Software Engineer - Data Platform

Software Engineer - Data Platform page is loaded## Software Engineer - Data Platform locations:
USA - Atlanta - Georgia time type:
Full time posted on:
Posted Todayjob requisition :
R0023774

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.#
** Qualifications
* *** Required
* ** 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 have
*** 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.

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.
** 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  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.

Nas…