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data operations engineer

Texas Children's Hospital

<div><p>Texas Children&rsquo;s Hospital has an opening for a Data Operations Engineer position in Houston, Texas. Duties Include:<br>
</p><p></p><p>Responsibility A: Analyzes and coordinates the designing of new &amp; existing applications to support clinical business operations.
</p><div><ul><li><div>Creates and refines data visualization tools to empower Operational users to more effectively utilize data in their daily practice management.
</div><div><ul><li><div>Coordinates new development ensuring consistency and integration with existing information data structure.
</div></li></ul><ul><li><div>Leads business analysis, information acquisition, data access design, archive and recovery strategy, security, and change management.
</div></li></ul><ul><li><div>Develops, designs, and modifies technical specifications to address business problems, needs, and opportunities.
</div></li></ul><ul><li><div>Collaborates with operational leaders and clinicians to optimize systems, clarify needs, prioritize requests, recommend technology design, and implement innovative system enhancements.
</div></li></ul></div></li></ul></div><p>Responsibility B: Collaborates with TCH internal core stakeholders to identify data and analytics application systems and process needs.
</p><div><ul><li><div>Acts as liaison between department(s) and the IS data and analytics team for troubleshooting, immediate support, and issue resolution.
</div><div><ul><li><div>Analyzes data and prepares reports for Hospital leadership and department stakeholders on a monthly, quarterly, annual or as-needed basis.
</div></li></ul><ul><li><div>Manages security access for department-specific dashboards.
</div></li></ul><ul><li><div>Validates department data from ingestion to production, adopts Enterprise Integration and Reporting Standards, and monitors data processes to ensure quality and lead issue resolution.
</div></li></ul></div></li></ul></div><p>Responsibility C: Analyzes system problems and modifications and manages data integrity.
</p><div><ul><li><div>Analyzes clinical and business use of existing systems to identify problems and define system improvements.
</div><div><ul><li><div>Creates and implements data management strategy, develops validation mechanisms for data quality and accuracy at point of entry, and performs regular data audits using continuous quality improvement practices.
</div></li></ul></div></li></ul></div><p>Responsibility D: Communicates/Collaborates with IS Data and Analytics team to manage testing and approval of updates/upgrades and modifications.
</p><div><ul><li><div>Reviews functionality in test environment before migration to production, in partnership with IS data and analytics team.
</div><div><ul><li><div>Serves as the department's point of contact for communications with IS Help Desk and Analysts, including submission of service requests.
</div></li></ul><ul><li><div>Participates in and/or leads pilots or application testing and may prepare and facilitate training classes for end users.
</div></li></ul></div></li></ul></div><p>Responsibility E: Develops new processes to address identified needs and assures completion of new processes.
</p><div><ul><li><div>Collaborates with end users, other departments, and IS data and reporting team to develop, review, document, and implement new processes including post-action plan metrics.
</div></li></ul></div><p>Responsibility F: Serves as subject matter, process expert and advisor in core department functional areas of TCH.
</p><div><ul><li><div>Identifies end users, establishes regular communication, and shares best practices regarding data and visualizations.
</div><div><ul><li><div>Maintains current knowledge of applications, data models, and shared values for integrated report writing.
</div></li></ul><ul><li><div>Serves as subject matter expert for all source systems and workflows, both clinical and operational.
</div></li></ul></div></li></ul></div><p>Responsibility G: Facilitates improvements and actively seeks ways to use technology to improve productivity and business processes.
</p><div><ul><li><div>Provides functional support in optimizing solutions aligned with regulatory agencies and TCH strategic plan.
</div><div><ul><li><div>Develops, designs, and modifies functional specifications and business process maps and works with IS team to test and correct programs.
</div></li></ul></div></li></ul></div><p>Responsibility H: Participates in committees as an Ambulatory Administration Data Representative.
</p><div><ul><li><div>Represents operational department as participating member of designated commitees, acts as technical liaison between operational and technical leaders and communicates committee goals, problems and solutions to Ambulatory leaders.<br>
</div></li></ul></div><p></p><p>Requirements: Employer will accept a minimum of bachelor&rsquo;s degree, or U.S. equivalent in Computer Science, Business Administration, Healthcare Administration, Business or Technology field or another closely related field and 60 months of experience as a Data Operations Engineer or related occupation. In the alternative, Employer will accept a master&rsquo;s degree, or U.S. equivalent in Computer Science, Business Administration, Healthcare Administration, Business or Technology field or another closely related field and 36 months of experience as a Data Operations Engineer or related occupation. Employer will Accept any Combination of Experience, Training or Education.<br>
</p><p></p><div><ul><li><div>60 (36) months of experience in information systems management.
</div></li></ul><ul><li><div>60 (36) months of experience in physician practice management, and/or other related operational or clinical field.
</div></li></ul><ul><li><div>12 (12) months of experience with data-driven research in a medical/hospital setting.<br>
</div></li></ul></div><p></p><p>To apply: You must apply online through the &ldquo;Apply&rdquo; tab. Include complete contact information (incl. e-mail, day/evening phone, and mailing address) on resume/application.</p></div><p></p>

Data Operations Engineer

Chevron

<div><div><p>Chevron believes the future of energy is lower carbon. And we know that affordable, reliable, ever-cleaner energy is essential to achieving a more prosperous and sustainable world. For Chevron, reducing the carbon intensity of oil and gas represents a tremendous opportunity to advance the global net zero ambitions of the Paris Agreement and build a lower-carbon economy.</p><p></p><p>
Technology will play a crucial role in achieving this goal, and Chevron is seeking interns with a desire to thrive in a cutting-edge digital, global environment to securely advance the global energy transition. We differentiate ourselves through the application of technology, taking an approach that includes in-house expertise, proprietary solutions, and strategic partnerships.</p><p></p><p>
You will be supported by mentoring programs and employee networks to excel your professional development, learn about our business and technology organizations from key leaders, and have fun with work and social events throughout the summer!</p><p></p><p>
Information and Analytics is one of five job families within Information Technology. Roles within this job family understand the use of data, insights, and information to support work processes and strategic business objectives:</p><ul><li>
Transforms data into insights for making better decisions across the enterprise.</li><li>
Develops, executes, and manages information and data architectures, governance, practices, and procedures.</li><li>
Manages the full information and data lifecycle needs of the enterprise.</li></ul><p></p><p><b>
Positions available</b></p><ul><li>
Data Scientist</li><li>
Data Engineer</li><li>
Machine Learning Engineer</li><li>
Business Intelligence Analyst</li><li>
Data Analyst</li></ul><p></p><p><b>
Locations</b></p><ul><li>
Houston, TX</li></ul><p></p><p><b>
Data Scientist</b></p><p>
We are looking for motivated individuals to apply data science and machine learning expertise and solution delivery to join our team! You will be responsible for partnering across the business to identify opportunities to apply data science and create data science products that deliver strong value. Successful candidates will have the skills to identify, prototype, and build data science products.</p><p></p><p><b>
Key responsibilities</b></p><ul><li>
Identify and frame opportunities to apply advanced analytics, modeling, and related technologies to data that provide insight and improve decision making, and automation</li><li>
Identify data necessary and appropriate technology to solve business challenges</li><li>
Clean data, develop models, and test models</li><li>
Establish the life cycle management process for models</li><li>
Provide technical mentoring in modeling and analytics technologies, the specifics of the modeling process, and general consulting skills</li></ul><p></p><p><b>
Data Engineer</b></p><p>
We are looking for motivated individuals to design data products and data pipelines that are resilient to change, modular, flexible, scalable, reusable, and cost effective. You will leverage data and software engineering techniques to create business value through data accessibility. The primary role of data engineers is to make data available, secure, and accessible in usable formats to stakeholders. Successful candidates will understand the business use of data and the stakeholders&rsquo; requirements to support work processes and strategic business objectives.</p><p></p><p><b>
Key responsibilities</b></p><ul><li>
Identify, acquire, cleanse/prepare, store data, and develop reusable data products aligned with defined architecture patterns</li><li>
Create and manage data pipelines that enable advanced analytics models, and handle data challenges and opportunities</li><li>
Ensure the scalability and reliability of model deployment, and document the technical aspects of the process</li><li>
Develop and share reusable tools for data engineering tasks, and leverage technical services to optimize data workflows</li></ul><p></p><p><b>
Machine Learning Engineer</b></p><p>
We are looking for motivated individuals to bring technical expertise, innovation, and passion for building amazing data science solutions with real-world impact to join our team! Successful candidates will drive significant value through the agility of a small startup while ensuring scale and model/code reuse to a larger federated, world-wide organization by leveraging agile practices, continuous delivery, and automation techniques. There will be no shortage of opportunities to lead, innovate, challenge the status quo, and work directly with Data Scientists, Analytics Professionals and Business experts to build and deliver innovative, value driven AI solutions.
</p><p></p><p><b>Key responsibilities</b></p><ul><li>
Consult, identify and frame opportunities to implement AI solutions that help gain insight and improve decision making and automation</li><li>
Identify data, technology, and architectural design patterns to solve business challenges using analytical tools and AI design patterns and architectures</li><li>
Partner with Data Scientists and Chevron IT Foundational services to implement complex algorithms and models into enterprise scale machine learning pipelines
</li><li>Build machine and deep learning systems optimized for scalability and performance</li><li>
Transform data science prototypes into scalable solutions in a production environment</li><li>
Orchestrate and configure infrastructure that assists Data Scientists and analysts in building low latency, scalable and resilient machine learning, and optimization workloads into an enterprise software product</li><li>
Run machine learning experiments and fine-tune algorithms to ensure optimal performance</li></ul><p></p><p><b>
Business Intelligence Analyst</b></p><p>
