Job Description
Our corporate activities are growing rapidly, and we are currently seeking a full-time, office-based Data Engineer to join our AI team. This position will work on a team to accomplish tasks and projects that are instrumental to the company's success. 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 handling of more unconventional data such as unstructured content from web-based sites and varying content (documents, images etc) into different data lakes and with different software solutions (Snowflake, Azure, SQL, Python); Provide the handling of (and where needed training of) Large Language Models (LLMs) in the Extract, Transform, and Load (ETL) of large corpus of data into a data lake; Participate in the Natural Language Processing (NLP) extract of unstructured data into structured meta-data through the use of tools such as Semantic understanding and meaning (Python, use of
REST API
); Support ensuring the data flow of any external content coming in is handled to the latest US and EU AI Acts concerning AI which includes security, confidentiality and privacy of PHI; Collect, analyze and document user requirements working with AI engineers to align data sources to downstream integration within systems; Create software applications that support the understanding and visualization of data flows from inception to derivation whilst maintaining version control by following software development lifecycle process, which includes requirements gathering, design, development, testing, release, and maintenance; Participate in software validation process through development, review, and/or execution of test plan/cases/scripts; Communicate with team members regarding projects, development, tools, and procedures; and Provide end-user support including setup, installation, and maintenance for application Qualifications Bachelor's Degree in Computer Science, Data Science, or a related field; 1-3+ years of experience in Data Engineering; Background in working with AI tools that support areas such as data extraction and natural language processing and handling of varied unstructured content into structured meta-data; Knowledge of developing dimensional data models from unstructured content and awareness of the advantages and limitations of Star Schema and Snowflake schema designs; Solid ETL development, reporting knowledge based off intricate understanding of business process and measures; Knowledge of Snowflake cloud data warehouse and Azure cloud is preferred; Knowledge of REST API
; Good knowledge of SQL Server databases and Python programming language is required; Knowledge of C# is a bonus as is working with Azure data fabric; and Excellent analytical, written and oral communication skills Medpace Overview Medpace is a full-service clinical contract research organization (CRO). We provide Phase I-IV 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 its scientific and disciplined approach. We leverage local regulatory and therapeutic expertise across all major areas including oncology, cardiology, metabolic disease, endocrinology, central nervous system, anti-viral and anti-infective. Headquartered in Cincinnati, Ohio, employing more than 6,000 people across 40+ countries. Why Medpace? People. Purpose. Passion. Make a Difference Tomorrow. Join Us Today. The work we've done over the past 30+ years has positively impacted the lives of countless patients and families who face hundreds of diseases across all key therapeutic areas. The work we do today will improve the lives of people living with illness and disease in the future. Medpace Perks Flexible work environment Competitive compensation and benefits package Competitive PTO packages Structured career paths with opportunities for professional growth Company-sponsored employee appreciation events Employee health and wellness initiatives Awards Recognized by Forbes as one of America's Most Successful Midsize Companies in 2021, 2022, 2023 and 2024 Continually recognized with CRO Leadership Awards from Life Science Leader magazine based on expertise, quality, capabilities, reliability, and compatibility What to Expect Next A Medpace team member will review your qualifications and, if interested, you will be contacted with details for next steps. Qualifications:
Bachelor's Degree in Computer Science, Data Science, or a related field; 1-3+ years of experience in Data Engineering; Background in working with AI tools that support areas such as data extraction and natural language processing and handling of varied unstructured content into structured meta-data; Knowledge of developing dimensional data models from unstructured content and awareness of the advantages and limitations of Star Schema and Snowflake schema designs; Solid ETL development, reporting knowledge based off intricate understanding of business process and measures; Knowledge of Snowflake cloud data warehouse and Azure cloud is preferred; Knowledge of REST API
; Good knowledge of SQL Server databases and Python programming language is required; Knowledge of C# is a bonus as is working with Azure data fabric; and Excellent analytical, written and oral communication skills
