kubernetes

dbt

JavaScript

Tools

PostgreSQL

Snowflake

AWS

Docker

Kubernetes

Kafka

Redis

dbt

Job description

Invesco in New York City is seeking a Senior Data Engineer to build and maintain the data layer behind the Separately Managed Accounts platform. The role focuses on reliable ingestion, data modeling, analytics datasets and practical internal applications that support trading, research, and portfolio outcomes.

Collaborate with a technical investment-facing team, applying production Python and SQL for ETL, validation, enrichment, and data quality monitoring, while leveraging PostgreSQL, AWS and