Senior Data Infrastructure Engineer

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

Overview

United States (Remote)

Salary – $140,000 – $180,000 + Equity + 401K + PTO + Healthcare Insurance

Are you a Senior Data Engineer with experience designing and building reliable data platforms, looking to join a high-growth AI start-up operating in the E-commerce and retail space?

This is a fantastic opportunity to showcase your technical skillset and take ownership of a data infrastructure that powers large-scale product catalogs, analytics, and AI-driven insights for enterprise customers.

As a Senior Data Infrastructure Engineer, you will design, build, and scale data pipelines and warehouse systems that ingest, transform, and serve critical business data. You will work closely with product, analytics, and customer-facing teams to ensure data is reliable, scalable, and production-ready.

This is an excellent opportunity to join an innovative AI company that is productizing its data capabilities and investing heavily in long-term platform scalability.

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

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