Senior Backend Engineer | ETL, AI Workflows, Customer Data

Selector AI; Santa Clara (CA); Hybrid; USD 150,000 - 230,000; Full time

Benefits offered by this job

Equity

Healthcare

Unlimited PTO

401K

Life insurance

Hybrid/Remote options

Job summary

Selector AI is seeking an experienced backend engineer to own complex data and systems problems, seeing work run in production inside a customer environment. You will build and maintain ETL pipelines, data models, and platform integrations using Python/Go, applying agentic AI workflows to scale data engineering and root-cause analysis.

You will provide technical leadership, mentor engineers, and collaborate with customers to translate their data structures into real, deployable solutions.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 5+ years of backend/engineer experience owning systems end-to-end.
• Strong coding skills in Python; Go is a plus.
• Experience with ETL pipelines, data structures, and data modeling.
• Experience with AWS, GCP, or Azure and containerization.

Responsibilities

• Build and maintain production-grade Python/Go code for ETL pipelines, data models, and platform integrations.
• Design and implement agentic AI workflows to automate data engineering and root-cause analysis.
• Provide technical leadership on architecture and design decisions, guiding backend systems and integrations.
• Mentor junior and mid-level engineers, reviewing code and raising technical quality.
• Lead integration of Selector’s platform with customer data sources and APIs.
• Lead POC builds and pre-sales activities in collaboration with the sales team.
• Work closely with customers to translate data environments into scalable solutions.

Skills

Backend engineering

ETL pipelines

Python

Go

SQL

Data modeling

Mentor engineers

Customer-facing

Leadership

Communication

Education

Bachelor’s degree in Computer Science or Engineering

Tools

Docker

Kubernetes

Ansible

Jupyter notebooks

Job description

Selector AI is seeking an experienced backend engineer to own complex data and systems problems, seeing work run in production inside a customer environment. You will build and maintain ETL pipelines, data models, and platform integrations using Python/Go, applying agentic AI workflows to scale data engineering and root-cause analysis.

You will provide technical leadership, mentor engineers, and collaborate with customers to translate their data structures into real, deployable solutions.