Data Engineer

Talentify; Cincinnati (OH); On-site; USD 110,000 - 140,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive health and retirement

PTO

On-site office culture with some WFH

Job summary

Medpace, based in Cincinnati, is hiring a Data Engineer to build and support data pipelines powering analytics and AI agents embedded in business processes. You will work on ELT pipelines, AI-enabled solutions, and maintain data foundations across Snowflake, SQL Server, and Azure.

Qualified candidates have a 3+ year data engineering background, strong SQL/Python skills, and experience with Snowflake and dbt. This is an office-based role in Ohio with opportunities for growth and collaboration.

Qualifications

• 3+ years of experience in data engineering or a related field.
• Knowledge of dimensional data models and star/snowflake schemas.
• Solid ETL/ELT development and reporting knowledge.
• Experience with Snowflake and dbt transformations preferred.
• Proficiency in SQL and Python; Git and CI/CD familiarity.
• REST API experience; AI-enabled development exposure a plus.

Responsibilities

• Build and maintain data pipelines using ELT tools (dbt, Python, Snowflake, Azure Data Factory).
• Develop AI-enabled solutions and integrate LLMs and AI agents where applicable.
• Analyze user requirements and participate in design reviews.
• Follow lifecycle processes from requirements to maintenance.
• Ensure data quality, reliability, and performance of pipelines.
• Support validation, testing, and end-user setup for released apps.

Skills

Snowflake

dbt

Python

SQL

Git

REST APIs

Azure Data Factory

C#

Microsoft Fabric

Education

Bachelor's degree in computer science, data science, or a related field

Tools

Snowflake

dbt transformations

Azure Data Factory

Job description

Our corporate activities are growing rapidly, and we are currently seeking a full-time, office-based Data Engineer to join our Information Technology team. This position will 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 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, and 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);
• Develop and support AI-enabled solutions, including AI agent and LLM integrations and the data foundations behind them;
• Collect, analyze, and document user requirements;
• Participate in design and code reviews and apply enterprise data standards and best practices;
• Develop solutions by following the lifecycle process, which includes requirements gathering, design, development, testing, release, and maintenance;
• Monitor and troubleshoot pipelines for reliability, data quality, and performance;
• 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;
• 3+ 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 and reporting knowledge based on an understanding of business processes and measures;
• Experience with Snowflake cloud data warehouse and dbt transformations is preferred;
• Working proficiency in SQL and Python;
• Experience with version control (Git) and familiarity with CI/CD;
• Experience consuming REST APIs;
• Exposure to 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.

Qualifications (Repetition)

• Bachelor's degree in computer science, data science, or a related field;
• 3+ 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 and reporting knowledge based on an understanding of business processes and measures;
• Experience with Snowflake cloud data warehouse and dbt transformations is preferred;
• Working proficiency in SQL and Python;
• Experience with version control (Git) and familiarity with CI/CD;
• Experience consuming REST APIs;
• Exposure to 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.

Responsibilities (Repetition)

• Utilize 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 using Extract, Load, and Transform (ELT) tools (dbt, Python, Snowflake, Azure Data Factory);
• Develop and support AI-enabled solutions, including AI agent and LLM integrations and the data foundations behind them;
• Collect, analyze, and document user requirements;
• Participate in design and code reviews and apply enterprise data standards and best practices;
• Develop solutions by following the lifecycle process, which includes requirements gathering, design, development, testing, release, and maintenance;
• Monitor and troubleshoot pipelines for reliability, data quality, and performance;
• 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.