Join Our Innovative Team: Senior Data Engineer Position at FactSet

Department Overview: Join the Enterprise Data and Insights team at FactSet, a pivotal group that delivers actionable insights through a sophisticated framework of analysis, infrastructure, and visualizations. Our mission is to enable informed decisions that propel growth, value, and efficiency across the company.

We are on the hunt for a skilled Senior Data Engineer with expertise in modern, cloud-based data engineering, preferably with Databricks experience. This role involves building and maintaining robust, scalable data solutions that manage terabytes of data in near real-time.

Key Job Requirements

As a Senior Data Engineer, you will:

• Design and develop efficient data processing and storage workflows.
• Work collaboratively with engineers to merge datasets and create comprehensive solutions.
• Execute projects utilizing Azure/Lambda functions or Databricks.
• Advance our Enterprise Data Warehouse with Kimball Methodologies.
• Demonstrate superb planning, organizational, and leadership skills to manage and deliver project milestones.
• Offer production support and be available occasionally after hours.

Qualifications for Success

What you need to succeed:

• Bachelor’s degree in Computer Science or related field, or equivalent professional experience.
• At least 2 years of experience in designing and implementing data pipelines using Databricks or similar ETL tools like AWS Glue.
• Proficiency in Advanced SQL and PySpark.
• Knowledge of Lakehouse architecture, specifically Delta Lake or Iceberg.
• Familiarity with REST APIs integrations, key value data stores, and caching technologies.
• Understanding of distributed databases such as Redshift and Snowflake.
• Strong technical, analytical, and troubleshooting 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.

Commitment to Diversity

At FactSet, we embrace diversity in thoughts, experiences, and perspectives. We strive to eliminate bias and ensure a transparent hiring process. We welcome all to apply, irrespective of one's race, color, ethnicity, or any other status. FactSet is proud to participate in E-Verify.

Return to Work Program

If you are resuming your professional career after a break, FactSet supports your journey! We encourage applicants returning to the workforce to apply and discuss available support options with our recruiters to help relaunch your career.

Ready to make a significant impact at FactSet as a Senior Data Engineer? Apply today and join a team that values growth, efficiency, and informed decision-making!