We are looking for motivated individuals to provide data science and analytics expertise and solution delivery across Chevron to join our team! You will understand data in the larger context of the business and the value chain to transform data into insights for better decision-making through scientific exploration, analytics, and data. Successful candidates will be accountable for leading initiatives by performing data analysis, translating data requirements to technical requirements, and driving insights to business problems and decisions.</p><p></p><p><b>
Key responsibilities</b></p><ul><li>
Access, gather, and analyze data from source systems</li><li>
Help frame the business problem by providing quantitative and qualitative data analysis (data quality, availability, etc.)</li><li>
Drive insights to business problems by visualizing the data and telling a story through data (report patterns, trends, anomalies, etc.)</li><li>
Participate in the end-to-end product development lifecycle as a member of agile team</li><li>
Contribute to data analysis, data wrangling, data visualization, and acceptance testing</li><li>
Present findings and new development to help refine backlog items</li></ul><p></p><p><b>
Data Analyst</b></p><p>
We are looking for motivated individuals to provide expertise on how business workflows map to data, and how data can be integrated to build reusable data products. Successful candidates will be able to analyze the current state of data management: process, practices, tools &ndash; helping to shape future needs and serve as a subject matter expert for delivery teams.</p><p></p><p><b>
Key responsibilities</b></p><ul><li>
Understand the business use of data and stakeholder requirements to support strategic business objectives</li><li>
Collaborate with delivery teams to provide data management direction and support for initiatives and product development</li><li>
Contribute to the design of common information models</li><li>
Consult on the appropriate data integration patterns, data modeling and data quality</li><li>
Maintain and share knowledge of requirements, key data types and data definitions, data stores, and data creation process</li></ul><p></p><p><b>
Requirements</b></p><p><b>
Preferred education / degrees</b></p><ul><li>
Currently enrolled in bachelor&rsquo;s or master&rsquo;s degree program in Computer Science, Computer Engineering, Mathematics, Statistics, Operations Research, Data Science, Management Information Systems, or related Engineering degree</li><li>
Must provide a current, unofficial transcript with online resume (as proof of good academic standing) when applying for this position to be considered.</li></ul><p></p><p><b>
Experience</b></p><ul><li>
Data acquisition, analysis, modeling, movement, transformation, and preparation experience</li><li>
Demonstrated depth in advanced analytics / data science technologies (e.g., machine learning, operations research, statistics, data mining)</li></ul><ul><li>
Data Analyst: Experience with data modeling, data management, data quality, SQL</li><li>
Data Engineer: Experience using data pipelines, Data Lake and storage configuration, Python, RDBMS &amp; SQL</li><li>
Machine Learning Engineer: Software Engineering background. Working knowledge of mathematics (primarily linear algebra, probability, statistics), and algorithms. Working knowledge of machine learning frameworks and machine learning libraries.</li></ul><p></p><p><b>
Preferred skills / competencies</b></p><ul><li>
Ability to communicate in a clear and concise manner both orally and in writing.</li></ul><ul><li>
Knowledge of enterprise SaaS complexities including security/access control, scalability, high availability, concurrency, online diagnoses, deployment, upgrade/migration, internationalization, and production support</li><li>
Experience designing custom APIs for machine learning models for training and inference processes</li><li>
Software engineering skills and fundamentals: coding (Python, R) and Github, source control versioning, requirement spec, architecture, and design review, testing methodologies, CI/CD, etc.</li></ul><p></p><p><b>
Additional information</b></p><ul><li>
Relocation may be considered within Chevron parameters</li><li>
Chevron regrets that it is unable to sponsor employment visas or consider individuals on time limited visa status for this position</li></ul></div><div></div><div><div><div><div><p><b><br>
Regulatory Disclosure for US Positions:</b></p><ul><li>
The compensation and reference to benefits for this role is listed on this posting in compliance with applicable law.
</li><li>The anticipated hourly range for this position is $23.65 - $37.50. The selected candidate&rsquo;s monthly or hourly compensation will be determined based on their respective discipline, degree level and academic year for U.S. payroll offers.
</li><li>Chevron offers competitive compensation and benefits programs to eligible employees which includes, but is not limited to, variable pay, health care coverage, retirement plan, protection coverage, time off and leave programs, training and development opportunities and a range of allowances connected to specific work situations. Details are available at http://hr2.chevron.com/.</li></ul></div></div></div></div><p></p><p><br>
U.S. Regulatory notice:</p><p></p><p>
Chevron is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, sex (including pregnancy), sexual orientation, gender identity, gender expression, national origin or ancestry, age, mental or physical disability, medical condition, reproductive health decision-making, military or veteran status, political preference, marital status, citizenship, genetic information or other characteristics protected by applicable law.</p><p></p><p>
We are committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or an accommodation, please email us at emplymnt@chevron.com.</p><p></p><p>
Chevron participates in E-Verify in certain locations as required by law.</p></div>

