Senior Software Engineer

​Department brief:

The Enterprise Data and Insights team at FactSet provides actionable insights based on consistent, trusted data through a robust framework of analysis, infrastructure, and visualizations.  Our vision is to empower the workforce to make informed decisions that drive value, growth, and efficiency throughout the enterprise. 

We are currently looking for a candidate with strong background in modern, cloud-based data engineering (Databricks preferred) to build and maintain stable and scalable solutions of ingesting and storing terabytes of data in near real-time.  

Job Responsibilities

• Design and develop data processing and storage workflows

• Collaborate with other engineers to integrate datasets to establish an end-to-end solution

• Develop projects using Azure/Lambda functions or Databricks

• Build and enhance the Enterprise Data Warehouse using Kimball Methodologies

• Excellent planning, organization, and leadership skills to estimate, track, and complete deliverables.

• Provide production support with occasional after-hours availability.

Job Requirement:

• Bachelor’s degree, preferably in Computer Science or equivalent professional experience.

• 2+ years of hands-on experience in designing and implementing data pipelines using Databricks or similar ETL tools (AWS Glue)

• 2+ years of experience in Advanced SQL programming working with large data sets

• Strong hands-on experience in SQL and PySpark

• Understanding of Lakehouse architecture using Delta Lake or Iceberg

• Understanding of REST APIs Integrations, Key Value data stores and Caching technologies

• Understanding of core concepts of distributed databases like Redshift, Snowflake etc.

• Strong technical, analytical, troubleshooting, and communication skills

​Preferred certifications

• AWS Certified Database - Specialty

• AWS Certified Data Analytics - Specialty

• Azure Data Engineer Associate (DP 203)

• Databricks Certified Data Engineer Professional

• Databricks Certified Associate Developer for Apache Spark 3.0 – Python

Diversity:

At FactSet, we celebrate diversity of thought, experience, and perspective. We are committed to disrupting bias and a transparent hiring process. All qualified applicants will be considered for employment regardless of race, color, ancestry, ethnicity, religion, sex, national origin, gender expression, sexual orientation, age, citizenship, marital status, disability, gender identity, family status or veteran status. FactSet participates in E-Verify.

Return to Work:

Returning from a break? We are here to support you! If you have taken time out of the workforce and are looking to return, we encourage you to apply and chat with our recruiters about our available support to help you relaunch your career.