Data Engineer - Senior - USA

Quantiphi

8d • Remote

About The Position

Quantiphi is seeking an experienced Senior Data Engineer to design, build, and optimize high-performance data infrastructure supporting Asset-Backed Finance (ABF) investment and portfolio analytics. The role will lead modern data platform initiatives, build ETL/ELT architecture in Snowflake, orchestrate workflows with Dagster, and use AWS cloud services. It will also support migration from legacy systems and provide light project management oversight to enable cross-functional execution.

The position is remote in the USA and requires 8+ years of experience. It is full-time. The work includes building cloud-native data pipelines and data lake architectures, developing workflows for structured and unstructured data, supporting analytics and reporting, and helping plan and execute migration and go-live activities.

Requirements

• At least 8 years of progressive experience in data engineering, data platform development, or enterprise analytics.
• Proven experience building enterprise data models and warehouse architectures in financial services, investment management, or ABF/portfolio analytics contexts.
• Advanced proficiency in Snowflake, including SQL performance tuning, architecture, security, and schema design.
• Hands-on expertise with Dagster for workflow orchestration, dependency management, and monitoring.
• Deep familiarity with core AWS services, such as 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.

Responsibilities

• Design, build, and maintain cloud-native data pipelines and Snowflake data lake architectures for ABF 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, including data mapping, transformation logic, and architecture alignment.
• Break down project work into Epics and User Stories in Jira.
• Support project planning, timelines, and coordination across teams.
• Assist with testing, cutover planning, and go-live readiness.

Benefits

• Opportunity to be part of a fast-growing AI-first digital transformation and engineering company.
• Opportunity to work with an energetic team of dynamic and talented individuals.
• Exposure to Fortune 500 companies and innovative market disruptors.
• Exposure to technologies related to artificial intelligence, machine learning, data, and cloud.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed