Senior Data Engineer

🕒 October 16

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 11%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Quantiphi

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 Series A on 2019-12

Consulting • Healthcare • Logistics

Quantiphi is a leading AI-first digital engineering company that leverages a decade of industry expertise to empower businesses through scalable, secure, and adaptable AI solutions. By integrating cutting-edge technology with real-world applications, Quantiphi transforms organizations across various sectors including healthcare, finance, education, and retail. Their services span AI applications, data analytics, cloud infrastructure modernization, and custom AI implementations. Quantiphi partners with technology giants like AWS, Google Cloud, NVIDIA, and others to drive AI adoption and deliver transformational opportunities for enterprises.

📋 Description

• Design, build, and maintain cloud-native data pipelines and data lake architectures in Snowflake for Asset-Backed Finance investment and portfolio analytics • Develop and manage scalable ETL/ELT workflows to ingest, transform, and curate structured and unstructured data • Support analytics and reporting use cases, including data reconciliation, validation, and financial data integrity checks • Support migration from legacy systems to a modern data platform through data mapping, transformation logic, and architecture alignment • Break down work into Epics/User Stories in Jira • Support project planning, timelines, and cross-team coordination • Assist with testing, cutover planning, and go-live readiness

🎯 Requirements

• 8+ years of progressive experience in data engineering, data platform development, or enterprise analytics • Proven track record building enterprise data models and warehouse architectures within financial services, investment management, or ABF/portfolio analytics domain contexts • Advanced proficiency in Snowflake, including SQL performance tuning, architecture, security, and schema design • Hands-on expertise using Dagster for workflow orchestration, dependency management, and monitoring • Deep familiarity with core AWS services, including S3, Glue, Lambda, IAM, ECS, EMR, or Redshift • Expert-level mastery of Python and advanced SQL for complex data transformation and ELT design • Proficiency with Jira for backlog management and Agile sprint planning

🏖️ Benefits

• Exposure to working with Fortune 500 companies and innovative market disruptors • Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud • Energetic team of highly dynamic and talented individuals • Opportunity to be part of an AI-first digital transformation and engineering company

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