2026-2027 Information Technology – Information and Analytics – Intern

Mustang Cat

Building Texas… Powering the World.
<br><br>
Since 1952, Mustang has proudly served the construction, oil & gas, power generation, marine, and manufacturing industries as the authorized Caterpillar® dealer for Southeast Texas. Start your career with Mustang Cat - one of America's Greatest Midsize Workplaces of 2025!
<br><br>
Senior Data Engineer
<br>Snowflake, Semantic Layer & Enterprise Data Platform
<br>Mustang Cat is seeking a highly experienced Senior Data Engineer to design, own, and govern the enterprise data environment, with a strong focus on Snowflake, semantic layer design, trusted reporting, and enterprise data modeling.
<br>This role is responsible for ensuring that data is structured, transformed, secured, documented, and made available in a way that supports accurate operational and financial reporting across the business. The Senior Data Engineer will act as the technical steward of the enterprise data platform, ensuring that data models, reporting layers, metric definitions, semantic structures, and data quality standards are intentionally designed and consistently applied.
<br>The successful candidate must be deeply experienced in Snowflake, advanced SQL, dimensional modeling, analytics-ready data structures, and semantic layer design. This role will work closely with business stakeholders, reporting teams, application owners, integration engineers, and external vendors to ensure that the data warehouse becomes a trusted foundation for reporting, analytics, and future advanced use cases.
<br>While this role will collaborate with engineers responsible for ingestion, integrations, and data movement, the Senior Data Engineer will focus primarily on data architecture, modeling, semantic layer design, reporting-layer reliability, governance, and platform stewardship.
<br><br>
<b>Key Responsibilities:</b><br>
Snowflake Data Platform Ownership & Design
<br>Own the design and evolution of the enterprise data platform, including:
<br><ul>
<li>Snowflake data warehouse architecture</li>
<li>Raw, staging, curated, semantic, and reporting-ready layers</li>
<li>Schema and object design</li>
<li>Data models, views, tables, procedures, and transformation logic</li>
<li>Storage, compute, and performance optimization strategies</li>
<li>Define how data should be organized, modeled, and accessed to support reporting, analytics, operational decision-making, and downstream use cases.</li>
<li>Ensure the Snowflake environment is designed for scalability, cost efficiency, performance, security, and long-term maintainability.</li>
<li>Establish and maintain standards for Snowflake object naming, schema organization, access control, environment separation, and change management.</li>
</ul>
Data Modeling & Semantic Layer Design
<br>Design and maintain core data models that represent business entities, metrics, relationships, and reporting structures.
<br>Define conformed dimensions, fact tables, shared reference data, hierarchies, and reusable reporting models to ensure consistency across analytics and reporting.
<br>Establish and maintain semantic layer standards so business definitions, calculations, KPIs, and measures are applied consistently across tools and teams.
<br>Partner with reporting and analytics teams to ensure models align with how data is consumed in Power BI and other reporting tools.
<br>Help move critical reporting logic out of isolated reports, spreadsheets, and disconnected BI models into governed Snowflake and semantic-layer structures where appropriate.
<br>Ensure business metrics are defined once, documented clearly, and used consistently across the enterprise.
<br>Data Quality, Trust & Governance
<br>Define data quality standards, validation frameworks, reconciliation logic, and exception reporting expectations.
<br>Identify upstream data quality issues, transformation gaps, integration problems, and reporting inconsistencies that affect trust in enterprise reporting.
<br>Establish ownership and accountability for critical data domains, business definitions, and reporting metrics.
<br>Ensure data lineage, freshness, completeness, accuracy, and reliability expectations are clearly defined and measurable.
<br>Partner with integration and data movement resources to ensure pipelines conform to data quality, modeling, and governance standards.
<br>Support the validation of key operational and financial metrics from source systems through Snowflake and into reporting outputs.
<br>Environment Management & Standards
<br><br>
<b>Define and maintain standards for:</b><br>
<ul>
<li>Data environments, including development, test, and production</li>
<li>Snowflake schemas and database objects</li>
<li>Naming conventions</li>
<li>Access control and role-based permissions</li>
<li>Transformation logic and reusable patterns</li>
<li>Deployment and change management practices</li>
<li>Documentation and data model stewardship</li>
</ul>
Ensure the data environment aligns with security, compliance, audit, and operational requirements.
<br>Act as a gatekeeper for changes that materially affect data structure, semantic definitions, reporting logic, or data integrity.
<br>Collaboration with Integration & Analytics Teams
<br>Provide clear architectural guidance to integration engineers, data movement resources, reporting analysts, and external vendors.
<br>Review and approve data structures, transformations, and reporting-layer changes implemented by internal teams or vendor partners.
<br>Partner with analytics, Power BI, and business reporting teams to ensure data is usable, performant, accurate, and well-documented.
<br>Serve as an escalation point for complex Snowflake, data modeling, semantic layer, metric definition, and platform design decisions.
<br>Translate business reporting requirements into clear data structures, models, and reusable reporting objects.
<br>Documentation & Knowledge Stewardship
<br><br>
<b>Produce and maintain clear documentation covering:</b><br>
<ul>
<li>Snowflake architecture and platform design</li>
<li>Data models, facts, dimensions, and reporting structures</li>
<li>Semantic layer definitions</li>
<li>Business metric definitions</li>
<li>Transformation logic and business rules</li>
<li>Data lineage and source-system dependencies</li>
<li>Standards, guardrails, and best practices</li>
<li>Ensure documentation supports long-term ownership, reduces institutional knowledge risk, and enables consistent use of enterprise data across teams.</li>
</ul>
<b>Required Qualifications:</b><br>
<ul>
<li>8–12+ years of experience in data engineering, analytics engineering, data architecture, or enterprise data platform roles.</li>
<li>Strong hands-on experience with Snowflake.</li>
<li>Demonstrated experience designing and owning enterprise data environments.</li>
<li>Advanced SQL expertise, including complex queries, performance tuning, analytical functions, stored procedures, and transformation logic.</li>
<li>Strong experience with data warehouse design and optimization.</li>
<li>Strong experience with dimensional and analytical data modeling.</li>
<li>Experience designing semantic layers, reporting layers, data marts, or governed enterprise metric models.</li>
<li>Strong understanding of facts, dimensions, hierarchies, conformed entities, reference data, and reusable reporting structures.</li>
<li>Experience supporting enterprise reporting environments, preferably including Power BI or similar BI tools.</li>
<li>Strong understanding of ETL/ELT concepts, data lineage, access control, and data quality frameworks.</li>
<li>Ability to understand complex source systems, including ERP, CRM, operational platforms, and legacy databases.</li>
<li>Ability to lead data design decisions without being limited to pipeline execution.</li>
<li>Strong communication skills, with the ability to explain data structures, standards, and technical decisions to both technical and non-technical audiences.</li>
</ul>
<b>Preferred Qualifications:</b><br>
<ul>
<li>Deep experience with Snowflake performance optimization, cost management, role-based access control, and environment design.</li>
<li>Experience defining semantic layers and enterprise metric catalogs.</li>
<li>Experience with Power BI semantic models, tabular models, certified datasets, or governed BI data models.</li>
<li>Familiarity with data orchestration and ingestion patterns, including tools such as Azure Data Factory, dbt, Fivetran, Matillion, Talend, Informatica, Boomi, or similar platforms.</li>
<li>Experience with ERP, Salesforce/CRM, financial systems, operational reporting, or legacy system environments.</li>
<li>Experience operating data platforms in regulated, audit-sensitive, or control-focused environments.</li>
<li>Experience mentoring engineers, analytics engineers, or reporting developers.</li>
<li>Familiarity with AI, machine learning, or advanced analytics use cases supported by governed enterprise data.</li>
</ul>
<b>What Success Looks Like:</b><br>
The Snowflake environment is clearly structured, documented, and consistently implemented.
<br>Business metrics, reporting definitions, and semantic models are defined once and used consistently across analytics and reporting.
<br>Core facts, dimensions, hierarchies, and business entities are reusable, trusted, and aligned with business needs.
<br>Data quality issues are detected early and addressed systematically.
<br>Reporting teams consume trusted, well-modeled datasets rather than rebuilding logic in individual reports or spreadsheets.
<br>Integration pipelines conform to defined data standards, contracts, and quality expectations.
<br>Power BI and other reporting tools are supported by governed data models and reliable semantic structures.
<br>The data platform scales without fragmentation, uncontrolled complexity, or inconsistent reporting logic.
<br><br>
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<br><br>
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<br><br>
Mustang Cat is an Equal Opportunity Employer.

