Senior Software Engineer Data Platform

Nasdaqs Data Platform turns messy, multi-modal content into trusted, governed data that powers decisions and AI experiences across the company. As a Software Engineer, youll design and scale workflows that acquire content from heterogeneous sources, extract structured knowledge, and assemble golden records with full lineage and governance. Youll build multi-agent workflows and digital workers that automate onboarding, transformation, and quality checks so the right data is accurate, explainable, and on time.

Youll join a tight-knit engineering group where you own meaningful slices of the platform, collaborate closely with product and data partners, and see your work land in production.

• Acquire: Design and implement pluggable connectors (APIs, S3/Blob, SFTP, HTTP, message buses). Ship auth, throttling/backoff, CDC, idempotent loaders, and safe backfills with dashboards and alerts.
• Extract: Build layout-aware parsing for PDFs/HTML/DOCX/Images with OCR; segment content for RAG and entity matching; enrich topics, language, and license flags with measurable precision/recall.
• Match: Implement and evaluate entity-resolution pipelines (Siamese/bi-encoders + rules); define blocking keys; add transparent match explanations for stewards and audit.
• Map: Contribute to an LLM?assisted suggest/approve/apply field?mapping flow; run change?impact checks; extend transformation libraries (dates, currencies, code mappings) with tests and versioning.
• Master: Assemble golden records with survivorship rules; maintain SCD2 history; enforce constraints, anomaly detection, and freshness SLOs.
  

• 3+ years in software/data engineering (or equivalent), with production experience building and operating data pipelines or AI?enabled data services.
• Proficiency in Python and SQL; working comfort with Bash and Linux tooling.
• Demonstrated ability in containerization (Docker), Git CI/CD pipelines, and AWS services (S3, EC2, ECS, EKS).
• Hands?on with at least one of: Spark/Databricks (or similar distributed compute), orchestration, Kafka (or event/stream tech).
• Ability to write clear design docs, run experiments, interpret metrics, and make trade?offs (speed vs. reliability vs. cost).
  

• Experience building agentic and multi?agent workflows (tool routing, skill specialization, evaluation/guardrails).
• Familiarity with LLM?powered enrichment (prompting, RAG, embeddings), vector stores, and quality evaluation for extraction/matching.
• Exposure to Databricks, Delta/Unity Catalog, data lineage, and data governance.
  

This position 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.

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.

Were 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 Nasdaqs 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.

• 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