back-end software engineer Jobs in Houston

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data software engineer iii- ml

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front-end software engineer Jobs in Houston

front-end software engineer

back end software engineer

Foxconn Industrial Internet - FII

<div>Job Summary:
This role designs, develops, documents, tests, implements, and debugs new and existing software solutions for large-scale proprietary software for internal use. Serves as technical expert on development projects. Participates in full development life cycle including requirements analysis and design. Writes technical specifications based on conceptual design and stated business requirements. Supports, maintains, and documents software functionality. Identifies and evaluates new technologies for implementation. Analyzes components to find causes of errors and revise programs as needed. Analyzes user needs, system requirements and business processes to determine technical requirements. Consults with end user to prototype, refine, test, and debug components to meet needs.
Responsibilities:<ul><li>
10%, Analyzes user needs, system requirements and business processes.</li><li>
25%, Maintain the source code for existing software products, participate in code reviews, software design and development process.</li><li>
25%, Develop customized applications for company internal use.</li><li>
15%, Identify and debug source cause of issues.</li><li>
15%, Provide issue resolution through configuration or code changes.</li><li>
10%, Perform or support product installations, upgrades and updates.</li></ul>
Skills/Qualifications:<ul><li>
Proficient in ETL tool programing, debugging, maintenance, and monitoring.</li><li>
Proficient in SQL, Python, Kafka, Spark programing, debugging, maintenance, and monitoring.</li><li>
Database development using Kudu 1.10.0 and higher, or Hive 2.1.1 and higher.</li><li>
RESTful API&rsquo;s programmer candidates, at least 1 year of development experience.</li><li>
Advanced knowledge and experience with Linux (CentOS, RedHat, Ubuntu).</li><li>
Excellent communication, organization, and interpersonal skills.</li><li>
Excellent problem-solving skills with extreme attention to detail.</li><li>
Outstanding work ethic and commitment to individual and organizational success.</li><li>
Excellent analytical and advanced troubleshooting skills with end-users/clients.</li><li>
Ability to manage multiple tasks and projects, both independently and as part of a team.</li><li>
Demonstrated ability to learn new things and continuously drive process improvement.</li></ul>
Plus/Desired:<ul><li>
With Electronics manufacturing industry domain know-how.</li><li>
Experience with Git Repositories (GITLAB) or JIRA.</li><li>
Experience with HTML5, CSS3, JavaScript and use front-end code debugging tools such as Chrome.</li><li>
Experience with Tableau tool programing, debugging, maintenance, and monitoring.</li></ul>
Educational Requirements:<ul><li>
Bachelor&rsquo;s degree in IT related area, BS in Computer Science a plus.</li><li>
Any software programming certifications are a plus.</li></ul>
5YR2BPfupL</div>

