Senior Software Engineer — Data Platform jobs in United States
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Nasdaq · 1 day ago

Senior Software Engineer — Data Platform

Nasdaq’s Data Platform transforms multi-modal content into trusted data that supports decisions and AI experiences. The Software Engineer will design and scale workflows to acquire content, extract structured knowledge, and build automated processes for data governance and quality checks.

FinanceFinancial ServicesStock ExchangesTrading Platform
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Culture & Values
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H1B Sponsor Likelynote

Responsibilities

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

Qualification

Data engineeringPythonSQLAWS servicesContainerizationGit CICD pipelinesSpark/DatabricksBashSoft skills

Required

4+ 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 CICD 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)

Preferred

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

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

Company

Nasdaq is a global provider of trading, clearing, exchange technology, listing, information, and public company services.

H1B Sponsorship

Nasdaq has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (21)
2024 (9)
2023 (7)
2022 (15)
2021 (19)
2020 (13)

Funding

Current Stage
Public Company
Total Funding
$9.52B
Key Investors
Matzliach Capital
2024-07-29Post Ipo Secondary· $2.72B
2024-03-19Post Ipo Secondary· $1.8B
2023-06-22Post Ipo Debt· $5B

Leadership Team

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Adena Friedman
Chair and Chief Executive Officer
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Bradley Peterson
EVP & CIO/CTO
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Company data provided by crunchbase