Software Engineer - Data Platform
About The Position
Nasdaq's Data Platform is transforming how business decisions are made. We power a global organization —enabling us to discover, acquire, and operationalize high‑value datasets. Our Data Platform underpins this mission with intelligent ingestion, extraction, entity resolution, ontology alignment, and mastering. We are seeking a Software Engineer for the Data Platform to design and scale the next generation of workflows that acquire content from heterogeneous sources, extract structured knowledge, and assemble golden records with full lineage and governance. You'll design and implement components for our data platform with a strong emphasis on data onboarding and automation for ingestion, processing, transformation, and quality checks by building multi-agent workflows and digital workers. You will join a tight‑knit engineering group, small enough for you to make a difference and backed by Nasdaq’s scale to amplify your impact. What you’ll build Acquire — Plug in new sources (APIs, S3/Blob, SFTP, HTTP, buses); auth, throttling, CDC, idempotent loaders, and safe backfills. Extract — Parse PDFs/HTML/DOCX/Images with OCR and layout‑aware techniques; segment content for RAG and entity matching; enrich topics/language/license. Match — Help train and evaluate entity‑resolution models (Siamese/bi‑encoders + rules), define blocking keys, and add explainability. Map — Align schemas/ontologies; contribute to an LLM‑assisted “suggest → approve → apply” mapping flow with change‑impact checks. Master — Assemble golden records with survivorship rules; support SCD2 history, quality constraints, anomaly detection, and freshness SLOs.
Requirements
- BS/MS in CS, CE, EE, Math, or related field (or equivalent project/research experience)
- Strong Python, SQL, bash
- Solid CS fundamentals (data structures, algorithms, networking/OS basics)
- Experience from internships, research, OSS, or substantial class projects building AI and distributed data‑centric software
Nice To Haves
- Experience with agentic workflows and multi-agent orchestration enabling natural language workflows, efficient tool selection, and specialized AI capabilities to manage complex, real-world tasks
- Familiarity with LLM‑powered enrichment (prompting, RAG, embeddings), vector stores, and evaluation of extraction/matching quality
- Expose to distributed data systems and orchestration (e.g., Spark/Databricks, Kafka) and real‑time/batch pipelines
- Familiarity with embeddings/vector stores and evaluation techniques
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
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Number of Employees
5,001-10,000 employees