Back-End Software Engineer

Persona AI

<div>Persona AI is developing and commercializing rugged, multi-purpose humanoid robots that perform real work. Persona&rsquo;s founding team has a decades-long history in humanoid robotics, bionics, and product development delivering robust hardware that has touched the stars, worked miles below the surface of the ocean, and even roamed Disney Parks. Our mission is focused squarely on shipping beautiful, reliable products at massive scale, while building a customer-focused team to achieve these aims.
Our Teleoperation Team bridges the gap between human intelligence and machine body &mdash; and the quality of that bridge is determined by data: how fast it moves, how reliably it arrives, and how accurately it represents what the robot is actually experiencing.
As our Real-Time Systems &amp; Robotics Integration Engineer, you own the machine side. You'll build the data transport infrastructure, hardware integration layers, and fleet monitoring systems that make real-time human-robot operation possible over imperfect, real-world networks. Latency isn't just a number to you &mdash; you understand that every added millisecond costs operator trust.
What You&rsquo;ll Build<ul><li>Low-latency, fault-tolerant data streaming pipelines over unreliable real-world transports &mdash; WiFi, cellular, and everything messy in between</li><li>Software that interfaces directly with hardware SDKs for robot sensing and control</li><li>Real-time pipelines integrating motion capture and hardware prototypes for human demonstration and training data capture</li><li>Monitoring, metrics, and alerting infrastructure that scales with a growing robot fleet</li><li>Web APIs and backend services for data collection, remote operation, and operational analytics</li><li>Embedded Linux software at the firmware boundary &mdash; going as deep into the stack as the latency problem requires</li></ul>
What We&rsquo;re Looking For<ul><li>5+ years in software engineering with a strong focus on systems, embedded, or robotics work</li><li>Strong Rust / C++ and solid Python for tooling, harnesses, and performance-critical systems code</li><li>Deep Linux experience, including embedded and firmware-level environments</li><li>Good networking fundamentals: TCP/IP, WiFi, cellular, BLE &mdash; and the debugging instincts to go with them</li><li>Familiarity with robotic control concepts: kinematics, 3D geometry, sensor integration</li><li>Solid open source chops: navigating complex dependencies, modifying codebases, contributing upstream</li><li>Bachelor's degree in Computer Science, Robotics, Electrical Engineering, or a related field</li><li>Strong ownership and communication skills; comfortable working at the hardware/software boundary</li></ul> 
Bonus Points<ul><li>Prior experience with Zenoh or comparable robotics middleware</li><li>Experience building telemetry or observability systems for physical hardware fleets</li><li>Familiarity with modern build systems like Nix or Bazel</li><li>Prior open source contributions, especially in systems or robotics tooling</li><li>Experience with motion capture systems or wearable sensor integration</li></ul> 
Why This Role
The hardest part of human-robot teleoperation isn't the robot or the interface &mdash; it's the invisible infrastructure that connects them. You'll own that layer end-to-end, with full access to the hardware stack and a tight partnership with the rendering engineer on the other side of the seam. The problems here are novel, the constraints are real, and the impact is direct.
Why join Persona AI?<ul><li>
You'll shape technology that's redefining the possibilities of robotics and human interaction.</li><li>
Work alongside passionate teammates who value diversity, creativity, and continuous learning.</li><li>
Enjoy full access to advanced prototyping tools, labs, and the freedom to experiment and innovate.</li><li>
We offer competitive compensation, excellent benefits, flexible work environment, and equity opportunities.</li></ul><h3 class="jobSectionHeader">
Persona AI embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe the more inclusive we are, the better our work will be.</h3></div>

Senior Systems & Robotics Engineer (Teleoperation)

CommonSpirit Health

<div>Job Summary and Responsibilities<div> 
As our Clinical Engineering Med Device Senior Network Engineer, you will lead regional Clinical Engineering network functions and responsibilities. 
 
Every day you will collaborate with the CE Medical Device Security Team on remediation solutions, guide other technicians on complex medical device projects, and manage vendor-related vulnerabilities. You'll also contribute to the design and support of the CE IT environment, provide specialized repair for medical equipment, and ensure end-to-end security measures are implemented and integrated using the latest technologies. 
 
To be successful in this role, you will be jointly responsible for enhancing the security of our medical devices, networks, and information, and for resolving complex technical and business issues related to medical device security.</div><ul><li>
All associated Job responsibilities of the Clinical Engineering Medical Device Network Engineer I and II.</li><li>
Responsible for achieving and maintaining compliance of Clinical Engineering&rsquo;s cybersecurity and vulnerability program Key Performance Indicators within the assigned region.</li><li>
Responsible for communication and coordination with market senior leadership regarding security or IT related projects associated with medical devices within the assigned region.</li><li>
Lead cybersecurity and remediation and IT related projects associated with medical devices within the assigned region.</li><li>
Mentor and train CE staff in the delivery of device remediation and vulnerability patching and documentation.</li><li>
Lead and coordinate efforts for medical device patching and updating of firmware and/or applications appropriate for the medical device.</li></ul> 

