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Medpace

Global CRO delivering full-service clinical trials

Junior Business Intelligence Engineer Intern

Data EngineeringConfirmed live in the last 24 hours
InternshipCincinnati, OH, USANo salary listed

About the Job

Requirements

  • The candidate must be pursuing a Bachelor's or Master's degree in Computer Science, Data Engineering, Software Engineering, Information Systems, Business Analytics, or a related degree.
  • The candidate must be proficient in Python and SQL and have a solid foundation in data structures, debugging, modular design, and maintainable code.
  • The candidate must understand relational databases, data warehousing, data modeling, ETL/ELT patterns, and data quality concepts.
  • The candidate must be familiar with Git, automated testing, CI/CD, and software development lifecycle practices, or be strongly willing to learn them.
  • The candidate must be able to work office-based in Cincinnati, Ohio.

Responsibilities

  • Design, build, test, and maintain scalable batch and event-driven data pipelines using Python, SQL, and modern orchestration patterns.
  • Ingest and integrate data from enterprise applications, databases, files, APIs, and cloud platforms into standardized data layers.
  • Develop reusable, well-documented data products and dimensional or analytical models that support reporting, analytics, applications, and AI use cases.
  • Help migrate legacy and duplicative data assets toward a governed single source of truth with consistent definitions, ownership, and business rules.
  • Implement automated data quality checks, reconciliation controls, schema validation, lineage, logging, alerting, and performance monitoring.
  • Partner with business and technical stakeholders to document source-to-target mappings, translate requirements into data contracts, and define acceptance criteria.
  • Optimize pipeline performance, reliability, and cost while supporting secure access, privacy, and appropriate data governance.
  • Write clean, tested, documented code; participate in peer reviews; and contribute to Git-based development, CI/CD, and release practices.
  • Investigate pipeline failures and data discrepancies, perform root-cause analysis, and implement durable corrective actions.
  • Use modern engineering tools, including AI-assisted development tools where appropriate, to accelerate delivery while maintaining quality, security, and human review.

Desired Qualifications

  • Experience with cloud data platforms and services, especially Microsoft Azure and/or Snowflake, including object storage, managed databases, compute, and role-based access.
  • Exposure to data engineering and orchestration tools such as Azure Data Factory, Fabric, Databricks, dbt, Airflow, or comparable technologies.
  • Familiarity with dimensional modeling, metadata, data catalogs, lineage, data contracts, observability, or master/reference data management.
  • Experience with APIs, containerization, Infrastructure as Code such as Bicep, ARM, or Terraform, and deploying data workloads in cloud environments.

About the Company

Medpace

Global CRO delivering full-service clinical trials

Medpace is a global Contract Research Organization that provides end-to-end clinical development services for pharmaceutical, biotechnology, and medical device companies. It manages Phase I–IV trials from study design and regulatory submissions to monitoring, data management, biostatistics, and final reporting, using a single integrated team. A key differentiator is its ownership of integrated laboratories—global central labs, a bioanalytical lab, and imaging/ECG core labs—ensuring streamlined workflows and consistent data. Its physician-led, scientifically driven approach and single-vendor model aim to reduce sponsor oversight and help bring therapies to market efficiently, with operations in over 40 countries.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Cincinnati, OH
Founded
1992

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