An ideal candidate brings strong programming and data fundamentals and is excited to build reliable, maintainable data systems at scale. You enjoy tracing data from source to consumption, resolving ambiguity in definitions, designing reusable models, and implementing controls that make data accurate, discoverable, secure, and observable. You are eager to learn enterprise practices such as version control, automated testing, orchestration, deployment, lineage, monitoring, and operational ownership. We are looking for team members who are intensely curious, thrive on complex problems, and prefer durable platform solutions over short-term fixes.
What you bring to the table – and why we need you!
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.
Qualifications
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.
Preferred: experience with cloud data platforms and services, especially Microsoft Azure and/or Snowflake, including object storage, managed databases, compute, and role-based access.
Preferred: exposure to data engineering and orchestration tools such as Azure Data Factory, Fabric, Databricks, dbt, Airflow, or comparable technologies.
Preferred: familiarity with dimensional modeling, metadata, data catalogs, lineage, data contracts, observability, or master/reference data management.
Preferred: experience with APIs, containerization, Infrastructure as Code such as Bicep, ARM, or Terraform, and deploying data workloads in cloud environments.
Ability to work office-based in Cincinnati, OH.
Medpace Overview
Medpace is a full-service clinical contract research organization (CRO) providing phase l-lV clinical development services to the biotechnology, pharmaceutical, and medical device industries. Our mission is to accelerate the global development of safe and effective medical therapeutics through the advancement of clinical research. We leverage in-country regulatory and therapeutic expertise across all major therapeutic areas including oncology, cardiology, metabolic, endocrinology, central nervous system, and anti-viral and anti-infective. Headquartered in Cincinnati, Ohio, we employ more than 6,500 people across 40+ countries.
Why Medpace?
When you join Medpace, you become part of an innovative team that brings cutting-edge therapies to market while building a meaningful and rewarding career focused on scientific excellence and improving patient outcomes around the world through continuous learning and cross-functional collaboration.
Purpose-Driven Work
Work alongside physicians, scientists, and industry-leading experts committed to advancing the global development of medical therapeutics through clinical research excellence
Collaborative Culture
Contribute to an interactive team environment that empowers decision making, creative thinking, and continuous learning through open communication and mutual trust.
Leadership throughout Medpace is both accessible and approachable
Continuous Growth & Development
Office based environment with on-site mentors
Defined career paths with clear advancement opportunities
Industry renowned onboarding and training programs designed to accelerate professional development
Ongoing training and continuous learning opportunities throughout your career
An environment that encourages employees to influence change, contribute ideas, and grow quickly
Other Employee 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
Cincinnati Headquarters Experience
A modern corporate campus designed to support collaboration and productivity
Multiple on-site dining options in the heart of Madison Square
Free on-site parking
Convenient access to on-site 24-7 fitness and wellness facilities
What to Expect Next
A Medpace team member will review your application and if your profile matches our current needs, you will be contacted for an interview. While we review all applications carefully, we are unable to respond to every applicant, and only candidates selected for interviews will be contacted.
What’s involved?
We are looking for a full-time Business Intelligence Engineer to add depth to our growing team by designing and building data pipelines, shared data models, and production-ready data products in Python and SQL. This role partners closely with data engineering, analytics, operations, finance, and other technical teams to understand source systems, define trusted business logic, and deliver reliable datasets that can serve as the enterprise system of record for reporting and downstream applications.
An ideal candidate brings strong programming and data fundamentals and is excited to build reliable, maintainable data systems at scale. You enjoy tracing data from source to consumption, resolving ambiguity in definitions, designing reusable models, and implementing controls that make data accurate, discoverable, secure, and observable. You are eager to learn enterprise practices such as version control, automated testing, orchestration, deployment, lineage, monitoring, and operational ownership. We are looking for team members who are intensely curious, thrive on complex problems, and prefer durable platform solutions over short-term fixes.
What you bring to the table – and why we need you!
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.
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.
Preferred: experience with cloud data platforms and services, especially Microsoft Azure and/or Snowflake, including object storage, managed databases, compute, and role-based access.
Preferred: exposure to data engineering and orchestration tools such as Azure Data Factory, Fabric, Databricks, dbt, Airflow, or comparable technologies.
Preferred: familiarity with dimensional modeling, metadata, data catalogs, lineage, data contracts, observability, or master/reference data management.
Preferred: experience with APIs, containerization, Infrastructure as Code such as Bicep, ARM, or Terraform, and deploying data workloads in cloud environments.
Ability to work office-based in Cincinnati, OH.