Job Requirements<div> 
Required</div><ul><li>
Bachelors Other HTM, Computer Science, Technology, Business discipline or equivalent professional experience, upon hire</li><li>
Minimum of 7 Years in Clinical Engineering Networking Role or equivalent experience</li><li>
Experience with HIPPA/ HITECH compliance Standards</li><li>
Valid Driver's License</li></ul><div> 
Preferred</div><ul><li>
Experience working with the software development life cycle or projectmanagement methodologies. Customer Service, Project Management,Strong Communication and Executive Level Presentation skills and relatedexperience.</li><li>
Certified Radiology Equipment Specialists, upon hire or</li><li>
CompTIA A+ Certification, upon hire or</li><li>
CompTIA Network +, upon hire</li></ul><div></div> 
Where You'll Work<div> 
Inspired by faith. Driven by innovation. Powered by humankindness. CommonSpirit Health is building a healthier future for all through its integrated health services. As one of the nation&rsquo;s largest nonprofit Catholic healthcare organizations, CommonSpirit Health delivers more than 20 million patient encounters annually through more than 2,300 clinics, care sites and 137 hospital-based locations, in addition to its home-based services and virtual care offerings. CommonSpirit has more than 157,000 employees, 45,000 nurses and 25,000 physicians and advanced practice providers across 24 states and contributes more than $4.2 billion annually in charity care, community benefits and unreimbursed government programs. Together with our patients, physicians, partners, and communities, we are creating a more just, equitable, and innovative healthcare delivery system.</div> 
Pay Range 
$53.46 - $79.52 /hour</div>

