Senior Data Infrastructure Engineer (Remote) – Equity

Rise Technical; United States; Remote; USD 140,000 - 180,000; Full time

Benefits offered by this job

Equity

401K

PTO

Healthcare Insurance

Job summary

A high-growth AI start-up is seeking a Senior Data Engineer to design and build reliable data pipelines and warehousing systems. This remote role involves optimizing SQL queries and building systems integrating various data sources. Candidates should have experience with Python, SQL, and cloud platforms like GCP. An exciting opportunity to shape the data infrastructure for enterprise-level analytics and insights in the E-commerce and retail space.

Qualifications

• Strong experience with Python and SQL in production data environments.
• Experience with cloud data platforms such as GCP, BigQuery, or similar.
• Background building and maintaining ETL pipelines and data warehouses.
• Comfortable working with messy, real-world external data sources.

Responsibilities

• Design and build scalable data pipelines and ETL workflows.
• Own and evolve data warehouse architecture for reporting and analytics.
• Optimize SQL queries and database performance at scale.
• Build ingestion and export systems integrating APIs, SFTP, and cloud storage.
• Collaborate with product and AI teams to support analytics and insight generation.

Skills

Python

SQL

GCP

ETL pipelines

Job description

A high-growth AI start-up is seeking a Senior Data Engineer to design and build reliable data pipelines and warehousing systems. This remote role involves optimizing SQL queries and building systems integrating various data sources. Candidates should have experience with Python, SQL, and cloud platforms like GCP. An exciting opportunity to shape the data infrastructure for enterprise-level analytics and insights in the E-commerce and retail space.