Medpace
From Medpace's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
Our corporate activities are growing rapidly, and we are currently seeking a full-time, office-based Junior Data Engineer to join our Information Technology team. Working alongside experienced engineers, this position will help build and support the data pipelines and models that power the company's analytics, reporting, and the AI agents being embedded in our business processes. If you want an exciting career where you can develop and grow your career even further, then this is the opportunity for you.
Develop skills in data, AI, and development areas including data warehousing, business intelligence, databases, and AI agents (Snowflake, SQL Server, Azure, Python);
Build and maintain data pipelines under guidance using Extract, Load, and Transform (ELT) tools (dbt, Python, Snowflake, Azure Data Factory);
Assist with AI-enabled solutions, including AI agent and LLM integrations and the data foundations that support them;
Help collect, analyze, and document user requirements;
Participate in design and code reviews and learn to apply enterprise data standards and best practices;
Contribute to solutions by following the lifecycle process, which includes requirements gathering, design, development, testing, release, and maintenance;
Monitor pipelines and help troubleshoot data quality and reliability issues;
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.
Bachelor's degree in computer science, data science, or a related field;
Internship or project experience in data or software engineering;
Familiarity with dimensional data models and an awareness of the advantages and limitations of star schema and snowflake schema designs;
Foundational ETL/ELT and reporting knowledge, with an interest in learning the underlying business processes and measures;
Exposure to Snowflake cloud data warehouse and dbt transformations is preferred;
Working proficiency in SQL; familiarity with Python is preferred;
Familiarity with version control (Git);
Familiarity with REST APIs;
Interest in building with AI — LLM APIs, agent frameworks, or AI-assisted development tools;
Knowledge of C# or Azure development 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.
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.
Develop skills in data, AI, and development areas including data warehousing, business intelligence, databases, and AI agents (Snowflake, SQL Server, Azure, Python);
Build and maintain data pipelines under guidance using Extract, Load, and Transform (ELT) tools (dbt, Python, Snowflake, Azure Data Factory);
Assist with AI-enabled solutions, including AI agent and LLM integrations and the data foundations that support them;
Help collect, analyze, and document user requirements;
Participate in design and code reviews and learn to apply enterprise data standards and best practices;
Contribute to solutions by following the lifecycle process, which includes requirements gathering, design, development, testing, release, and maintenance;
Monitor pipelines and help troubleshoot data quality and reliability issues;
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.
Bachelor's degree in computer science, data science, or a related field;
Internship or project experience in data or software engineering;
Familiarity with dimensional data models and an awareness of the advantages and limitations of star schema and snowflake schema designs;
Foundational ETL/ELT and reporting knowledge, with an interest in learning the underlying business processes and measures;
Exposure to Snowflake cloud data warehouse and dbt transformations is preferred;
Working proficiency in SQL; familiarity with Python is preferred;
Familiarity with version control (Git);
Familiarity with REST APIs;
Interest in building with AI — LLM APIs, agent frameworks, or AI-assisted development tools;
Knowledge of C# or Azure development is a bonus; and
Excellent analytical, written, and oral communication skills.
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