Sr Clinical Engineering Medical Device Network Engineer

Vitol

<div>Company Description 
Vitol is an energy and commodities company with revenues of $400 billion in 2023; its primary business is the trading and distribution of energy products globally &ndash; it trades over seven million barrels per day of crude oil and products and, at any time, has 250 ships transporting its cargoes.
Vitol&rsquo;s clients include national oil companies, multinationals, leading industrial companies and utilities. Founded in Rotterdam in 1966, today Vitol serves clients from some 40 offices worldwide and is invested in energy assets globally including 16mm3 of storage, 480kbpd of refining capacity, and 7,000 service stations. To date, we have committed over $2.5 billion of capital to renewable projects, and are identifying and developing low-carbon opportunities around the world. Learn more about us here.
This Role is located in Houston, TX - In office 5x a week 
Job Description 
As our portfolio of work continues to grow, we are looking for an experienced Machine Learning Engineer to join our data science and machine learning team. The individual will work closely with the data and machine learning specialists, software engineers and commercial teams to deliver machine learning models and applications. We work across the trading business, operations, and other support functions; so the individual will need to be comfortable working with a variety of stakeholders and technologies.
The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow: from working with business stakeholders to help define the project, to data collation and processing, exploratory analysis, model selection and tuning, and implementation of production models.
The successful candidate will join a team of experienced, collaborative practitioners, who are (pragmatically) solving some of the most challenging and impactful problems the energy industry is facing; as well as pushing the boundaries around the &lsquo;art of the possible&rsquo;.
Core Responsibilities include:<ul><li>
Design, develop, and deploy end-to-end machine learning and data science solutions across our wider business activities (including trading, operations, and support functions) - from raw data ingestion through to production-grade models and monitoring</li><li>
Drive adoption and development of the firm's internal GenAI chat platform as one of the technical leads, extending its capabilities through new integrations, data connectors, and domain-specific prompt engineering; work closely with trading desks and operational teams to identify high-value use cases, embed the tool into day-to-day workflows, and ensure outputs are robust, and trusted by end users.</li><li>
Apply a broad range of modelling techniques - including time-series forecasting, NLP, classification, and generative AI - to commodity pricing, supply/demand signals, trade flow analysis, and operational optimization problems</li><li>
Own the full data science lifecycle on assigned projects: data sourcing and cleaning, exploratory analysis, feature engineering, model selection and validation, deployment, and ongoing performance monitoring</li><li>
Build and maintain robust, well-tested, production-quality code; contribute to shared infrastructure including ML pipelines, data orchestration, and model serving layers</li><li>
Integrate ML and GenAI outputs into existing trading systems, dashboards, and workflows; work with software engineers to ensure reliable, scalable adoption across the business</li><li>
Communicate analytical findings and model outputs clearly to non-technical stakeholders; present results, assumptions, and limitations in a manner that supports confident commercial decision-making</li><li>
Actively participate in code reviews, experiment design, and tooling decisions; mentor colleagues and help raise the overall standard of analytical and engineering practice across the team</li></ul> 
Qualifications 
<ul><li>
Master&rsquo;s degree or equivalent in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field</li><li>
Fluency in Python for both data science and engineering purposes: clean, modular, well-documented code, with strong understanding of software engineering best practices including version control, testing, and code review</li><li>
5+ years of industry experience developing and deploying machine learning or statistical models, with a proven track record of delivering end-to-end solutions in production environments</li><li>
Demonstrable experience applying a broad range of ML methodologies (supervised and unsupervised learning, time-series modelling, NLP/LLMs, optimization) to real-world business problems</li><li>
Strong proficiency with ML frameworks (e.g. PyTorch, scikit-learn, Transformers) and experience building or consuming LLM-based pipelines and GenAI applications</li><li>
Experience with cloud platforms (AWS preferred) and modern MLOps practices: containerization (Docker/Kubernetes), CI/CD, data pipeline orchestration (e.g. Airflow, Dagster), and model serving</li><li>
Strong analytical and problem-solving ability: capable of defining and scoping open-ended problems, proposing sound methodological approaches, and defending modelling choices with rigorous reasoning</li><li>
Excellent written and verbal communication skills, with the confidence to present model outputs, caveats, and commercial implications clearly to non-technical audiences including traders and senior management</li><li>
Genuine intellectual curiosity about commodities markets, global energy flows, and the commercial dynamics of trading; willingness to develop domain knowledge as part of the role</li></ul>
Desirable Experience<ul><li>
Experience in the energy or commodities trading industry, with knowledge of financial markets and trading concepts</li><li>
Experience surfacing ML outputs through interactive tools (e.g. Dash, Streamlit, or similar) and presenting use cases to non-technical audiences, including traders and senior management</li><li>
Time-series modelling in a trading or financial context, including both ML-based and econometric approaches (e.g. ARIMA, cointegration, regime-switching models)</li><li>
Data orchestrators (Airflow, Dagster) and cloud-based ETL/ELT pipelines</li></ul> 
Additional Information 
Personal Characteristics<ul><li>
A self-motivated individual who thrives on seeing the results of their work make an impact in the business</li><li>
Pragmatic and delivery-focused: comfortable navigating ambiguity, balancing rigor with speed, and making sound judgements under uncertainty</li><li>
Methodical and detail-oriented: rigorous in experimental design, data validation, and code quality, with a disciplined approach to documenting assumptions and results</li><li>
Resourceful, able to think creatively and adapt in a dynamic environment</li><li>
Team player, with an open non-political style and a high level of integrity</li><li>
Desire to be a thought-partner in a fast-growing team, and make an impact at a business that sits at the heart of the world&rsquo;s energy flows</li></ul>
Work Environment<ul><li>
This job operates in a professional office environment. Because of the collaborative, fast-paced, and high energy nature of our business, Vitol requires team members to work from our fully-equipped office.</li></ul>
What we offer<ul><li>
Competitive salary and benefits package</li><li>
Large diversity of projects with real-world impacts on a truly global scale</li><li>
Entrepreneurial environment within a flat hierarchy, where great ideas come to life quickly</li><li>
Close collaboration with various business units across our key regions (eg. London, Singapore, Houston, Geneva)</li><li>
A highly motivated DS and ML team comprised of experienced individuals with a supportive attitude and great team spirit</li><li>
Being part of the energy transition through increased emphasis on renewable &amp; alternative energy sources at a pivotal moment in the industry</li><li>
Strong management commitment to incorporating machine learning into the future of Vitol&rsquo;s operations</li></ul>
All your information will be kept confidential according to EEO guidelines.</div>

