Staff Data Platform Engineer — AWS + Snowflake Lead

Capitolis; New York (NY); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Generous health plans

Flexible working arrangements

Retirement savings plans

Job summary

Capitolis is seeking a Staff Data Engineer to architect and build an enterprise data platform integrating AWS and Snowflake technologies. The ideal candidate will have over 8 years in data engineering, with a deep understanding of AWS data services and strong Python and SQL skills. Responsibilities include building the data lake, creating data ingestion pipelines, and enabling AI-driven insights. Generous health plans, flexible working arrangements, and a commitment to an inclusive workplace are offered.

Qualifications

• 8+ years in data engineering with 5+ years building data platforms.
• Deep expertise with AWS data services like S3, Glue, Lake Formation.
• Strong Python and SQL skills focused on data processing and optimization.

Responsibilities

• Build and implement data lake on AWS with Snowflake as analytics layer.
• Create robust pipelines for data ingestion from diverse sources.
• Build APIs for AI agents to query and analyze data securely.

Skills

Data engineering

AWS data services

Python

SQL

Real-time data pipelines

Tools

Snowflake

Terraform

Kafka

Kinesis

Job description

Capitolis is seeking a Staff Data Engineer to architect and build an enterprise data platform integrating AWS and Snowflake technologies. The ideal candidate will have over 8 years in data engineering, with a deep understanding of AWS data services and strong Python and SQL skills. Responsibilities include building the data lake, creating data ingestion pipelines, and enabling AI-driven insights. Generous health plans, flexible working arrangements, and a commitment to an inclusive workplace are offered.