Backend Engineer: AI-Driven Data Pipelines & ETL

Selector; San Mateo (CA); On-site; USD 120,000 - 140,000; Full time

Benefits offered by this job

Discretionary PTO

Health insurance

401k

Bonus potential

Job summary

Selector is building an operational intelligence platform for digital infrastructure. This backend-heavy role focuses on solving data and systems problems in production within a customer's environment, not just in a sprint backlog.

You will build and maintain the ETL pipelines, data models, and integrations that power Selector's platform, applying agentic AI workflows to help infrastructure reason about itself at scale.

Qualifications

• Bachelor's degree or higher in Computer Science, Engineering, or a related field.
• 0–3 years of professional experience in a technical or engineering role.
• Solid coding skills in Python, with experience building ETL pipelines and data structures; exposure to Ansible or Go is a plus.
• Familiarity with public cloud platforms such as AWS, GCP, or Azure.
• Exposure to Docker and Kubernetes.
• Working understanding of SQL for data extraction and analysis; familiarity with Jupyter notebooks is a plus.
• Interest in agentic AI workflows and applying them to real-world engineering problems.
• Strong communication skills, customer-facing experience preferred.
• General networking awareness (Data Center, WAN, DNS/DHCP) and a willingness to learn.

Responsibilities

• Design, write, and maintain production grade Python code for ETL pipelines, data models, and platform integrations.
• Apply agentic AI workflows to automate data engineering, correlation, and root cause analysis across complex infrastructure data.
• Build backend logic connecting Selector's platform to customer data sources, APIs, and existing tooling.
• Work directly with customers to understand complex data structures, workflows, and analytics requirements, translating them into technical solutions.
• Support hands on integration and deployment of Selector's platform to meet customer requirements, working alongside senior engineers.
• Help ensure customers are enabled for use and basic self-serve extensions of Selector's capabilities.
• Document customer feedback and translate it into concrete product and engineering improvement proposals.

Skills

Python

ETL pipelines

Data analysis

SQL

Docker

Kubernetes

Ansible

Go

Jupyter

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Docker

Kubernetes

Ansible

Go

AWS

GCP

Azure

Jupyter

Job description

Selector is building an operational intelligence platform for digital infrastructure. This backend-heavy role focuses on solving data and systems problems in production within a customer's environment, not just in a sprint backlog.

You will build and maintain the ETL pipelines, data models, and integrations that power Selector's platform, applying agentic AI workflows to help infrastructure reason about itself at scale.