Senior Data Engineer

Empower Pharmacy

<div><div><p>Empower Pharmacy is a visionary healthcare company dedicated to making quality, affordable medication accessible to millions of patients nationwide. As the most advanced 503A compounding pharmacy and FDA-registered 503B outsourcing facility serving the functional medicine markets, we are proud to be recognized as one of Houston's fastest-growing private companies and ranked #116 in Healthcare &amp; Medical on the Inc. 5000 List for 2025.</p>
<p>
Our strength lies in four core values&mdash;People, Quality, Service, and Innovation. Guided by these principles, we deliver a uniquely integrated approach to healthcare through vertical supply chain integration, advanced technology, and a relentless pursuit of excellence. From manufacturing to distribution to quality control, our teams work collaboratively to push boundaries, improve patient outcomes, and redefine medication accessibility.</p>
<p>
At Empower, joining our team means more than starting a new job, it means becoming part of a mission to transform healthcare. We empower our employees to innovate, grow, and make a meaningful impact every day. Here, your ideas are valued, your growth is supported, and your contributions are celebrated.</p>
<p>
If you thrive in a fast-paced, transformative environment where innovation meets purpose, Empower Pharmacy is the place for you. Let's revolutionize healthcare together.</p></div><p><b>
Position Summary:</b></p>
<p>
The Staff Software Engineer is a hands-on full-stack technical leader responsible for architecting and delivering scalable systems that support enterprise-wide pharmacy operations, manufacturing workflows, logistics, and regulatory platforms. This role owns cross-domain system design, enterprise integration, architectural standards, and long-term technical direction. The Staff Software Engineer mentors engineers, influences multiple teams, and ensures technical decisions support scalable growth, interoperability, compliance, and long-term business needs.</p>
<p><b>
Responsibilities:</b></p>
<p><b>
Architecture, Governance and Enterprise Integration</b></p>
<ul>
<li>Own end-to-end architecture across multiple systems and domains.</li>
<li>Define and enforce enterprise architectural standards and governance practices.</li>
<li>Ensure seamless integration across services, platforms, and external systems.</li>
<li>Drive long-term system design decisions that balance scalability, cost, compliance, and maintainability.</li>
<li>Lead design reviews and guide architectural decisions across teams.</li>
</ul>
<p><b>System Design, Performance and Reliability</b></p>
<ul>
<li>Design high-throughput, low-latency systems at enterprise scale.</li>
<li>Ensure systems are resilient, fault-tolerant, observable, and maintainable.</li>
<li>Lead performance optimization, capacity planning, and reliability improvements.</li>
<li>Resolve complex cross-system production issues and drive sustainable corrective actions.</li>
</ul>
<p><b>Platform and Engineering Enablement</b></p>
<ul>
<li>Build and evolve shared platform capabilities, including CI/CD, infrastructure patterns, and reusable services.</li>
<li>Improve engineering velocity through standardization, automation, and tooling.</li>
<li>Partner with infrastructure and security teams to enhance reliability, scalability, and compliance.</li>
</ul>
<p><b>Operational and Data Systems</b></p>
<ul>
<li>Translate complex operational workflows into scalable backend and full-stack systems.</li>
<li>Ensure auditability, traceability, and compliance within regulated environments.</li>
<li>Design data systems that support operational intelligence, reporting, and decision-making.</li>
</ul>
<p><b>AI and Advanced Capabilities</b></p>
<ul>
<li>Partner with data teams to integrate machine learning models and advanced analytics into production systems.</li>
<li>Enable real-time or near real-time inference capabilities where applicable.</li>
<li>Leverage AI tools to improve engineering productivity, code quality, observability, and operational insight.</li>
</ul>
<p><b>Leadership, Mentorship and Influence</b></p>
<ul>
<li>Mentor engineers and elevate system design capabilities across teams.</li>
<li>Drive engineering quality standards, best practices, and technical excellence.</li>
<li>Influence technical direction across teams without direct authority.</li>
<li>Support onboarding, coaching, and development of junior and mid-level engineers.</li>
</ul>
<p><b>Knowledge and Skills:</b></p>
<ul>
<li>Deep expertise in distributed systems, enterprise architecture, and scalable full-stack application design.</li>
<li>Experience designing systems for high scale, reliability, security, interoperability, and integration.</li>
<li>Strong proficiency in Java, Python, Node.js, C#, or similar modern programming languages.</li>
<li>Experience with cloud platforms, containerization, CI/CD, infrastructure patterns, and modern DevOps practices.</li>
<li>Strong understanding of observability, performance optimization, fault tolerance, and system resilience.</li>
<li>Ability to translate complex business and operational requirements into sustainable technical solutions.</li>
<li>Experience working in regulated or complex enterprise environments preferred.</li>
</ul>
<p><b>Experience and Qualifications:</b></p>
<ul>
<li>10+ years of software engineering experience.</li>
<li>Proven experience owning architecture across multiple systems, platforms, or domains.</li>
<li>Demonstrated ability to influence technical direction across engineering teams.</li>
<li>Experience mentoring engineers and improving engineering practices.</li>
<li>Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field required; master's degree preferred.</li>
</ul><div><p><b>
Key Competencies:</b></p>
<ul>
<li>Customer Focus: Builds trust through customer-centric solutions</li>
<li>Strategic AI: Guides responsible AI adoption and adaptation</li>
<li>Optimizes Work Processes: Drives efficiency with continuous improvement</li>
<li>Collaborates: Partners effectively to achieve shared goals</li>
<li>Resourcefulness: Secures and deploys resources efficiently</li>
<li>Manages Complexity: Simplifies and solves complex challenges</li>
<li>Ensures Accountability: Delivers on commitments with integrity</li>
<li>Situational Adaptability: Adjusts approach to shifting conditions</li>
<li>Communicates Effectively: Tailors messages to diverse audiences</li>
</ul>
<p><b>Values:</b></p>
<ul>
<li>People: Empowering people defines who we are</li>
<li>Quality: Excellence in every product, every time</li>
<li>Service: Serving others is our highest purpose</li>
<li>Innovation: Advancing care through technology and discovery</li>
</ul>
<p><b>Employee Benefits, Health and Wellness:</b></p>
<p>
We offer comprehensive benefits to support your health, well-being, and future, including medical, dental, and vision coverage, paid time off, 401(k) matching, wellness perks, IV therapy, and compounded medications. Learn more: https://careers.empowerpharmacy.com/benefits/</p>
<p><b>
Physical Requirements:</b></p>
<p>
While performing the responsibilities of the job, the employee is required to talk and hear. The employee is often required to remain in a stationary position for a significant amount of the workday and frequently use their hands and fingers to handle or feel in order to access, input, and retrieve information from the computer and other office productivity devices. Employees are regularly required to move about the office and around the corporate campus. The employee is regularly required to stand, walk, reach with arms and hands, climb or balance, and to stoop, kneel, crouch or crawl.</p></div></div><p></p>

