Senior Data Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

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Logo of Quantiphi

Quantiphi

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 ABF investment and portfolio analytics • Develop and manage scalable, automated ETL/ELT workflows to ingest, transform, and curate structured and unstructured data • Support end-to-end migration from legacy systems to a modern data platform • Develop complex data mapping and transformation logic and align data architecture • Implement data cleaning, de-duplication, reconciliation, validation, and financial data integrity checks • Translate high-level business requirements into Epics and User Stories in Jira • Support project planning, timeline estimation, risk mitigation, and cross-functional coordination • Assist with integration testing, cutover planning, and go-live readiness • Partner with business, finance, and operations teams to align stakeholders and support operational adoption

🎯 Requirements

• 5+ years of expert-level SQL experience, including complex queries, CTEs, advanced window functions, conditional logic, complex joins, and performance optimization • 5+ years of professional Python development experience processing complex datasets efficiently and automating workflows using Pandas, Polars, or equivalent data libraries • Hands-on experience designing and optimizing cloud-native data warehouses/data lakes, specifically Snowflake • Proven experience building, maintaining, and optimizing scalable ETL/ELT workflows and data pipelines • Specialized experience in Asset-Based Finance (ABF) and mortgage servicing, including settlements, remittances, cash consolidation, and servicing workflows • Demonstrated success managing full lifecycle project delivery from design and build through testing and deployment • Exceptional communication and change management skills, with experience bridging technical teams and business leadership

🏖️ 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 • Opportunities to learn, grow and interact with colleagues from varied experience and backgrounds around the globe • Energetic team of highly dynamic and talented individuals • Fun, diverse and hybrid work culture

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