Senior Data Engineer

Position Overview 
The Senior Data Engineer plays a critical role in designing, building, and optimizing enterprise data solutions that enable data-driven decision-making and operations across TMRS. This role partners with cross-functional teams to deliver scalable data pipelines, reporting solutions, and advanced analytics capabilities powered by artificial intelligence and machine learning.

Key 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, including data quality, data classification, retention, and access controls in alignment with organizational policies.
• Ensure proper data usage controls for AI, including approved data sources, data privacy, and secure handling of sensitive information.
• Establish and maintain end-to-end model lifecycle management processes, including version control, validation and approval processes, deployment standards, continuous performance monitoring (e.g., drift and accuracy), 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.
• Ability to use and integrate approved AI solutions
• After hours support as needed
• Other duties as assigned

Physical Requirements
Sedentary work: Exerting up to 10 pounds of force. Ability to perform the essential job functions safely and successfully consistent with federal, state, and local standards.

Qualities We Are Looking For

• Demonstrates strong initiative and ownership by proactively identifying and addressing gaps. 
• Exhibits a servant leadership mindset, focused on enabling others and removing obstacles to success. 
• Drives meaningful impact with a strong focus on outcomes and results. 
• Actively listens to customers and stakeholders to understand needs and translate them into effective solutions. 
• Consistently produces high-quality work with strong attention to detail and accuracy. 
• Demonstrates curiosity and a commitment to lifelong learning and continuous improvement
• Invests in the growth of others by sharing knowledge, coaching, and mentoring.
• Interacts with excellence, modeling self-control, integrity, and kindness to foster a collaborative and respectful environment

Education and Experience

Required

• 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 
• Demonstrated 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, with the ability to clearly convey complex technical concepts to non-technical stakeholders 
• Self-driven with a strong attention to detail; 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 related field.

Preferred

• 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.

CERTIFICATES AND LICENSES 
Preferred

• Microsoft Azure Data certifications
• Microsoft Azure AI certifications

TMRS Overview
Texas Municipal Retirement System (TMRS) is a trusted partner to more than 900 cities across Texas, providing retirement, disability, and survivor benefits to over 260,000 public servants and their families. We are proud to be recognized as an example of fiduciary excellence through our management of more than $44 billion in Trust Fund assets.

At TMRS, every role supports our mission: providing secure lifetime income to our members. Our work gives back to communities across Texas, and we take pride in doing it with integrity, accountability, and a commitment to excellence.

Compensation and Benefits 

• Starting base salary (based on experience and qualifications)
• Participation in TMRS pension plan, with a 2:1 organization match
• Optional participation in a 457(b) deferred compensation plan
• Medical, dental, and vision insurance at no cost to employees
• Hybrid work opportunities; 12 paid holidays; generous leave
• Modern, centrally located Austin office
• Thoughts and ideas clearly and concisely.
• You are a neighbor. You live within a commutable distance to TMRS’ office and will work in the office at least three days/week.  There are remote work opportunities, but this is not a remote position.

TMRS is an Equal Opportunity Employer.