Sr. Data Engineer

Caliber Holdings • Lewisville, TX

2d

About The Position

Create and maintain optimal data pipeline architecture. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. Develop complex data pipelines using SSIS packages, Azure Data Factory, Hadoop, Spark or other related ETL/ELT tools to move and translate data. Establish and maintain standards for coding, data modeling, pipeline development, and documentation to ensure consistency and scalability. Promote best practices in CI/CD, testing, and compliance across data engineering workflows. Support junior engineers through code reviews, technical guidance, and knowledge sharing sessions. Help them grow their skills, follow best practices, and deliver high quality, efficient solutions. Assess and pilot tools for data integration, cataloging, observability, and orchestration to improve the team's productivity and data reliability. Provide recommendations based on business needs, technical fit, and longterm scalability.

Requirements

• Bachelor’s degree in Computer Science, Statistics, Informatics, Information Systems, related field or foreign degree equivalent.
• 4 years of progressively responsible experience building and maintaining data pipelines, designing and optimizing ETL processes, working with large scale data warehouses, writing complex SOL programming, developing data models and implementing data security and integration standards.

Responsibilities

• Create and maintain optimal data pipeline architecture.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
• Develop complex data pipelines using SSIS packages, Azure Data Factory, Hadoop, Spark or other related ETL/ELT tools to move and translate data.
• Establish and maintain standards for coding, data modeling, pipeline development, and documentation to ensure consistency and scalability.
• Promote best practices in CI/CD, testing, and compliance across data engineering workflows.
• Support junior engineers through code reviews, technical guidance, and knowledge sharing sessions.
• Help them grow their skills, follow best practices, and deliver high quality, efficient solutions.
• Assess and pilot tools for data integration, cataloging, observability, and orchestration to improve the team's productivity and data reliability.
• Provide recommendations based on business needs, technical fit, and longterm scalability.

What This Job Offers

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