Senior Data Engineer - Snowflake & AWS (Remote)

Quantiphi; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

Quantiphi in the USA remote is seeking a Senior Data Engineer with 8+ years of experience to design, build, and optimize data infrastructure for ABF investment and portfolio analytics. This role leads modern data platform initiatives with Snowflake, Dagster workflows, and AWS services.

You will develop cloud-native pipelines, validate data, and support legacy-system migrations while collaborating across cross-functional teams to ensure high-quality analytics outcomes.

Qualifications

• 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 contexts.

Responsibilities

• Design, build, and maintain cloud-native data pipelines and datalake architectures (Snowflake) to support ABF investment and portfolio analytics.
• Develop and manage scalable ETL/ELT workflows to ingest, transform, and curate data from structured and unstructured sources.
• Support analytics and reporting use cases, including data reconciliation, validation, and financial data integrity checks.
• Support the migration from legacy systems to a modern data platform, including data mapping, transformation logic, and architecture alignment.
• Contribute to light project management activities, including breaking down work into Epics/User Stories (Jira) and coordinating timelines across teams.

Skills

Data engineering

Data modeling

Python

SQL

ETL/ELT design

Jira

Tools

Snowflake

Dagster

AWS

S3

Glue

Lambda

Redshift

Job description

Quantiphi in the USA remote is seeking a Senior Data Engineer with 8+ years of experience to design, build, and optimize data infrastructure for ABF investment and portfolio analytics. This role leads modern data platform initiatives with Snowflake, Dagster workflows, and AWS services.

You will develop cloud-native pipelines, validate data, and support legacy-system migrations while collaborating across cross-functional teams to ensure high-quality analytics outcomes.