Senior Data Engineer – Investment Tech (Hybrid)

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

Benefits offered by this job

Flexible PTO

Hybrid schedule

401(k) matching

Health benefits

Parental leave

Employee stock purchase plan

Job summary

Invesco Ltd. in New York City is seeking a Senior Data Engineer for the Investment Technology team, building and maintaining the data layer behind the SMA platform, with focus on ingestion, data modeling, and analytical datasets.

You will work closely with the SMA quantitative research and engineering teams to support portfolio management, trading, and research, delivering reliable data pipelines and internal tools.

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; 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.

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

SQL

Data pipelines

ETL

Data modeling

Problem solving

Tools

PostgreSQL

Snowflake

dbt

AWS

Docker

Kubernetes (EKS)

Kafka

Redis

JavaScript

Job description

Invesco Ltd. in New York City is seeking a Senior Data Engineer for the Investment Technology team, building and maintaining the data layer behind the SMA platform, with focus on ingestion, data modeling, and analytical datasets.

You will work closely with the SMA quantitative research and engineering teams to support portfolio management, trading, and research, delivering reliable data pipelines and internal tools.