Support delivery of small, well-scoped modernization initiatives involving agentic AI workflows and a modern data platform
Build and maintain simple data pipelines (ingest, transform, validate) using SQL and Python
Assist with prototyping agentic AI use cases (task automation, knowledge retrieval, workflow orchestration) with a focus on safe, testable implementations
Create reusable components (notebooks/scripts) following team standards for naming, structure, and configuration
Implement basic evaluation and testing: unit tests (where applicable), data validation checks, and repeatable run instructions
Practice solid dev hygiene: Git, clear pull requests, requesting code reviews, and issue tracking updates
Produce clear documentation for everything delivered (“what it does,” “how to run it,” “how to troubleshoot it,” known limitations)
Monitor/report on job runs or prototype performance using simple dashboards/logs, flag failures fast with actionable detail
Collaborate asynchronously: daily written updates, ask clarifying questions early, propose next steps when blocked
Follow security/compliance expectations (handle data appropriately, don’t embed secrets, use approved tools/environments)
Take ownership of a defined backlog and deliver incremental results weekly with demos/walkthroughs

Requirements

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLC/C++C#data pipelinesunit testingdata validationtask automationknowledge retrievalworkflow orchestration

Soft Skills

collaborationcommunicationproblem-solvingdocumentationownershipattention to detailproactiveadaptabilitytime managementcritical thinking