Analyst, Data & Software Engineer

About the Role

We are seeking an Analyst, Data & Software Engineering to join our Client Delivery team within the Enterprise Client organization. This team is the operational front door for the EMRge product suite. In this role, you'll execute assigned data and software engineering work within a clearly scoped project, under the guidance of senior engineers. You will help diagnose and resolve client-impacting issues, support client onboarding, and contribute to the ongoing operational health of client solutions built on EMRge. You'll work with senior engineers and Product Managers to translate business needs into technical execution and build strong engineering fundamentals, including version control, testing, and documentation, while also learning to use AI-assisted development tools.

Key Responsibilities

• Execute assigned data engineering and software development tasks within a defined project scope and timeline.
• Support first-line triage, diagnosis, and resolution of client-impacting technical issues.
• Assist with client onboarding and offboarding execution using established EMRge patterns and tooling.
• Contribute to recurring client maintenance work, including monitoring, break-fix support, and operational upkeep.
• Document your work, outputs, and any technical debt created.
• Write tests and follow existing documentation and code-quality standards.
• Communicate blockers, risks, and progress proactively.
• Participate in scoping and requirements discussions.
• Use AI-assisted development tools (e.g., GitHub Copilot, Cursor) to support your workflow.
• Collaborate with cross-functional partners (Data Science, Measurement, Product).

Requirements & Tech Stack

• Python
• SQL
• Version control systems (e.g., GitHub)
• AI-assisted development tools (e.g., GitHub Copilot, Cursor)

Qualifications

• 0–1 years of experience creating software or working with data pipelines (internships, coursework, or professional experience count).
• Familiarity with version control systems (e.g., GitHub).
• Strong written and oral communication skills.
• Self-motivated, detail-oriented, and comfortable asking questions to clarify ambiguity.
• Ability to work in a fast-paced, client-driven environment.
• Strong problem-solving and analytical skills.

Preferred Qualifications:

• Exposure to cloud platforms (GCP or AWS) or cloud data warehouses.
• Coursework or project experience with ETL/data pipeline concepts.
• Familiarity with AI-assisted development tools (Copilot, Cursor, ChatGPT/Claude for coding, or similar).
• Interest in or exposure to marketing, media, or advertising.
• Experience working on a team using Agile or iterative development practices.