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Data Engineer I

Job

Texas Farm Bureau and Affiliated Companies

Waco, TX (In Person)

Full-Time

Posted 4 days ago (Updated 15 hours ago) • Actively hiring

Expires 7/14/2026

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Job Description

Data Engineer I Texas Farm Bureau and Affiliated Companies Waco, TX Job Details Full-time 23 hours ago Qualifications Data integrity assurance Data model design Azure SQL Database Commercial use (data warehousing systems) Cloud analytics services Databricks Data modeling Data Integration (Data management) Computer Science Engineering development testing Cloud data warehouses Data validation techniques Associate's degree in computer science Technical documentation Git Information Systems Scalable systems Stored procedures Azure Synapse Analytics Data integrity and documentation Event-driven architecture Analysis skills ETL process automation Associate's degree in Information Systems Azure Data Factory Data quality monitoring Data Security (Data management) Version control systems Query execution time improvement Computer Information Systems Full Job Description The Voice of Texas Agriculture.
Company:
Texas Farm Bureau Casualty Insurance Company |
Department:
Project Management Office (Data Office) 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.
MAJOR RESPONSIBILITIES AND AUTHORITY
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.
MINIMUM POSITION QUALIFICATIONS
Education and Experience:
At least one of the following: 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.
Technical Skills:
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).
Soft Skills:
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.
Preferred Qualifications:
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.
PHYSICAL REQUIREMENTS
Use of office equipment over six (6) hours per day. Extended periods of sitting and concentration. Occasional bending, twisting, crouching, pulling, pushing, lifting, and moving items weighing up to 30 lbs.
WORKING CONDITIONS
Occasional long, irregular hours. Provide after-hours problem resolution when required. Occasional travel by auto or other public transportation. Work to be conducted in office environment owned or leased by company. Texas Farm Bureau is an Equal Opportunity Employer (M/F/D/V).