Senior Machine Learning Engineer

NextEra Energy

<div>Requisition ID: 94545 
NextEra Energy Resources is one of America&rsquo;s largest wholesale electricity generators, harnessing diverse energy sources to power progress. We deliver tailored energy solutions that fuel economic growth, strengthen communities, and help customers achieve their energy goals. Ready to make a lasting impact? Take the next step in your career with us! 
Position Specific Description
We are seeking a highly skilled Back Office Principal Business Analyst with expertise in the Endur trading and risk management system. In this role, you will support post-trade processes by leveraging Endur to enhance operational efficiency and ensure accurate transaction settlements and month-end close. You will collaborate closely with Back Office stakeholders and IT partners to ensure Endur is used effectively in day-to-day operations. The ideal candidate brings strong Endur back-office experience, excellent analytical skills, and a solid understanding of commodity markets.
Responsibilities:<ul><li>
Provide Endur specific insights and analysis to optimize back-office operational processes and transaction settlements.</li><li>
Use Endur back-office modules (e.g., Accounting Desktop, DMS, Confirms and Settlement Desktop) to support settlements, accounting, and operational workflows.</li><li>
Ensure back-office processes and system usage align with applicable regulatory and compliance requirements.</li><li>
Gather and document business requirements from Back Office stakeholders, and translate them into Endur configurations and enhancements.</li><li>
Configure and customize Endur to meet Back Office operational needs.</li><li>
Monitor and analyze trading activity, positions, and market trends to provide actionable insights to the settlements team.</li><li>
Develop and maintain Endur reports and dashboards to support operational monitoring and decision-making.</li><li>
Train and support end users to ensure effective use of Endur in daily back-office operations.</li><li>
Maintain awareness of industry trends and best practices in utilities trading, risk management, and post-trade operations.</li><li>
Partner with IT and cross-functional teams to integrate Endur with upstream/downstream systems and to improve end-to-end back-office processes.</li></ul>
Preferred Requirements:<ul><li>
8+ years of experience in a back-office role within the utilities trading industry.</li><li>
Strong knowledge of the commodities business and the Endur trading and risk management system.</li><li>
Strong understanding of commodity and financial markets (e.g., power, gas, oil, environmental products, and interest rate swaps).</li><li>
Experience using Endur functionality such as Trading Explorer, Credit/Risk Manager, Market Explorer, Accounting Manager, Settlements and Confirms desktop, and Report Builder.</li><li>
Experience with eConfirms and Trade Vault reporting</li><li>
Exposure to Endur v19 or higher (preferred).</li><li>
Proficiency with data analysis and reporting tools.</li><li>
Strong analytical and problem-solving skills, with the ability to troubleshoot complex issues.</li><li>
Excellent communication and interpersonal skills, with the ability to collaborate effectively across Back Office and cross-functional teams.</li><li>
Ability to thrive in a fast-paced, dynamic trading environment</li></ul><div><div><div><h2 class="jobSectionHeader">
Job Overview</h2></div><div>
This job analyzes business processes and practices and identifies technology opportunities. Employees in this job design and implement information technology solutions to meet customer needs and business goals and strategies.</div></div><div><div><h2 class="jobSectionHeader">
Job Duties &amp; Responsibilities</h2></div><div><ul><li>
Demonstrates a strong familiarity with business processes that are in their area of business focus</li><li>
Establishes and manages effective customer relationships with users of business, financial and operations systems, as well as technical team members</li><li>
Applies advanced analytical skills within functional area to decompose work into manageable value-based units</li><li>
Responds to requests, identifies conflicts, and makes recommendations where needed</li><li>
Devises or modifies procedures to solve complex problems</li><li>
Uses knowledge of business processes to identify interdependencies and functional gaps</li><li>
Builds strong working understanding of the technical solution being delivered and analyzes and determines failure points in the solution</li><li>
Contributes to the application testing process (directly or to support end users)</li><li>
Creates and updates documentation, as appropriate, for selected project framework</li><li>
Maintains a familiarity with market trends in technology</li><li>
Performs other job-related duties as assigned</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Required Qualifications</h2></div><div><ul><li>
High School Grad / GED</li><li>
Bachelor&rsquo;s or Equivalent Experience</li><li>
Experience: 6+ years</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Preferred Qualifications</h2></div><div><ul><li>
None</li></ul></div></div></div> 
NextEra Energy offers a wide range of benefits to support our employees and their eligible family members. Click here to learn more. 
Employee Group: Exempt 
Employee Type: Full Time 
Job Category: Information Technology 
Organization: NextEra Energy Project Management, LLC 
Relocation Provided: Yes, if applicable 
NextEra Energy is an Equal Opportunity Employer. Qualified applicants are considered for employment without regard to race, color, age, national origin, religion, marital status, sex, sexual orientation, gender identity, gender expression, genetics, disability, protected veteran status or any other basis prohibited by law. 
NextEra Energy provides reasonable accommodation in its application and selection process for qualified individuals, including accommodations related to compliance with conditional job offer requirements, consistent with federal, state, and local laws. Supporting medical or religious documentation will be required where applicable and permitted by applicable law. To request a reasonable accommodation, please send an e-mail to recruiting-coordinator.sharedmailbox@nexteraenergy.com, providing your name, telephone number and the best time for us to reach you. 
NextEra Energy will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor&rsquo;s legal duty to furnish information. 
NextEra Energy does not accept any unsolicited resumes or referrals from any third-party recruiting firms or agencies. Please see our policy for more information.
#LI-JN2</div>

