Python Developer - Entry-Experienced

Medpace, Inc.•Cincinnati, OH

2d•Hybrid

About The Position

The Medpace Analytics and Business Intelligence team is growing rapidly and is focused on building a data-driven culture across the enterprise. We build software that turns data into durable, reusable products—APIs, internal web apps, automated ingestion pipelines, and analytics services—that help teams make faster, better decisions. As a Business Intelligence Analyst, you will hold a highly visible role that blends engineering and analytics and requires interaction and partnership with leadership across the Medpace organization. What’s in this for you? Work in a collaborative, fast paced, entrepreneurial, and innovative workplace. Build real software products (APIs, internal tools, and data services) used by leaders and teams across the enterprise. Develop your engineering craft in Python – designing, testing, and shipping maintainable code (not just one-off scripts or Jupyter notebooks). Gain business context by partnering with leadership across Medpace and translating needs into scalable technical solutions.

Requirements

Bachelor's Degree in Computer Science, Engineering, Business Analytics, or related degree.
Proficiency in Python with a solid programming foundation (data structures, debugging, and writing maintainable code).
Experience working with SQL and relational data concepts; familiarity with data quality and validation is a plus.
Familiarity with enterprise development practices such as Git, testing, and CI/CD (or a strong willingness to learn).
Strong analytical and problem-solving skills with clear written and verbal communication.

Nice To Haves

Experience developing AI-enabled Python applications (e.g., connecting to LLM APIs, building agentic workflows, working with MCP servers, and familiarity with common libraries such as LangChain or Transformers; basic ML experience welcomed).
Experience with cloud technologies, especially Microsoft Azure (e.g., deploying services, working with cloud storage/managed data services, and Infrastructure as Code (IaC) such as Bicep/ARM or Terraform).

Responsibilities

Design, build, and maintain Python services to deliver solutions (e.g., APIs, internal web apps, and automation tools).
Develop data ingestion and transformation workflows that are reliable, observable, and repeatable (batch and/or event-driven).
Work with SQL and enterprise data sources to model, validate, and serve data for downstream users and systems.
Collaborate with cross-functional teams to translate business needs into technical requirements, estimates, and deliverables.
Write clean, tested, documented code; participate in code reviews; and follow software engineering best practices.
Build AI-enabled solutions by integrating with LLMs and related components (e.g., tool/function calling, agents, MCP servers) and applying basic ML concepts when needed.
Use modern tools (including large language models where appropriate i.e. GitHub Copilot, Claude Code, Microsoft Copilot) to accelerate delivery while maintaining quality and security.