Senior Data Engineer

Our corporate activities are growing rapidly, and we are currently seeking a full-time, office-based Senior Data Engineer to join our Information Technology team. This position will build the data platform and pipelines that power the company’s expanding use from analytics and reporting to AI agents embedded in our business processes. If you want an exciting career where you use your previous expertise and can develop and grow your career even further, then this is the opportunity for you.

Responsibilities

• Utilize skills in data, AI, and development areas including data warehousing, business intelligence, databases, AI agents (Snowflake, SQL Server, Azure, Python);
• Build and maintain data pipelines using Extract, Load, and Transform (ELT) tools (dbt, Python, Snowflake, Azure Data Factory);
• Design and deploy AI-enabled solutions, including AI agents, LLM integrations, and the data foundations that support them;
• Collect, analyze, and document user requirements;
• Mentor team members and lead design and code reviews to raise data engineering standards;
• Create and enhance best practices for data across the enterprise;
• Architect solutions by following the lifecycle process, which includes requirements gathering, design, development, testing, release, and maintenance;
• Monitor and optimize pipelines for reliability, data quality, performance, and cost;
• Participate in the software validation process through development, review, and/or execution of test plan/cases/scripts;
• Use AI coding assistants and agentic development tools as part of daily engineering work;
• Communicate with team members regarding projects, development, tools, and procedures; and
• Provide end-user support including setup, installation, and maintenance for applications released.

Qualifications

• Bachelor’s degree in computer science, data science, or a related field;
• 5+ years of experience in data engineering or a related field;
• Knowledge of developing dimensional data models and awareness of the advantages and limitations of star schema and snowflake schema designs;
• Solid ETL/ELT development, reporting knowledge based on intricate understanding of business processes and measures;
• Experience with Snowflake cloud data warehouse and dbt transformations is preferred;
• Working proficiency in Python;
• Experience with version control (Git) and CI/CD;
• Experience consuming REST APIs;
• Experience building with AI — LLM APIs, agent frameworks, or AI-assisted development tools — is preferred;
• Knowledge of C# and Microsoft Fabric is a bonus; and
• Excellent analytical, written, and oral communication skills.

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.

• Bachelor’s degree in computer science, data science, or a related field;
• 5+ years of experience in data engineering or a related field;
• Knowledge of developing dimensional data models and awareness of the advantages and limitations of star schema and snowflake schema designs;
• Solid ETL/ELT development, reporting knowledge based on intricate understanding of business processes and measures;
• Experience with Snowflake cloud data warehouse and dbt transformations is preferred;
• Working proficiency in Python;
• Experience with version control (Git) and CI/CD;
• Experience consuming REST APIs;
• Experience building with AI — LLM APIs, agent frameworks, or AI-assisted development tools — is preferred;
• Knowledge of C# and Microsoft Fabric is a bonus; and
• Excellent analytical, written, and oral communication skills.
• Utilize skills in data, AI, and development areas including data warehousing, business intelligence, databases, AI agents (Snowflake, SQL Server, Azure, Python);
• Build and maintain data pipelines using Extract, Load, and Transform (ELT) tools (dbt, Python, Snowflake, Azure Data Factory);
• Design and deploy AI-enabled solutions, including AI agents, LLM integrations, and the data foundations that support them;
• Collect, analyze, and document user requirements;
• Mentor team members and lead design and code reviews to raise data engineering standards;
• Create and enhance best practices for data across the enterprise;
• Architect solutions by following the lifecycle process, which includes requirements gathering, design, development, testing, release, and maintenance;
• Monitor and optimize pipelines for reliability, data quality, performance, and cost;
• Participate in the software validation process through development, review, and/or execution of test plan/cases/scripts;
• Use AI coding assistants and agentic development tools as part of daily engineering work;
• Communicate with team members regarding projects, development, tools, and procedures; and
• Provide end-user support including setup, installation, and maintenance for applications released.