Summary
A software engineering role focused on building reliable data integrations and backend solutions. The position involves designing, implementing, testing, and improving systems while collaborating on AI-enhanced engineering processes.
Highlights
Opportunity to own software projects end-to-end, work with modern engineering practices, build data systems, and contribute to AI-assisted development workflows.
Description
The Integrations Team is responsible for building the ETL pipelines, and data integrations which power Parsec’s analysis tools.
This process includes innovative techniques for pulling, formatting, structuring, and testing data for integrity.
We are looking for candidates with a proven track record of delivering software solutions that solve critical business needs.
The candidate should be able to refine ambiguous problem spaces into concrete technical requirements and solutions.
They should be able to take ownership of a project or feature and drive it from design to implementation.
Responsibilities:
Take ownership of well-scoped projects end-to-end, directing agentic pipelines through technical design, implementation, testing, and deployment.Apply authoritative technical judgment to approve or reject agent-generated output.Relay structured feedback on agent performance and failure modes to Level III software engineers via a defined channel, so issues in agentic development are resolved at the source.Ensure source code written in Go, Python, or TypeScript is correct, secure, and adheres to team standards.Contribute to technical design discussions, using all available tools to explore trade-offs, draft documentation, and pressure-test approaches.Ensure final decisions and submitted code reflect your own reasoned analysis.Build, maintain, and debug ETL pipelines and data integrations, applying AI-assisted debugging and log analysis to identify root causes faster, and validating fixes with appropriate test coverage.Proactively identify risks, ambiguities, and systematic errors in agent output within your project scope.
Surface them early and propose fixes, both to the immediate problem and to the agent's approach.Train and lead Level I software engineers in effective validation techniques for agentic output (what to check, common failure patterns, when to escalate).
Experience:
2–4 years of professional software engineering experience, with at least one example of owning a feature or project from design through production deployment.Working proficiency in one or more of Go, Python, or TypeScript, with demonstrated ability to learn additional languages or frameworks as needed.Familiarity with cloud infrastructure concepts (preferably GCP) and comfort operating in containerized environments.Experience writing and debugging data pipelines or API integrations, with an understanding of data quality and failure modes.Ability to read and navigate an unfamiliar codebase, make targeted changes confidently, and write tests that cover meaningful cases.Clear written and verbal communication skills.Ability to document your own work, ask precise questions, and flag blockers without prompting.Experience working in K–12 education or a mission-driven organization is preferred but not required.
Requirements:
Experience working in software development.Strong communication skills and the ability to effectively collaborate with team members.Understanding and strong ability to utilize AI workflows.
Benefits:
Great medical, dental, and vision insurance optionsIn addition to 14 observed holidays, team members have unlimited paid time off401(k) plan with employer matchEmployer Paid Life InsuranceCompetitive Bonus StructureAwesome Collaborative Office Space located in Downtown Fresno