Principal Endur Business Systems Analyst - Back Office

MD Anderson Cancer Center

<div>The Data Engineer role is a pivotal position within the Enterprise Data Engineering &amp; Analytics Department, supporting the design, build, and operationalization of integrated data pipelines and analytics solutions that enable MD Anderson's digital business initiatives. The Data Engineer works across the Context Engine framework to deliver end-to-end data engineering solutions while partnering closely with Enterprise Data Engineering &amp; Analytics teams and other institutional stakeholders. 
The Data Engineer contributes to the mission of MD Anderson Cancer Center, a leading institution focused on cancer care, research, education, and prevention. In this role, the Data Engineer helps advance enterprise analytics capabilities by ensuring secure, governed, and reusable data assets that accelerate insights and improve time-to-solution across MD Anderson. 
Ideal Candidate Statement 
The ideal candidate for the Data Engineer role brings a bachelor's degree in computer science, preferred advanced education in analytics or computer science, hands-on experience building data pipelines in healthcare or research environments, and familiarity with modern cloud-based data platforms, hands-on use of Large Language Models (LLMs) in real-world projects, Python or Spark development, and analytics delivery. Epic data model exposure or certification and the ability to collaborate across technical and clinical teams are strongly preferred. 
Position Information 
Salary range based on a 40-hour work week: Minimum $106,500 - Midpoint $133,000 - Maximum $159,500 
Work location: Houston, Texas or surrounding area preferred 
 
This Data Engineer role offers the opportunity to contribute directly to MD Anderson's mission by enabling high-quality, governed data that supports clinical, research, and operational analytics across the institution. The position provides exposure to enterprise-scale data engineering initiatives, collaboration with experienced engineering and data science professionals, and opportunities for continued learning and career growth while supporting a balanced and sustainable work environment. 
<ul><li>Employer-paid medical coverage starting day one for employees working 30+ hours/week, plus optional group dental, vision, life, AD&amp;D, and disability insurance.</li><li>Accruals for PTO and Extended Illness Bank, plus paid holidays, wellness, childcare, and other leave options.</li><li>Tuition Assistance Program after six months of service and access to extensive wellness, fitness, and employee resource groups.</li><li>Defined-benefit pension through the Teachers Retirement System, voluntary retirement plans, and employer-paid life and reduced salary protection programs.</li></ul>
Responsibilities 
Data Engineering - End-to-End Solution Delivery 
<ul><li>Participate in end-to-end solution delivery that increases information capabilities and realizes data value across the institution</li><li>Build and test end-to-end data pipelines across ingestion, curation, transformation, modeling, and consumption within the Context Engine framework</li><li>Integrate data governance processes across data provenance, security, data quality, ontology, and metadata management</li><li>Participate in planning, architecture, analysis, design, and build of data pipelines in partnership with IS, Data Offices, and Data Governance teams</li><li>Contribute to existing data pipelines spanning acquisition, integration, and consumption for defined use cases</li></ul>
Data Curation, Modeling, and Governance 
<ul><li>Build data curation pipelines including profiling, specification creation, cleansing, transforming, standardizing, mastering, harmonizing, validating, and aggregating data</li><li>Monitor and support data quality across the Context Engine</li><li>Incorporate repeatable solution designs and data models to support reuse and scalability</li><li>Promote effective data management practices and understanding of analytics across the enterprise</li></ul>
Standards, Testing, and System Maintenance 
<ul><li>Adhere to IS division standard operating procedures and all MD Anderson policies</li><li>Maintain build standards and governance oversight sign-off aligned with institutional data strategy</li><li>Participate in documentation preparation for enhancements or new technology</li><li>Perform quality control, testing, and peer review of analytics builds</li><li>Support system updates, releases, change control processes, and after-hours support as required</li></ul>
Education, Training, and Collaboration 
<ul><li>Train data scientists, analysts, end users, and data consumers on data pipelining and preparation techniques</li><li>Assist in establishing training plans and curricula for Context Engine tools</li><li>Provide institutional, department, and one-on-one training on EDEA deliverables</li><li>Support liaison relationships with customers and OneIS partners to deliver effective technical solutions</li></ul>
Innovation and Continuous Improvement 
<ul><li>Explore and promote modern tools, techniques, and architectures to automate data preparation and integration tasks</li><li>Improve productivity by reducing manual and error-prone processes</li><li>Model OneIS values through integrity, partnership, quality, and continuous improvement</li></ul> 