Staff Software Engineer

Fervo Energy

<div>Description:
<p>
Geothermal today is less than half a percent of the global electricity mix. This is not because the resource isn't there. It is, nearly everywhere. It's because no one has figured out how to build geothermal power plants cheaply and repeatedly enough to compete. Fervo is changing that. We have built the world's first commercial-scale enhanced geothermal system, and we will never build a first-of-a-kind project again. Everything from here is a product, not a project. The opportunity now is aggressive deployment to keep up with explosive demand to make geothermal an essential part of the global energy mix instead of a niche one.</p><p>
Safety at Fervo is is a first-principles engineering challenge. We maintain world class process safety standards through the same continuous improvement mindset we apply to cost and schedule. We want a process safety engineer who understands that the best safety outcomes come from deeply understanding the design, not from adding layers of protection on top of a system nobody fully owns. If you want to build the safety foundation for a geothermal fleet and have your work matter at scale, this is the role.</p><p>
As Process Safety Engineer on the Integration team, you own the process safety engineering scope across Fervo's ORC facility portfolio. That means hazard identification, consequence analysis, SIS design and validation, relief and blowdown system design, and the safety documentation that ties the plant together, from HAZOP through SIL assessment through startup. You sit on the integration team, which means you see across every engineering scope and are positioned to catch the risks that live at the boundaries between systems. You report to the Integration Lead.</p>
Requirements:
<p><b><i>
Responsibilities</i></b></p><p><i>
Own Process Safety Across the Plant</i></p><ul><li>
Lead and own HAZOP, LOPA, and SIL assessment processes across the powerblock.</li><li>
Own relief system design and validation of PSVs, rupture disks, flare and vent systems. Understand the full consequence basis, not just the set pressure.</li><li>
Own the safety instrumented system (SIS) design and validation for the plant, including SIL verification, logic solver specification, and functional safety documentation in accordance with IEC 61511.</li><li>
Question every inherited safety requirement. Trace every protection layer to its consequence basis. If it can't be justified by a credible hazard scenario, it should not be in the design.</li></ul><p><i>
Own the Integration Interface</i></p><ul><li>
Sit at the intersection of all engineering scopes and catch the process safety risks that live at system boundaries &mdash; between the ORC and utilities, between the turbine package and site infrastructure, between plant control and safety systems.</li><li>
Define and maintain the safety-critical interface register for the plant. Every boundary between scopes that has a safety implication should be documented, owned, and tracked.</li><li>
Own safety documentation &mdash; cause and effect matrices, functional descriptions, safety requirements specifications &mdash; and ensure they are updated as the design evolves, not treated as one-time deliverables.</li><li>
Work closely with the controls team on the SIS/DCS interface. Safety logic and process control logic are separate systems with a well-defined boundary. Own your side of it.</li></ul><p><i>
Build the Standard</i></p><ul><li>
Standardize the process safety design basis, HAZOP methodology, and SIS architecture across all power plants. Every plant Fervo builds should benefit from the risk analysis done on the last one.</li><li>
Drive safety engineering into the design process early, not late. The cheapest protection layer is the one that gets designed out of the hazard scenario before the P&amp;ID is issued for construction.</li><li>
Close the feedback loop between safety design and field operations aggressively. Incidents and near-misses are data. Apply them forward.</li></ul><p><b><i>
Qualifications</i></b></p><p><i>
Required</i></p><ul><li>
B.S. or M.S. in Chemical, Mechanical, or Process Engineering or related discipline.</li><li>
7+ years of process safety engineering experience with direct ownership of HAZOP facilitation, LOPA, SIL assessment, and relief system design for power generation or industrial facilities.</li><li>
Hands-on experience with IEC 61511 functional safety lifecycle, SIS design, and SIL verification. Strong understanding of consequence modeling, relief system design, and pressure protection philosophy.</li><li>
Able to translate technical complexity into clear, fast decisions for cross-functional partners and project leadership.</li></ul><p><i>
Preferred</i></p><ul><li>
Background building something that had to scale, where the safety standard you set mattered beyond the project in front of you.</li><li>
Experience with ORC, geothermal, or similar power generation process systems.</li><li>
Certified Functional Safety Expert (CFSE) or equivalent.</li><li>
Track record driving process safety standardization across multiple facilities or project phases.</li></ul><p><b><i>
Location</i></b></p><p>
Fervo Energy is headquartered in Houston, TX with growing offices in Oakland, CA, Golden, CO, Reno, NV, and Salt Lake City, UT. This position will be eligible for some hybrid work flexibility, but regular in-office presence at Fervo's <b>Houston office </b>will be required. Some travel is required for this position.</p></div>

