Texas Health and Human Services Commission (HHSC), Texas Department of State Health Services (DSHS), and Texas Department of Family and Protective Services (DFPS) · Austin, US
$6K–$8K· Hybrid · Full-time · Mid
Epidemiologist IINew
Texas Health and Human Services Commission (HHSC), Texas Department of State Health Services (DSHS), and Texas Department of Family and Protective Services (DFPS) · Austin, US
$5K–$6K· On-site · Full-time · Mid
Principal Software Engineer (AI & Data Products)New
As a Staff AI-Ops Engineer in the Platform Engineering team, you will play a pivotal role in operationalizing, monitoring, and governing the AI/GenAI platform and the models, pipelines, and agents that run on it.
Responsibilities
Design and operate the MLOps/LLMOps backbone for the AI platform on Databricks and Azure Cloud Services
Develop automated CI/CD pipelines and infrastructure-as-code for models, prompts, and agents using Databricks Asset Bundles
Implement end-to-end lineage and version control across data, prompts, retrievals, models, and responses using MLflow
Build observability for data quality, data and model drift, retrieval and hallucination/grounding health, application performance, and business KPIs
Establish automated regression, A/B, canary, shadow, and champion-challenger validation
Requirements
Bachelor’s degree in Computer Science, Machine Learning, Data Science, or related field
Texas Health and Human Services Commission (HHSC), Texas Department of State Health Services (DSHS), and Texas Department of Family and Protective Services (DFPS) · Posted Nov 13, 2026
The Data Analyst V position oversees and performs highly advanced data verification by collecting, querying, and analyzing data using standard statistical tools, applications, methods, and techniques. Serving as an escalation point, Data Analyst V reviews complex variances or findings requiring additional analysis.
Oversee and perform highly advanced data verification (collecting, querying, and analyzing data using standard statistical tools, applications, methods, and techniques)
Ensure consistency and accuracy across all team reporting and communicate findings and recommendations to the QRU manager
Support day-to-day operational coordination; communicate workload priorities, data review requirements, and results to team members and/or provide technical guidance and on-the-job support to other Data Analysts
Requirements
Graduation from an accredited four-year college or university with major coursework in a related field (preferred)
Nice to have: Knowledge of HHS processes, procedures, and policies
Texas Health and Human Services Commission (HHSC), Texas Department of State Health Services (DSHS), and Texas Department of Family and Protective Services (DFPS) · Posted Nov 13, 2026
Performs advanced epidemiology work, evaluating potential adverse effects from human exposure to toxic substances and harmful physical agents.
Compensation
Salary Range: $4,523.16 - $5,888.50
Responsibilities
Provides epidemiology support to Occupational Health Surveillance, Environmental and Poison Epidemiology, and Health Assessment and Toxicology Programs
Performs follow-up on cases of reportable conditions, including contacting and interviewing exposed individuals and their employers, obtaining medical records, completing questionnaires, data entry, and data quality assurance/quality control
Analyzes and interprets surveillance data using scientifically valid methods, appropriate databases, and statistical software
Reviews Branch reports, health assessments, occupational health investigations, and other publications for scientific validity, clarity, and consistency
Publishes analyses and conclusions internally and in peer reviewed journals
Requirements
Masters' or doctoral degree from an accredited university with major coursework in epidemiology, biostatistics, or a related field
The Principal Software Engineer is a recognized technical expert with deep domain knowledge, responsible for designing and implementing software architecture for current and future products. This role evaluates existing and new designs for quality, scalability, and long-term viability.
Locations (2)
Canada
United States
Compensation
The base salary range for this role is C$180,000 - C$243,000. Note that salary may vary based on location, skills, and experience and may vary from the amounts listed above. This position may also be eligible for a variable bonus in addition to base salary as well as health coverage, paid holidays, and other benefits.
Responsibilities
Drive technical strategy and architecture within one or more product lines
Own end-to-end architecture for the product line
Translate architectural direction into actionable designs and implementations
Lead complex, cross-functional, high-impact technical initiatives
Ensure consistency and quality of design across teams
Requirements
Bachelor’s degree in information systems, computer science, engineering, related discipline, or equivalent work experience
Seeking an expert level Network Engineer to provide advanced technical leadership across the enterprise core network, cloud connectivity, and WAN in a complex, multi-site environment, focusing on establishing engineering standards, architecture patterns, and repeatable practices.
