Junior Business Intelligence Engineer

Medpace, Inc. • Cincinnati, OH

41d • Onsite

About The Position

The Medpace Analytics and Business Intelligence team is growing rapidly and is focused on creating a trusted, data-driven foundation across the enterprise. We build scalable solutions leveraging data pipelines and reusable data products that ingest, transform, standardize, and serve data from operational systems for analytics, applications, and decision-making. As a Business Intelligence Intern, you will hold a highly visible role focused on modernizing data flows, improving data quality and reliability, and helping migrate fragmented data assets toward a governed single source of truth in partnership with leaders and technical teams across Medpace.

What’s in this for you?
Work in a collaborative, fast paced, entrepreneurial, and innovative workplace.
Build production-grade data pipelines and trusted data products used by analysts, applications, leaders, and teams across the enterprise.
Develop your craft in Python and SQL by designing, testing, deploying, and monitoring maintainable workflows—not just one-off scripts or notebooks.
Gain business and data domain context by partnering across Medpace to consolidate fragmented sources into scalable, governed, and reusable data solutions.

Requirements

• Pursuing a Bachelor's or Master's Degree in Computer Science, Data Engineering, Software Engineering, Information Systems, Business Analytics, or a related degree.
• Proficiency in Python and SQL, with a solid foundation in data structures, debugging, modular design, and maintainable code.
• Understanding of relational databases, data warehousing, data modeling, ETL/ELT patterns, and data quality concepts.
• Familiarity with Git, automated testing, CI/CD, and software development lifecycle practices, or a strong willingness to learn.
• Strong analytical and problem-solving skills, attention to detail, and clear written and verbal communication.
• Ability to work office-based in Cincinnati, OH.

Nice To Haves

• 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.

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.

Benefits

• Competitive compensation programs that recognize and reward performance
• Comprehensive health, wellness, retirement, and PTO benefits
• Office based culture with occasional WFH that provides flexibility for eligible positions after training
• Company-sponsored social events and intramural sports

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Associate degree