Bi Dashboards Data Jobs

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Today

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

Lead end-to-end enterprise data engineering efforts, from pipeline and reporting foundations to data governance and AI operationalization.

Responsibilities

Design, develop, and maintain reports, dashboards, and business intelligence solutions aligned with organizational objectives.
Architect, build, and optimize scalable data pipelines and cloud-based data solutions using modern SaaS and PaaS platforms.
Create and maintain data models, including dimensional and semantic models, to keep enterprise data usable and consistent for reporting and analytics.
Develop and tune complex SQL transformations and queries using SQL, PL/SQL, T-SQL, and Python to support ETL and ELT processes.
Build 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.
Establish automated data quality monitoring, reconciliation, and pipeline observability, including data quality measures.
Lead enterprise AI and machine learning initiatives, including model integration and operationalization.
Establish and maintain end-to-end model lifecycle management processes: version control, validation and approval, deployment standards, continuous performance monitoring for drift and accuracy, and scheduled periodic reviews with documented outcomes.
Enforce data governance standards covering data quality, classification, retention, and access controls aligned with organizational policies and Texas records retention requirements.
Ensure proper data usage controls for AI, including approved data sources, privacy requirements, 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 needs 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 and tools such as JIRA, Confluence, and Git.
Investigate new technologies and assess their viability for current and future projects.
Improve process, performance, and security of data solutions and integrations.
Contribute new viewpoints and strategies to stimulate growth.
Ability to use and integrate approved AI solutions.
Provide after-hours support as needed; other duties as assigned.
Follow all applicable policies and procedures, including all security policies.

Requirements

Bachelor’s degree in data science, computer science, information systems, engineering, actuarial science, mathematics, statistics, or 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.
Demonstrated ability to translate business needs and stakeholder requests into complex technical requirements.
Advanced SQL and Python proficiency for data engineering, transformation, and analysis.
Strong written and verbal communication skills to convey 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

Benefits

Participation in TMRS pension plan with a 2:1 organization match.
Optional 457(b) deferred compensation plan participation.
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 a minimum of three days per week; remote work opportunities exist, but this is not a remote position.
Starting base salary (based on experience and qualifications).

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: 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

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

Certificates & Licenses

Microsoft Azure Data certifications are preferred.
Microsoft Azure AI certifications are preferred.

Qualities We Are Looking For

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, integrity, and strong work ethic.
Effective communication: listens carefully, asks effective questions, articulates clearly and concisely.
Self-driven with strong attention to detail and structured problem-solving in a collaborative team environment.

Physical Requirements

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

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