Junior Business Intelligence Engineer

About the Role

The Medpace Analytics and Business Intelligence team is growing and focused on creating a trusted, data-driven foundation across the enterprise. We build scalable solutions leveraging data pipelines and reusable data products. This role focuses on modernizing data flows, improving data quality and reliability, and migrating fragmented data assets toward a governed single source of truth.

Key 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 supporting 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.

Requirements & Tech Stack

• 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.

Qualifications

• Pursuing a Bachelor's or Master's Degree in Computer Science, Data Engineering, Software Engineering, Information Systems, Business Analytics, or a related degree.
• Ability to work office-based in Cincinnati, OH.

Preferred 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.