Data Engineer – Onsite | Baytown, Tx

Role:

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

Essential Functions & Responsibilities:

E

25%

Data Platform Ownership: 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

​

E

20%

ETL Development: 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

​

E

15%

Dashboard Development: 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

​

E

15%

AI Program Lead 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.

​

E

10%

AI Driven Development: Uses AI tools to accelerate: -Pipeline Development -Query Optimization -Documentation and data mapping Identifies opportunities for automation and predictive analytics

​

E

10%

Data Governance & Data Quality: Ensures data accuracy, integrity, and reliability across the platform Implements data validation, monitoring, and alerting processes Supports regulatory compliance requirements

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N

5%

Performs other duties as assigned.

Performance Measurements:

1.

Successfully delivers or supports a functional and scalable data warehouse within defined timelines

2.

Reduces manual reporting through standardized datasets

3.

Enables business users to access trusted data without IT intervention

4.

Communicates clearly with both technical and non-technical stakeholders

5.

Demonstrates an understanding of, and follow the requirements of all regulation compliance, including but not limited to those of Bank Secrecy Act (BSA), Anti-Money Laundering (AML), Office of Foreign Assets Control (OFAC), Customer Identification Program (CIP) and Member Due Diligence (MDD) as it specifically relates to their job functions. Employee shall be trained annually in BSA/AML compliance

Knowledge and Skills:

Experience

Five years to eight years of similar or related experience.

Education

Bachelor's degree in finance, business, computer science, or relevant financial field or equivalent work experience.

Interpersonal Skills

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.

Other Skills

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

Exposure to cloud or modern platforms (Azure, Fabric, Snowflake, etc.)

Demonstrated use of AI tools to improve development speed or quality

Physical Requirements

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.

Work Environment

Work is performed indoors with some potential for exposure to safety and health hazards related to electronics work. May require periodic travel. There is exposure to potentially hazardous conditions such as robbery. Employees are to receive detailed instructions and procedures to follow in order to minimize risk.

In accordance with the American with Disabilities Act, it is possible that requirements may be modified to reasonably accommodate disabled individuals. However, no accommodations will be made which may pose serious health or safety risks to the employee or others or which impose undue hardships on the organization.

This Job Description is not a complete statement of all duties and responsibilities comprising the position.