Process Safety Engineer

The Friedkin Group

<div><div><ul><li>Houston, Texas</li><li>
Information Technology</li><li>
Contract</li><li>
GSFSGroup</li><li>
6318</li></ul><div></div><div><div><div><div><div><br>
</div></div></div></div></div></div><div></div><div><h2 class="jobSectionHeader"><b>
Job Description
</b></h2><div><div><b>LIVING OUR VALUES
</b></div><div>All associates are guided by Our Values. Our Values are the unifying foundation of our companies. We strive to ensure that every decision we make and every action we take demonstrates Our Values. We believe that putting Our Values into practice creates lasting benefits for all of our associates, shareholders, and the communities in which we live.</div><div></div><div><b><br>
A Day in The Life</b></div><div>
We&rsquo;re seeking a DevSecOps Engineer to own the secure delivery pipeline and platform foundations across cloud environments. You&rsquo;ll design and automate IAM, infrastructure as code (Terraform), CI/CD (GitHub Actions), and Kubernetes operations, embedding security controls by default and enabling development teams to ship quickly and safely.</div><div></div><div><b><br>
What You&rsquo;ll Do</b></div><ul><li>
Design and implement least-privilege IAM (users, roles, policies, SSO/OIDC) across cloud and Kubernetes (RBAC, service accounts, Pod Security Standards).</li><li>
Build/maintain Terraform modules and environments (prod/non-prod), enforce drift detection, and apply policy-as-code (OPA/Conftest, Sentinel, Checkov/tfsec).</li><li>
Own GitHub Actions pipelines (build/test/scan/sign/release), reusable workflows, environment protections, required reviews, and deployment gates.</li><li>
Operate Kubernetes clusters (EKS/AKS/GKE or on-prem): cluster lifecycle, Helm/Kustomize, GitOps (Argo CD/Flux), NetworkPolicies, ingress, secrets.</li><li>
Embed software supply chain security: SCA/SAST/DAST, container/IaC scanning, SBOM generation, image signing (Cosign), provenance (SLSA).</li><li>
Implement secret management (Vault/Secrets Manager/KMS), key rotation, and secure parameter stores.</li><li>
Stand up observability: metrics, logs, traces (Prometheus/Grafana/ELK/Cloud-native), and actionable alerts.</li><li>
Automate incident response runbooks; support on-call for platform/security events.</li><li>
Partner with AppSec and product teams on threat modeling, secure design reviews, and remediation.</li><li>
Contribute to compliance initiatives (SOC 2/ISO 27001) with evidence automation and configuration baselines.</li><li>
Drive cost, reliability, and capacity guardrails; champion platform DX and documentation.</li></ul><div><b><br>
Required Qualifications</b></div><ul><li>
8+ years in DevOps/Platform/SRE with a security-first mindset.</li><li>
Strong IAM design (cloud + Kubernetes RBAC), OIDC/OAuth2, SSO/IdP (e.g., Okta/Azure Entra).</li><li>
Production Terraform experience (workspaces, modules, remote state, CI-driven plans/applies).</li><li>
Hands-on GitHub Actions (self-hosted runners, OIDC to cloud, environments/protections, matrix builds).</li><li>
Operating Kubernetes in production (Helm, networking, ingress, autoscaling, upgrades, backups/DR).</li><li>
Practical use of security scanners (e.g., Wiz, Trivy/Grype, Dependabot, Checkov/tfsec), and policy-as-code.</li><li>
Proficient with one or more clouds (AWS), Linux, containers, and networking fundamentals.</li><li>
Strong scripting in Python or Bash; Infrastructure troubleshooting and debugging skills.</li><li>
Clear communication, ownership, and ability to drive cross-team initiatives.</li></ul><div><b>
Nice to Have</b></div><ul><li>
HashiCorp Vault, keeper/Kyverno, service mesh (Istio/Linkerd), or CNI like Cilium.</li><li>
GitOps at scale (Argo CD multi-app/multi-cluster), progressive delivery (Argo Rollouts/Flagger).</li><li>
Experience with SIEM, detections, or security data pipelines.</li><li>
Knowledge of data protection (PII), tokenization, and regional compliance.</li><li>
Background in financial/insurance/auto domains (regulated environments).</li></ul><div><b>
Physical Requirements</b></div><div>
The physical requirements described here are representative of those that must be met by an associate to successfully perform the essential functions of the job. While performing the duties of the job, the associate is required on a daily basis to analyze and interpret data, communicate, and remain in a stationary position for a significant amount of the work day; and frequently access, input, and retrieve information from the computer and other office productivity devices. The associate is regularly required to move about the office and around the corporate campus. The associate is occasionally required to travel to other sites, including out-of-state, where applicable, for business. The associate must frequently move up to 10 pounds and occasionally move up to 25 pounds.</div><div></div><div><b><br>
Work Environment</b></div><div>
The work environment characteristics described here are representative of those an associate encounters while performing the essential functions of this job. While the job is generally performed in an office environment, the associate is occasionally exposed to wet and/or humid conditions, areas in which moving mechanical parts, fumes, toxic or caustic chemicals are present, and outside weather conditions. The noise level in the office environment is typically quiet, but the associate may be occasionally exposed to loud noise levels.</div><div><br>
</div><div><b>Travel Required</b></div><div>
Minimal travel is required for this position (up to 20% of the time and on a domestic basis).</div><div></div><div><br>
The Friedkin Group and its affiliates are equal opportunity employers and maintain drug-free workplaces by conducting pre-employment drug testing.</div><div></div><p><br>
#LI-TW1</p></div></div></div>

