Data Engineer

Gonzaba Medical Group • San Antonio, TX

12d • Onsite

About The Position

Reporting to the Director of Information Technology, the Data Engineer designs, builds, and maintains scalable data ingestion frameworks, pipelines, and models using modern data tools. The role focuses on creating data pipelines and models that address business needs, including supporting business intelligence tools and analytics. It requires experience with cloud-based data platforms and collaboration with business stakeholders, product owners, and development teams. The position has no supervisory responsibilities.

Requirements

• At least 3 years of proven data engineering experience, including hands-on expertise in data integration, data modeling, and ELT processes.
• Strong experience with Snowflake for data warehousing and managing large datasets.
• Proficiency in Microsoft SQL Server for querying, data manipulation, and optimization.
• Experience with Azure or an equivalent cloud platform.
• Strong SQL skills and a solid foundation in Python.
• Proficiency in dbt or a similar tool for data transformation, testing, and documentation.
• Experience with version control, such as Azure DevOps, and collaborative coding workflows.
• Experience with data replication tools such as Fivetran, Snowflake Openflow, or similar software.
• Ability to work on a team and collaborate with product owners and development teams.
• Ability to manage multiple projects simultaneously with limited supervision.
• Excellent communication and interpersonal skills.
• Detail-oriented, with a strong understanding of incremental logic, schema evolution, and data quality testing.
• Ability to work efficiently under pressure.
• Requires manual dexterity; sitting, standing, stooping, reaching, kneeling, crouching, bending, and walking; lifting up to 40 lbs. without assistance; close vision; and ability to adjust focus.

Nice To Haves

• Bachelor’s degree in Computer Science, Data Analytics, Data Science, or a related quantitative field is preferred.

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 to ensure efficient data flow and availability.
• Use data transformation and management tools to create high-quality, reproducible, and scalable data models.
• Collaborate with business stakeholders to understand data needs and implement models supporting business intelligence tools and analytics.
• Ensure data integrity, accuracy, and quality across data-related projects.
• Continuously evaluate and recommend improvements to the company’s data architecture and tools.
• Perform other related duties as assigned by the supervisor.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level