Senior Software Engineer — Data Platform

Posted:
1/5/2026, 8:07:21 AM

Location(s):
Georgia, United States ⋅ Atlanta, Georgia, United States

Experience Level(s):
Senior

Field(s):
DevOps & Infrastructure ⋅ Software Engineering

Workplace Type:
Hybrid

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.

Key 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.

Required Qualifications

  • 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.

Preferred Qualifications

  • 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.

This position will be located in Atlanta and offers the opportunity for a hybrid work environment at least 4 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.

Come as You Are

Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

What We Offer

We’re proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq’s overall success.

In addition to base salary, Nasdaq offers significant other compensation (annual bonus/commissions and equity), benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands.

Nasdaq’s programs and rewards are intended to allow our employees to:

  • Secure Wealth: 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
  • Prioritize Health: Comprehensive medical, dental and vision coverage, Health spending account with employer contribution, Paid flex days to support mental wellbeing, Gym membership discounts
  • Care for Family: Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leave
  • Connect with Community: Company gift matching program, Employee resource groups, Paid volunteer days
  • Grow Career: Education Assistance Program, Robust job skills training and Professional development opportunities

For more information, visit Nasdaq Benefits & Rewards Career page.