EDUCATION 
<ul><li>
Required: Bachelor's Degree</li><li>
Preferred: Bachelor's in computer science, Master's degree Business Analytics, Computer Science, Information Technology, Data Science, or related.</li></ul> 

WORK EXPERIENCE 
<ul><li>
Required: 2 years Clinical, relevant healthcare information technology, or relevant business experience. or</li><li>
Required: With preferred degree, no experience required.</li><li>
May substitute required education with years of related experience on a one to one basis.</li><li>
Preferred: 3-5 years creating data pipelines in a healthcare research environment, experience building and maintaining analytical reports and dashboards, problem solving skills and ability to translate business/clinical requirements into reliable data models, analytics &amp; reporting- cloud data management solutions like Foundry, Fabric etc, data pipeline &amp; ETL development -hands on experience designing, building and maintaining pipelines using python/spark, hands-on use of Large Language Models (LLMs) in real-world projects, such as integrating generative AI solutions into applications, workflows, or analytics platforms. Candidates should be familiar with prompt engineering, model evaluation, and responsible AI practices. Experience collaborating with cross-functional teams to deploy and scale LLM-powered features is highly desirable.</li><li>
Preferred certifications: EPIC Cogito, Clarity, Caboodle, Clinical Data Model.
</li></ul> 
Work location: Prefer a candidate in Houston Texas or surrounding area. 
 
LICENSES AND CERTIFICATIONS 
<ul><li>
Required: EPIC - EPIC Certification Must obtain at least one Epic Data Model certification (Clinical, Access, or Revenue) issued by Epic. within 180 Days</li></ul> 

OTHER REQUIREMENTS: Must pass pre-employment skills test as required and administered by Human Resources.
 
 
The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition. 
 
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment. 
 
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state, or local laws unless such distinction is required by law.http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html 
 
Additional Information
 
<ul><li>Requisition ID: 179587
</li><li>Employment Status: Full-Time
</li><li>Employee Status: Regular
</li><li>Work Week: Days
</li><li>Minimum Salary: US Dollar (USD) 106,500
</li><li>Midpoint Salary: US Dollar (USD) 133,000
</li><li>Maximum Salary : US Dollar (USD) 159,500
</li><li>FLSA: exempt and not eligible for overtime pay
</li><li>Fund Type: Hard
</li><li>Work Location: Remote (within Texas only)
</li><li>Pivotal Position: Yes
</li><li>Referral Bonus Available?: No
</li><li>Relocation Assistance Available?: No
</li></ul> 
#LI-Remote</div>

