Data Engineer – Onsite | Baytown, Tx
About The Position
Reporting to the VP of IT, this position works as a member of the Data Analytics department. This position is responsible for designing, building, and owning the organization's enterprise data platform from the ground up. We are seeking a visionary, self-directed data leader who can look beyond individual applications, take initiative, and identify how disparate systems and datasets can be connected to create a complete, enterprise-wide view of the credit union. This includes developing a centralized data warehouse, enabling modern dashboard reporting, and leveraging other modern tools, including AI, to accelerate delivery. This role will take ownership of the full data lifecycle, from source-system ingestion and integration through curated datasets and comprehensive, trusted reporting across the credit union. The Data Engineer is also expected to serve as a trusted business partner, working collaboratively with leaders, analysts, and subject matter experts to understand priorities, translate.
Requirements
- Five years to eight years of similar or related experience.
- Bachelor's degree in finance, business, computer science, or relevant financial field or equivalent work experience.
- Work involves much personal contact with others inside and/or outside the organization for the purpose of first-level conflict resolution, building relationships, and soliciting cooperation. Discussions involve a higher degree of confidentiality and discretion, requiring diplomacy and tact in communication.
- Experience building data pipelines processes and data warehouses utilizing ETL processes thinking strategically, taking initiative, and designing integrated data solutions across disparate systems. Also demonstrating the ability to understand business reporting needs in order to create inclusive, trusted datasets that support enterprise-wide analysis
- Advanced SQL skills and experience with scripting languages such as Python or R
- Demonstrated use of AI tools to improve development speed or quality
- While performing the duties of this job, the employee is regularly required to use hands or fingers, handle or feel; reach with hands and arms; talk and hear. The employee frequently is required to stand, walk, and sit. Specific vision abilities required of this job include close vision and ability to adjust focus.
Nice To Haves
- Exposure to cloud or modern platforms (Azure, Fabric, Snowflake, etc.)
Responsibilities
- Creates and implements a new data warehouse
- Replaces manual reporting with structured datasets utilizing SSRS, PowerBI, Tableau, or other approved modern reporting tools
- Introduces modern tools where currently utilized tools are not sufficient
- Translates a forward-looking data vision into practical solutions by connecting disparate systems and datasets to support comprehensive, cross-functional reporting
- Proactively identifies data gaps, integration opportunities, and reporting needs without waiting for detailed direction
- Utilizes of AI as a tool to move faster is required
- Builds and maintains robust data pipelines across multiple source systems
- Structures and cleans data to ensure consistency and usability
- Optimizes performance and reduces data latency
- Designs curated datasets and semantic models for modern dashboard reporting
- Supports and Guides analysts in building scalable dashboards
- Improves performance and consistency of reporting solutions
- Measures adoption, value, quality, efficiency gains, risks, and lessons learned; communicates progress, recommendations, and barriers to leadership
- Provides practical guidance, coaching, and reusable resources that improve AI literacy and help employees adopt approved AI capabilities effectively.
- Promotes responsible AI adoption by ensuring solutions follow approved security, privacy, data governance, compliance, and risk management requirements.
- Uses AI tools to accelerate: Pipeline Development, Query Optimization, Documentation and data mapping
- Identifies opportunities for automation and predictive analytics
- Ensures data accuracy, integrity, and reliability across the platform
- Implements data validation, monitoring, and alerting processes
- Supports regulatory compliance requirements
- Performs other duties as assigned.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
