Senior Engineer-1

Invesco; Boston (MA); Hybrid; USD 135,000 - 145,000; Full time

Benefits offered by this job

Flexible paid time off

Hybrid work schedule

401(K) matching

Health & wellbeing benefits

Parental Leave benefits

Employee stock purchase plan

Job summary

Invesco is seeking a Senior Engineer, Investments Technology, in Boston to design and support data engineering capabilities. This role will involve collaborating closely with quantitative research teams and ensuring accurate delivery of model content through various channels.

The ideal candidate has a Bachelor’s degree in Computer Science or related field, with 3+ years of experience in software or data engineering, specifically in SQL Server and Python.

Qualifications

• 3+ years of hands-on experience in software engineering or data engineering.
• Experience in financial services or asset management preferred.
• Experience with complex SQL queries, performance tuning, and ETL workflows.

Responsibilities

• Design and maintain data-engineering workflows supporting model delivery.
• Develop ECOS platform components for model content processing.
• Ensure data quality and completeness through proper logging and monitoring.

Skills

Data engineering concepts

Python service development

SQL Server and T-SQL

CI/CD and DevOps practices

Analytical problem-solving skills

Education

Bachelor’s degree in Computer Science, Engineering, Data Science, or related field

Tools

AWS services

Python

Job description

About Invesco

As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.

What’s in it for you?

• Flexible paid time off
• Hybrid work schedule
• 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution
• Health & wellbeing benefits
• Parental Leave benefits
• Employee stock purchase plan

Job Description

About the Team: You’ll be joining the Investments Technology organization supporting the Solutions business unit, where we build and maintain platforms that empower portfolio managers, quantitative researchers, analysts, and client engagement teams.

You will primarily support the ECOS application and the broader model delivery platform, which is responsible for transforming, validating, and delivering investment model content to internal and external destinations. The team is known for its deep technical expertise, strong engineering culture, and commitment to reliability, innovation, and high‑quality delivery.

About the Role: We are seeking a Senior Engineer, Investments Technology, to design, enhance, and support capabilities within the model delivery platform, including ECOS. This role will partner closely with quantitative research teams, model owners, and downstream consumers to ensure accurate, timely, and scalable delivery of model content across multiple channels such as S3, FTP, email, websites, and internal systems. This individual will work in a fast‑paced environment requiring strong data engineering capabilities, attention to detail, and a mindset focused on reliability and automation. The role reports to the Director, Investments Technology supporting the Solutions business unit.

Responsibilities of the Role:

• Designing, building, and maintaining data‑engineering workflows that support model delivery across multiple destinations.
• Developing and extending the ECOS platform components responsible for ingesting, transforming, validating, and routing model content.
• Building robust SQL Server/T‑SQL–based logic for data processing, validation, auditing, and error handling.
• Implementing scalable Python services, microservices, and automation tools supporting the end‑to‑end delivery lifecycle.
• Designing and operating CI/CD pipelines for model delivery services.
• Ensuring data quality, completeness, and traceability through proper logging, monitoring, and operational tooling.
• Working closely with quantitative researchers and model owners to improve delivery workflows and enhance platform usability.
• Experimenting with new tools, design patterns, and technologies to continuously improve reliability, performance, and maintainability.
• Participating in on‑call rotation or escalation support for production model delivery processes (as needed).

Requirements of the Role:

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
• 3+ years of hands‑on experience in software engineering or data engineering (financial services or asset management experience preferred).
• 3+ years of SQL Server and T‑SQL experience, including complex query design, stored procedures, performance tuning, and ETL workflows.
• 3+ years of Python experience, including data processing, service development, or automation frameworks.
• Strong experience with data engineering concepts (data modeling, data pipelines, validation frameworks, lineage, error handling).
• Hands‑on experience with modern CI/CD and DevOps practices.
• Experience with AWS services (e.g., Lambda, S3, Step Functions, Fargate, Aurora, Terraform) preferred.
• Experience designing scalable systems and APIs for data‑delivery use cases.
• Experience working with structured and unstructured datasets.

Skills / Other Personal Attributes Required:

• Ability to work with ambiguity—imperfect data, evolving requirements, and conceptual model logic—and convert them into reliable technical solutions.
• Strong analytical, debugging, and problem‑solving skills.
• Highly self‑motivated and capable of taking ownership with minimal supervision.
• Strong written and verbal communication skills, including documentation.
• Enthusiasm for challenging, thought‑provoking engineering work with a desire to learn and grow.
• Ability to manage multiple tasks and priorities effectively.
• Positive, team‑oriented attitude and willingness to collaborate.
• Ability to work effectively under pressure and meet tight deadlines.
• Strong interpersonal skills and willingness to listen and incorporate feedback.
• Structured, disciplined approach to engineering with high attention to detail.
• Adaptability—comfortable with shifting priorities and evolving business needs.
• Commitment to maintaining up‑to‑date knowledge of relevant technologies and industry best practices.
• Ability to work in a global, multicultural environment.

The salary range for this position in Atlanta, GA is $135,000 - $145,000 Base/year. The total compensation offered for this position includes salary and incentive pay and will vary based on skills, experience and location.

Full time

Employee

Yes

Workplace Model: Pursuant 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.

Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non‑discrimination in employment.