Data Engineer - Enterprise Data Engineering & Analytics

Oceaneering

<div>Are you passionate about solving complex problems? Join our dynamic team as a Spacecraft Software Test Engineer and become a vital contributor to support NASA as an Oceaneering Teammate on the JSC Engineering, Technology, and Science (JETS) II contract. As an integral part of our organization, you'll play a crucial role in the Software Engineering II and Development Ops section in the Engineering Department on the NASA JSC Engineering, Technology and Science II (JETS II) Contract . 
This role will give you the opportunity to immerse yourself in the thrilling world of human spaceflight and deep space exploration programs. Your contributions will ensure that our services not only meet - but outperform all standards and expectations. As a Spacecraft Software Test Engineer , you'll find yourself at the forefront of innovation, collaborating with a passionate team who shares your dedication to excellence. If you're seeking to immerse yourself in an environment where your skills and expertise will make a genuine impact, we invite you to join our team! 
We are seeking someone with a keen eye for detail, a strong commitment to owning their work, and providing superior quality. You should be a person who thrives in a diverse environment and who is comfortable communicating at all levels of the organization. To be successful in this role, you should have a sense of genuine, engaging curiosity, and a desire for growth and continuous learning. 
Someone in this role would typically have a Bachelor&rsquo;s degree in Engineering and a two (2) years of experience . This position can be hired at any level in our professional career framework, depending on business need at the time of hire. 
**International travel may be required. Straight time overtime, 9/80 work schedule (every other Friday off), and/or 1 day of telework per week may be available**</div>
 <div>Required 
<ul><li>Typically requires a bachelor's degree in Engineering and a minimum of 2- 5 years of experience in the field or in a related area.
</li><li>Strong C programming skills with hands ‑ on experience within the last 2 years.
</li><li>Proficiency developing and debugging C in a Linux environment.
</li><li>Strong Python development experience within the last 2 years.
</li><li>Ability to decompose system requirements into software requirements and develop traceability.
</li><li>Experience writing software to integrate GFE and contractor ‑ supplied modules.
</li><li>Experience performing software interface analysis, integration testing, and verification.
</li><li>Familiarity with IDE tools and web ‑ based collaboration platforms.
</li><li>Strong communication, coordination, and customer ‑ facing skills.
</li><li>Ability to work both independently and within a team environment with agile software development practices.
</li><li>Experience with system and software configuration management.
</li><li>Strong time ‑ management skills with the ability to manage multiple priorities. 
</li></ul>Preferred 
<ul><li>Experience with Unit or Integration System Software Testing
</li><li>Background working with embedded processors.
</li><li>Experience with VxWorks RTOS.
</li><li>Familiarity with data ‑ driven architectures.
</li><li>Experience with Core Flight System (cFS) or similar flight software frameworks.
</li><li>Knowledge of NASA NPR 7150.2, DO ‑ 178C, and NASA ‑ STD ‑ 8739.8 for safety ‑ critical software.
</li><li>Experience developing and testing safety ‑ critical software within an Integrated Product Team.
</li><li>Full life ‑ cycle software development experience.
</li><li>Experience with collaboration tools such as GitLab, JIRA, and Confluence.
</li><li>Strong organizational skills, self ‑ motivation, and ability to manage multiple priorities with minimal supervision. 
</li></ul>Proof of U.S. Citizenship or US Permanent Residency is a requirement for this position.
 
Must be able to complete a U.S. government background investigation.
 
Management has the prerogative to select at any level for which the position is advertised. 
 
Requires working indoors in environmentally controlled conditions
 
Job tasks are performed in close physical proximity to other people 
 
All qualified candidates will receive consideration for all positions without regard to race, color, age, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, veteran status, disability, genetic information, or other non-merit factors.</div>
 <div>The Spacecraft Software Test Engineer will:
<ul><li>Support NASA&rsquo;s deep ‑ space exploration programs by developing, integrating, and verifying spacecraft software used across vehicle systems. The role focuses on decomposing system ‑ level requirements into software requirements, building and testing C ‑ based interfaces between government ‑ furnished equipment (GFE) and contractor ‑ supplied modules, and ensuring software performance through rigorous verification and documentation. This engineer serves as a software subject ‑ matter expert within an integrated product team, contributing to the full software development life cycle and supporting mission ‑ critical testing for human ‑ rated spaceflight systems.
</li><li>Perform other duties as required.</li></ul></div>

Spacecraft Software Test Engineer

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