
Software Engineer
Selector Software1 month ago
Santa Clara, CA, USAEntry Level / Mid Level
Base Salary
$120k - $140k/yr
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 integrations connecting the platform to customer data sources, APIs, and existing tooling.
- Work directly with customers to understand data structures, workflows, and analytics requirements and translate them into technical solutions.
- Support hands-on customer integration and deployment alongside senior engineers.
- Enable customer use and basic self-service extensions of the platform.
- Document customer feedback and translate it into product and engineering improvement proposals.
- Contribute to testing, automation, quality processes, and evaluation of system output correctness.
Requirements
- 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 Python coding skills, including experience with ETL pipelines and complex data structures.
- Basic familiarity with public cloud platforms such as AWS, GCP, or Azure.
- Exposure to containerization technologies such as Docker and Kubernetes.
- Working understanding of SQL for data extraction and analysis.
- Strong verbal and written communication skills and interest in customer-facing work.
- General awareness of networking concepts including data centers, WAN, DNS, and DHCP.
- Interest in or exposure to agentic AI workflows is preferred.
- Exposure to Ansible, Go, and Jupyter notebooks is a plus.
- Ability to learn quickly, work collaboratively, and balance quality, speed, and pragmatism.
Benefits
- Discretionary paid time off.
- Health insurance.
- 401(k).
- Bonus potential.
- The listed salary is $120,000–$140,000, with final offers varying by experience and job location.
Tech Stack
Categories
BackendData Engineering