Senior Data Engineer-Batch Processing

Fidelity • Smithfield, RI

9h • Hybrid

About The Position

This is a Senior Data Engineer position for a development chapter in FI Data Solutions (Product & Business Enablement domain). Looking for a hardworking, highly motivated developer with strong expertise in analyzing existing solutions, designing new solutions and helping team members in building robust and scalable solutions using Java Spring Batch, Python, AWS, Oracle, and Snowflake.

Requirements

• Bachelor’s or Master’s in a technology field (Engineering, Computer Science, etc.) with 8+ years of data engineering experience
• 4+ years of Java development with Spring; strong Spring Batch experience
• 2+ years developing AWS-based applications (AWS Batch, S3, IAM)
• 3+ years SQL experience (ANSI SQL, Oracle, Snowflake)
• 2+ years Python development
• Unix shell scripting (bash, ksh) and scheduling/orchestration tools (Control‑M)
• Strong data modeling in 3NF and Star Schema
• Solid data analysis skills; comfortable navigating complex data environments
• Experience with SQL performance tuning
• DevOps/CI/CD experience (Jenkins, Terraform, CloudFormation)
• Agile experience (Kanban, SCRUM)
• Docker/containerization experience
• Strong interpersonal skills for cross‑team collaboration

Nice To Haves

• Financial services industry experience a plus
• Proven ability to handle ambiguity and work independently or collaboratively in fast‑paced settings

Responsibilities

• Partnering with other technology collaborators to understand requirements to provide solutions
• Designing scalable technical solutions, keeping in mind business requirements and architecture roadmap
• Implementing Test Driven Design & Development in a CICD mode in support of DevOps
• Prioritizing and functioning in a fast-paced environment with focus on quality
• Willingness to seamlessly adapt to changing technology landscape
• Identify technical debts, make remediation recommendations, and lead the efforts
• Communicate effectively with extended teams.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level