Office-Based AI Data Engineer: ELT Pipelines & Snowflake

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

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.