Senior Data Engineer

Fidelity Investments • Westlake, TX

69d • Hybrid

About The Position

Join a fast-paced team transforming financial data into powerful insights. As a Senior Data Engineer, you'll architect and optimize data solutions that drive decision-making across compensation, sales, and reporting functions.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or related field
• 5+ years of experience in software or data engineering
• Strong Java development skills, especially with Spring frameworks (Spring Batch preferred)
• Proficiency in Python and Unix shell scripting
• Solid understanding of data modeling (3NF, Star Schema)
• Experience with DevOps tools like Jenkins, Terraform, and CloudFormation
• Familiarity with Agile methodologies (SCRUM, Kanban)
• Experience deploying containerized applications using Docker

Nice To Haves

• Background in financial services is a plus.

Responsibilities

• Design and build scalable data pipelines using Java Spring Batch, Python, and AWS
• Analyze complex datasets to uncover trends and support business strategy
• Develop cloud-native applications leveraging AWS services like Batch, S3, and IAM
• Work with Snowflake, Oracle, and SQL to deliver high-performance data warehousing
• Optimize ETL/ELT processes and SQL queries for speed and efficiency
• Collaborate with cross-functional teams to deliver impactful data solutions
• Support and enhance production systems with a focus on reliability and performance.

Benefits

• Work on mission-critical systems with real business impact
• Solve complex challenges in a dynamic, data-rich environment
• Grow your skills with modern tools and technologies
• Be part of a collaborative, innovative, and supportive team

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Securities, Commodity Contracts, and Other Financial Investments and Related Activities
• Number of Employees: 5,001-10,000 employees