Senior Data Engineer

TEXAS MUNICIPAL RETIREMENT SYSTEM•Austin, TX

5d•$130,000 - $170,000•Hybrid

About The Position

The Senior Data Engineer designs, builds, and optimizes enterprise data solutions that support data-driven decision-making and operations across the Texas Municipal Retirement System (TMRS). The role partners with cross-functional teams to deliver scalable data pipelines, reporting solutions, and advanced analytics capabilities powered by artificial intelligence and machine learning. The position includes developing cloud-based data solutions, supporting ETL/ELT processes, maintaining reliable data repositories, and enforcing data governance and secure AI data-use practices. It also leads AI and machine-learning initiatives and establishes model lifecycle management processes, including version control, validation, deployment, monitoring, and periodic reviews. This is a full-time position based in Austin, Texas. The employee must live within commuting distance and work in the office at least three days per week; remote work opportunities are available, but this is not a remote position. After-hours support may be needed.

Requirements

At least 7 years of experience delivering data solutions, analytics, and reporting within cloud-based environments.
Proven experience leading technical projects from intake through design, development, and implementation.
Ability to translate business needs and stakeholder requests into complex technical requirements.
Advanced proficiency in SQL and Python for data engineering, transformation, and analysis.
Strong written and verbal communication skills, including the ability to explain complex technical concepts to non-technical stakeholders.
Self-driven, detail-oriented, and able to perform structured problem-solving in a collaborative team environment.
Bachelor’s degree in data science, computer science, information systems, engineering, actuarial science, mathematics, statistics, or a related field.
Live within a commutable distance of the TMRS office and work in the office at least three days per week.

Nice To Haves

Previous implementation of data and analytics solutions using Microsoft Synapse Analytics.
Experience implementing large language models (LLMs) and managing model versioning, including prompt/version control, evaluation tracking, continuous monitoring, and deployment lifecycle management.
Microsoft Azure Data certifications.
Microsoft Azure AI certifications.

Responsibilities

Design, develop, and maintain reports, dashboards, and business intelligence solutions aligned with organizational objectives.
Build and optimize scalable data pipelines and cloud-based data solutions using modern SaaS and PaaS platforms.
Develop and tune complex queries using T-SQL, PL/SQL, and Python to support ETL/ELT processes.
Create and maintain reliable data repositories, ensuring accurate data lineage and integrity across cloud environments.
Lead enterprise AI and machine-learning initiatives, including integration and operationalization of models.
Enforce data governance standards for data quality, classification, retention, and access controls in alignment with organizational policies.
Ensure appropriate AI data-use controls, including approved data sources, data privacy, and secure handling of sensitive information.
Establish and maintain end-to-end model lifecycle management, including version control, validation and approval, deployment standards, continuous performance monitoring, and scheduled periodic reviews with documented outcomes.
Collaborate using Agile methodologies and tools such as JIRA, Confluence, and Git to support iterative development and delivery.
Use and integrate approved AI solutions.
Provide after-hours support as needed.
Perform other duties as assigned.