Data Engineer I

Texas Farm Bureau and Affiliated Companies • Waco, TX

1d • Onsite

About The Position

The Data Engineer I position builds, monitors, and supports data pipelines that move and transform data across on-premise and cloud-based systems. This role is ideal for a self-starter eager to learn the foundations of data engineering and contribute to data workflows that power analytics, reporting, and business operations. The Data Engineer I works closely with senior engineers, data analysts, and business stakeholders to deliver reliable, efficient, and well-documented data pipelines using tools such as Azure Data Factory and Databricks.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field, and minimal experience in data quality analysis or a similar role.
• Associate degree in Computer Science, Information Systems, Data Engineering, or a related field, and foundational experience in data quality analysis or a similar role.
• Good experience with T-SQL for query development.
• Familiarity with database platforms such as Microsoft SQL Server, PostgreSQL, Synapse, or Databricks.
• Understanding of relational data modeling concepts and data warehouse standards.
• Experience building views, stored procedures, and functions.
• Comfortable working with large datasets and optimizing query performance.
• Experience with Git, version control and basic scripting (Python preferred).
• Strong problem-solving and analytical skills.
• Attention to detail and commitment to data accuracy.
• Ability to communicate clearly with both technical and non-technical team members.
• Comfortable working collaboratively and documenting work for others.

Nice To Haves

• Internship or project experience in data engineering, analytics, or cloud development.
• Exposure to data quality or data governance principles.
• Knowledge of Microsoft Synapse, Azure SQL Database, or Data Lake is a plus.

Responsibilities

• Assist in the development and maintenance of data pipelines that extract, transform, and load (ETL/ELT) data from diverse sources into reporting and analytical environments.
• Support scheduled and event-driven pipeline operations using tools such as Azure Data Factory and/or Databricks.
• Participate in the testing, validation, and documentation of pipeline logic and data flows.
• Monitor data jobs and assist with troubleshooting failed runs or unexpected results.
• Work with data analysts and developers to understand requirements and build repeatable, scalable data ingestion processes.
• Help identify opportunities for optimization and automation of routine data movement tasks.
• Maintain documentation of data workflows, job logic, and transformation rules for continuity and support.
• Learn and apply best practices for secure, reliable, and well-governed data delivery.
• Other duties as assigned.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Associate degree