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Data Engineer (SR)

TEXAS MUNICIPAL RETIREMENT SYSTEM Austin, TX

Austin, TX

Today

$130k - $170k/yr Full time Senior Azure Bi Dashboards

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Job Description

Join the Texas Municipal Retirement System in Austin to design and optimize enterprise data and AI-enabled platforms for data-driven decision-making.

Responsibilities

Design, develop, and maintain reports, dashboards, and BI solutions aligned with organizational objectives
Architect, build, and optimize scalable data pipelines and cloud data solutions using modern SaaS and PaaS platforms
Design and maintain data models, including dimensional and semantic models, to ensure enterprise data consistency across reporting and analytics
Develop and tune complex data transformations and queries using SQL, PL/SQL, T-SQL, and Python for ETL/ELT
Create and maintain reliable data repositories with accurate data lineage, documented definitions, and data integrity across on-premises and cloud environments
Integrate data from systems of record using established data modeling standards
Set up automated data quality monitoring, reconciliation, and pipeline observability; define and report data quality measures
Lead enterprise AI and machine learning initiatives, including model integration and operationalization
Establish end-to-end model lifecycle management covering version control, validation and approval, deployment standards, continuous monitoring for drift and accuracy, and scheduled periodic reviews with documented outcomes
Enforce data governance standards for data quality, data classification, retention, and access controls aligned to organizational policies and Texas records retention requirements
Ensure proper AI data usage controls, including approved data sources, privacy, and secure handling of sensitive member information
Produce control evidence supporting internal audit, external examinations such as SOC, and NIST-aligned security control reviews
Translate stakeholder requests into technical requirements and lead technical projects from intake through design, development, and implementation
Lead peer review of code, models, and reports
Mentor mid-level and junior data staff and help build analytics capability among business users
Collaborate using Agile methodologies with tools such as JIRA, Confluence, and Git
Investigate new technologies and assess viability for current and future projects
Improve process, performance, and security of data solutions and integrations
Support after-hours requirements as needed
Perform other duties as assigned; follow all applicable policies including security policies

Requirements

Bachelor’s degree in data science, computer science, information systems, engineering, actuarial science, mathematics, statistics, or a related field
Minimum 7 years 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 to explain complex technical concepts to non-technical stakeholders

Technologies

SQL, PL/SQL, T-SQL, Python
Azure, AWS
Power BI
Azure Synapse Analytics
JIRA, Confluence, Git
ETL, ELT
MLOps
Microsoft Azure Data certifications
Microsoft Azure AI certifications

Education & Experience

Hands-on experience with Advanced SQL (Oracle PL/SQL and T-SQL) and Python for data engineering, transformation, and analysis
Hands-on experience with cloud data platforms and services (Azure and AWS), including storage, compute, and managed data services
Hands-on experience with ETL and ELT pipeline design, orchestration, and scheduling
Hands-on experience with data warehouse, lakehouse, and dimensional modeling
Hands-on experience with business intelligence and reporting platforms (Power BI or equivalent)
Hands-on experience with data governance including classification, lineage, retention, and access control
Hands-on experience with machine learning model integration and lifecycle management (MLOps)
Hands-on experience with Agile delivery tooling: JIRA, Confluence, and Git-based source control

Preferred

Implementation experience with Microsoft Power BI and Azure Synapse Analytics
Experience implementing large language models including model versioning (prompt/version control), evaluation tracking, continuous monitoring, and deployment lifecycle management
Experience sourcing data from Oracle and SQL Server systems of record
Experience with data cataloging, master data management, or metadata management tooling
Experience with streaming or near-real-time integration
Public sector, pension administration, or financial services environment experience subject to SOC or NIST-based control requirements
Experience supporting actuarial, investment, or financial reporting data needs

Certificates & Licenses

Microsoft Azure Data certifications (preferred)
Microsoft Azure AI certifications (preferred)

Benefits

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
Onsite presence required at least three days per week; remote work opportunities exist, but this is not a remote position
Starting base salary based on experience and qualifications

Qualities

Confident and mature leadership skills
Highest level of character and integrity
Executive presence and strength of character
Excellent interpersonal and relationship skills
Intellectual curiosity and determination
Team orientation and strong work ethic with respect and integrity
Effective communicator with clear, concise articulation of ideas
Self-driven with strong attention to detail and structured problem-solving in collaboration

Physical Requirements

Sedentary work; exerting up to 10 pounds of force
Ability to perform essential job functions safely and successfully consistent with federal, state, and local standards

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