Responsibilities
Serve as a hands-on technical leader who labs, proves, automates, and implements complex network solutions with strong supporting design documentation
Apply strong engineering judgment to resolve ambiguity and make sound technical recommendations on priorities, standards, and tradeoffs
Identify systemic operational issues, such as recurring manual processes, and drive improvements through standards, automation and process improvements
Provide expert-level engineering and troubleshooting support for the Cisco core network, routing, switching, and enterprise WAN, including SD-WAN
Support cloud networking in AWS and Azure, including connectivity patterns and standards
Requirements
Bachelor's degree in Information Technology, Computer Science, Computer Engineering, Information Technology Management, or a related field
Gainwell is seeking an experienced Senior Application Support Engineer to provide technical leadership for production support and service delivery of complex, business-critical applications. The Advisor Delivery Specialist ensures availability, reliability, performance, and operational stability of the applications. This role leads troubleshooting efforts, drives continuous service improvements, and collaborates with cross-functional teams to maintain high-quality service delivery and meet business objectives.
Compensation
The pay range for this position is $86,300.00 - $123,300.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors.
Responsibilities
Lead technical production support activities for complex, business-critical enterprise applications, ensuring system availability, performance, and reliability.
Troubleshoot and resolve complex application and infrastructure issues, minimizing business impact.
Provide technical leadership during critical production incidents
Lead incident investigations, root cause analysis, problem management, and corrective action implementation.
Coordinate application deployments, production changes, maintenance activities, and operational readiness.
Design, build, and maintain real-time and near-realtime data ingestion pipelines supporting a mission-critical system and moves data across security domains using cross domain solutions (CDS) / guards.
Responsibilities
Aid the team in delivering continual data feeds to users and monitoring the health of data quality and overall data ingest
Design, build, and maintain resilient real-time/near-realtime ingestion pipelines using Apache NiFi and REST APIs, with appropriate backpressure, prioritization, retries, and error-handling strategies
Configure and monitor data flows moving across security domains via cross domain guards/solutions, ensuring data integrity and compliance with transfer policies
Parse, transform, validate, and route structured and unstructured data in a variety of formats, including Excel, CSV, JSON, and XML
Employ data manipulation and visualization tools (e.g., Grafana, Prometheus) to effectively convey pipeline status, data quality, and historical trends to leadership, users, and the data team
Requirements
Bachelor of Science degree in Computer Science
Bachelor of Science degree in Mathematics
Bachelor of Science degree in Electrical Engineering
Direct and prioritize team efforts for Microsoft 365, Google Cloud and Mail Engineering towers, architecting solutions for complex business needs and providing strategic vision recommendations to Government customer engineer leads.
Responsibilities
Provide technical, managerial, and administrative direction for planning and completing operational tasks, as well as tasks aligned to strategic initiatives across the enterprise.
Lead in the strategy, design, implementation, and maintenance of DOT’s Google Workspace and Microsoft infrastructure.
Work with stakeholders to gather requirements and define the scope of projects.
Develop and implement solutions that meet the needs of the DOT mission.
Stay up to date on the latest computing technologies and trends.
Requirements
Additional experience may be considered in lieu of degree
A Forward Deployed Engineer who thrives at the intersection of client problem-solving and hands-on AI engineering, partnering directly with clients and engineering teams to turn complex business challenges into production-grade GenAI and Agentic AI solutions.
Locations (2)
Canada
United States
Responsibilities
Embed with client engineering and business stakeholders to design, build, and deploy end-to-end production solutions on Databricks within accelerated timelines.
Architect scalable data pipelines using Delta Lake, Unity Catalog, and Apache Spark, handling complex cloud migrations, legacy BI modernization, and performance/cost optimization.
Build and deploy enterprise AI/ML workflows, knowledge layers/ontologies, and natural-language analytics solutions using Databricks AI/BI Genie, Mosaic AI, RAG architectures, and Model Serving.
Lead architectural workshops, translate business requirements into technical roadmaps, and troubleshoot production bottlenecks alongside client teams.
Act as the primary technical bridge between Tiger Analytics delivery teams, client stakeholders, and Databricks field engineering teams to drive adoption and expand platform capabilities.
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