Dev/Sec Ops Engineer

Baylor College of Medicine

<div><div><div><div><h2 class="jobSectionHeader"><b>Summary</b></h2></div><div><p>
We are seeking an innovative AI Engineer I to join our team at the Baylor College of Medicine and Texas Children's Hospital Data Science Center, where cutting-edge artificial intelligence meets healthcare delivery. This position offers a unique opportunity to collaborate and deploy AI/ML models that directly impact patient care and clinical workflows. You'll work at the intersection of multi-omics data, electronic health records, medical imaging, and clinical decision support systems.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Job Duties</b></h2></div><div><p>
AI/ML Model Development &amp; Deployment</p><ul><li>
Collaborates closely with clinical researchers, physicians, and engineering teams to design, build, and deploy machine learning models for healthcare applications.</li><li>
Assists in the development of AI-powered solutions spanning genomics analysis, EHR data mining, medical imaging interpretation, and diagnostic support systems.</li><li>
Supports robust ML pipelines from research prototypes to production-ready systems in clinical environments.</li><li>
Ensures models meet healthcare regulatory standards and maintain high performance in real-world clinical settings.</li></ul><p></p><p><br>
Technical Implementation</p><ul><li>
Assists in the design and implement scalable AI/ML architectures using modern frameworks (TensorFlow, PyTorch, scikit-learn).</li><li>
Documents data pipelines for processing complex clinical data from sources like Epic Clarity, REDCap, omics platforms, and medical imaging systems.</li><li>
Develops and maintains infrastructure for integrating multi-modal healthcare data (genomics, transcriptomics, proteomics, imaging, EHR).</li><li>
Optimizes model performance for deployment on various platforms including cloud infrastructure and edge devices.</li><li>
Integrates AI models with existing healthcare IT systems and electronic health records.</li></ul><p></p><p><br>
Research &amp; Innovation</p><ul><li>
Stays current with latest developments in healthcare AI, including applications in precision medicine, computer vision, and natural language processing.</li><li>
Collaborates on research publications and presentations at medical and technical conferences.</li><li>
Participates in grant proposals and collaborative research initiatives with clinical departments.</li><li>
Performs other job-related duties as assigned.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Minimum Qualifications</b></h2></div><div><ul><li>
Bachelor&rsquo;s degree in Computer Science, Statistics, Mathematics, or a related field or four years of relevant experience may substitute for degree requirement.</li><li>
No prior experience required with Bachelor&rsquo;s degree in Computer Science, Statistics, Mathematics, or a related field.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Department Specific Requirements</b></h2></div><div><ul><li>
Strong proficiency in Python programming with experience in ML/AI libraries (NumPy, pandas, scikit-learn, TensorFlow/PyTorch).</li><li>
Solid understanding of machine learning fundamentals including supervised/unsupervised learning, deep learning architectures, and model evaluation.</li><li>
Experience with ML model deployment and production systems.</li><li>
Familiarity with version control (Git) and collaborative development workflows.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Preferred Qualifications and Skills</b></h2></div><div><ul><li>
Background in genomics data processing, bioinformatics pipelines, or clinical informatics.</li><li>
Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).</li><li>
Experience working with large-scale omics datasets (RNA-seq, whole genome/exome sequencing, proteomics).</li><li>
Understanding of clinical workflows and electronic health record systems.</li><li>
Experience with medical imaging analysis or natural language processing for clinical text.</li></ul></div></div></div><p></p><p><b><br>
Work Authorization Requirement:</b></p><p><b>
This position is not eligible for visa sponsorship.</b> Candidates must be legally authorized to work in the United States at the time of application and throughout the duration of employment.</p><p></p><p><br>
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.</p></div>

Artificial Intelligence Engineer I

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