Cloud Data Engineer: Pipelines, Modeling & Snowflake

Gonzaba Medical Group; San Antonio (TX); On-site; USD 110,000 - 150,000; Full time

Job summary

Gonzaba Medical Group in San Antonio, TX is seeking a skilled Data Engineer to design, build, and maintain scalable ingestion frameworks across modern data tools. You will work with cloud-based platforms to create data pipelines and models that empower business intelligence and analytics.

The ideal candidate has strong Snowflake, SQL Server, Azure experience, solid Python skills, and experience with dbt and data replication tools.

Qualifications

• Bachelor’s degree in a quantitative field is preferred.
• 3+ years of data engineering experience with data integration, modeling and ELT.
• Experience with Snowflake, SQL Server, and cloud platforms such as Azure.

Responsibilities

• Design, build, and maintain data pipelines and models for business users.
• Extract data from various sources using data replication tools and APIs.
• Scale and optimize existing data pipelines for efficient data flow and availability.
• Collaborate with stakeholders to implement data models for BI and analytics.
• Ensure data quality, integrity, and reproducibility across projects.
• Evaluate and improve data architecture and tooling.

Skills

Python

Data Modeling

ELT processes

Communication

Education

Bachelor’s Degree in Computer Science, Data Analytics, Data Science or related quantitative field

Tools

Snowflake

SQL Server

Azure

Fivetran

dbt

Azure DevOps

Job description

Gonzaba Medical Group in San Antonio, TX is seeking a skilled Data Engineer to design, build, and maintain scalable ingestion frameworks across modern data tools. You will work with cloud-based platforms to create data pipelines and models that empower business intelligence and analytics.

The ideal candidate has strong Snowflake, SQL Server, Azure experience, solid Python skills, and experience with dbt and data replication tools.