Senior Software Engineer — Data Platform

Nasdaq • Atlanta, GA

2d • Hybrid

About The Position

As a Software Engineer on the Data Platform team reporting to the Director of Software Engineering, you'll play a critical role in building the systems that transform complex, multi-modal content into trusted, governed data powering decisions and AI experiences across Nasdaq. You'll thrive in this position if you're collaborative, passionate about data infrastructure, and bring a problem-solving mindset to designing scalable, production-grade systems in a fast-paced, high-impact environment.

Requirements

• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.
• 4+ years of experience in software or data engineering, with production experience building and operating data pipelines.
• Strong proficiency in Python and SQL, with working knowledge of Linux and container technologies like Docker.
• Hands-on experience with cloud platforms (AWS services such as S3, EC2, ECS, or EKS) and CI/CD pipelines.
• Familiarity with distributed computing frameworks (such as Spark or Databricks), orchestration tools, or event-streaming technologies.

Nice To Haves

• Experience designing multi-agent workflows or AI-enabled automation systems with evaluation frameworks.
• Familiarity with large language models, embeddings, vector databases, and quality evaluation for data extraction.
• Exposure to data governance platforms, lineage tracking, and catalog systems such as Unity Catalog or similar tools.

Responsibilities

• Design and build scalable data acquisition systems, including connectors for APIs, cloud storage, and streaming platforms with robust authentication, error handling, and monitoring.
• Develop intelligent extraction pipelines that parse documents and images, segment content for downstream use, and enrich metadata with measurable quality metrics.
• Implement entity-resolution and data-matching workflows with transparent logic, supporting data stewards in governance and audit processes.
• Contribute to transformation and mapping systems that help teams define, validate, and apply data standards with full version control and impact analysis.
• Assemble and maintain golden records with data quality checks, lineage tracking, and freshness monitoring to meet service-level objectives.

Benefits

• 401(k) program with 6% employer match
• Employee Stock Purchase Program with 15% discount
• Student loan repayment program up to $10k
• Company paid life and disability plans
• Generous paid time off
• Comprehensive medical, dental and vision coverage
• Health spending account with employer contribution
• Paid flex days to support mental wellbeing
• Gym membership discounts
• Hybrid home/office schedule (for most positions)
• Paid parental leave
• Fertility benefits
• Paid bereavement leave
• Company gift matching program
• Employee resource groups
• Paid volunteer days
• Education Assistance Program
• Robust job skills training and Professional development opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees