Internal Posting - Software Engineer (Databricks/Snowflakes)

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions.

At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations.

Data Solutions (DS) is the industry-leading content delivery platform. Data is delivered via a variety of technologies and formats that meet the needs of our clients’ workflows. By enabling our clients to utilize their preferred choice of industry standard databases, programming languages, and data visualization tools, DS empowers them to focus on the core competencies needed to drive their business. The solutions portfolio includes Standard DataFeeds, Cloud & Managed Services, OnDemand (API), Views, Cornerstone, Exchange DataFeeds, Benchmark DataFeeds, the Open:FactSet Marketplace, and other non-workstation initiatives.

Your Team's Impact

DS is seeking an experienced Software Engineer to contribute to the Cloud & Managed Services Team. DS is building cloud-based data distribution pipelines that allow users to more easily consume the FactSet and Provider Marketplace feeds, with the goal of providing a frictionless experience that empowers clients to focus on their core competencies rather than data management. Current offerings include Data Feed delivery via Snowflake integration, and Databricks, all of which represent areas of potential significant growth in feed sales.

What You'll Do

As an experienced Software Engineer with a background in data engineering, you will lead and deliver solutions that enable efficient vectorized data management and retrieval across our Snowflake and Databricks platforms. You will also mentor a growing team, collaborate with stakeholders and implement scalable data pipelines optimized for large-scale analytical and AI/ML workloads.

• Contribute end-to-end design, implementation, and optimization of data pipelines for vectorized data storage, transformation, and serving.
• Collaborate with cross-functional teams (data science, analytics, product) to define data requirements, architecture, and data models optimized for vector data.
• Deliver high-performance data solutions using Databricks (Spark, MLflow, Delta Lake) and Snowflake, leveraging vectorized storage and retrieval mechanisms.
• Develop robust ETL/ELT processes for large datasets, including data ingestion, feature extraction, and index building for vector similarity search.
• Enhance existing data platforms to support vector data workloads, integrating with LLM and other AI/ML services as needed.
• Ensure data governance, security, quality, and compliance with internal and external regulations.
• Monitor, troubleshoot, and optimize data pipelines and processes for cost and performance.
• Stay on top of emerging technologies in vector databases, cloud data platforms, and AI/ML infrastructure.

What We're Looking For

• 3+ years of experience in system design for large-scale, distributed systems
• Good proficiency in Python, C#, python, AWS, Snowflake/Databricks and/or Go preferred programming
• Experience with cloud-native application development and cloud platforms (AWS/Azure/GCP)
• Hands-on experience with vector data storage, vector databases, and similarity search (e.g., ANN, Faiss, Pinecone, Milvus).
• Hands-on expertise with modern datalake and cloud data platforms such as Snowflake, Databricks, Redshift, or similar
• Experience in batch and/or real-time data processing applications
• Experience integrating data platforms with AI/ML or LLM applications is a strong plus.
• Strong written and verbal communication skills
• Strong pragmatic, iterative approach to problem solving and prototyping
• Experience with DevOps tools, CI/CD pipelines, and modern software development best practices 

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.