Your Team's Impact 

The team comprises highly motivated engineers and stakeholders who are passionate about extracting targeted insights from diverse document sources and transforming them into high-value data products. Leveraging cutting-edge technologies, the team focuses on building scalable pipelines that efficiently collect, structure, and process large volumes of data.

Over time, the team has developed a robust and high-performing data pipeline capable of generating best-in-class structured datasets that power FactSet’s products. Currently, the team is advancing this ecosystem by driving end-to-end automation across multiple stages of the pipeline. This includes the development of an event-driven, GenAI-centric, agent-based infrastructure aimed at enhancing efficiency, scalability, and innovation in data processing workflows.

SUB-PROCESS BRIEF  

We are looking for an experienced Engineering Manager to lead a high-performing Data Engineering team focused on building intelligent, highly automated platforms that process large volumes of financial data and documents. This role combines strong technical leadership with engineering management and execution excellence.

You will lead a team of 5–8 engineers while remaining hands-on in architecture, design, and critical implementation decisions. You will work closely with Product, Architecture, and Engineering leadership to transform complex business problems into scalable engineering solutions.

This role is ideal for someone who enjoys solving difficult engineering challenges, coaching engineers, driving execution, and continuously improving engineering practices.

What You'll Do

Technical Leadership

• Lead the architecture and development of scalable data engineering platforms.

• Design highly reliable document processing and metadata extraction pipelines.

• Drive automation-first engineering practices across the organization.

• Define technical direction and architectural standards for the team.

• Review system designs and code to ensure scalability, maintainability, and performance.

• Build cloud-native solutions using AWS services and containerized deployments.

• Optimize large-scale data processing pipelines for speed, cost, and reliability.

• Guide implementation of AI-assisted automation and modern data engineering techniques.

Engineering Management

• Lead a team of 5–8 engineers including Lead Software Engineers.

• Drive project planning, execution, estimation, prioritization, and delivery.

• Coach engineers and support their technical and professional growth.

• Build an ownership-driven engineering culture.

• Partner with Product Managers, Architects, and cross-functional stakeholders to deliver impactful solutions.

• Identify execution risks early and proactively drive mitigation plans.

• Continuously improve engineering processes, quality, and operational excellence.

What We're Looking For:-

Strong experience with:

• Python

• Pandas

• NumPy

• PyArrow

• FastAPI

• PostgreSQL

• DynamoDB

• Redis

• Elasticsearch

• Amazon S3

• Docker and containerized deployments

Experience with:

• Document processing platforms

• Financial data engineering

• Metadata extraction

• Data lineage

• API-first architectures

• Workflow automation

• Distributed data processing

• Cloud-native application development on AWS.

• 8-12 years of software engineering experience with strong expertise in data engineering.

• Prior experience leading engineering teams in a product organization.

• Strong architectural and system design skills.

• Experience building scalable backend systems and high-volume data processing platforms.

• Ability to balance technical depth with execution excellence.

• Excellent communication and stakeholder management skills.

• Comfortable working across multiple teams to drive technical alignment.

Non-Negotiable Expectations

We expect every successful candidate to demonstrate:

• Exceptional problem-solving ability

• Strong system design expertise

• Ownership mindset

• First-principles thinking

• Bias for automation

• Strong data modelling capabilities

• Performance optimization expertise

• Ability to simplify complex engineering problems

• Excellent communication skills

Qualifications

• Bachelor's degree in Engineering, Computer Science, or equivalent.

• Experience working in product engineering organizations preferred.

What's In It For You

At FactSet, our people are our greatest asset, and our culture is our biggest competitive advantage. Being a FactSetter means:

• The opportunity to join an S&P 500 company with over 45 years of sustainable growth powered by the entrepreneurial spirit of a start-up.

• Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and company-wide wellness days. 

• Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives.

• A global community dedicated to volunteerism and sustainability, where collaboration is always encouraged, and individuality drives solutions.

• Career progression planning with dedicated time each month for learning and development.

• Business Resource Groups open to all employees that serve as a catalyst for connection, growth, and belonging.

Learn more about our benefits here.

Salary is just one component of our compensation package and is based on several factors including but not limited to education, work experience, and certifications.