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senior data engineer

WhiteWater Express Car Wash

<div>Senior Data Engineer
Note: Position is not eligible for visa sponsorship. 
 
At WhiteWater Express, we are more than just a car wash; we are a company built on respect, communication, and a passion for people. Our dedicated team members are leaders within the company, and we believe that personal growth is the key to our organizational success. If you are a self-starter, motivated, and ready to take on new challenges, we want you to succeed with us, as a part of a rapidly growing business. 
 
Location: 106 Vintage Park Blvd. Houston, TX 77070
Position Overview
We&rsquo;re looking for a Full-Stack Software Engineer who thrives at the intersection of software development and data engineering and is excited to build technology that drives real-world impact. In this role, you&rsquo;ll take ownership of designing and developing end-to-end systems that automate workflows, integrate business processes, and power data-informed decision-making across a fast-growing, multi-location organization.
From creating internal workflow tools and customer-facing checkout experiences to building APIs and ETL pipelines that seamlessly sync on-site MySQL databases with our Snowflake data warehouse, your work will directly improve operational efficiency, scalability, and the foundation for long-term growth through smart, integrated technology.
Key Responsibilities<ul><li>
Design and develop full-stack applications using Python, PHP, Node.js, JavaScript.</li><li>
Build and maintain ETL pipelines to integrate and transform data across multiple systems using tools such as DBT etc.</li><li>
Develop and manage APIs to support system and data integrations</li><li>
Administer and optimize Snowflake, MySQL, and SQL Server databases</li><li>
Orchestrate and monitor data workflows using tools such as Airflow or similar platforms</li><li>
Maintain and support off-the-shelf software solutions</li><li>
Implement role-based access controls and data security best practices</li><li>
Collaborate with Data Analysts to optimize reporting and data accessibility</li><li>
Manage code repositories using Git and participate in CI/CD workflows</li><li>
Leverage cloud environments including AWS, Google Cloud, Azure, or DigitalOcean</li><li>
Troubleshoot technical issues and provide support to internal stakeholders</li><li>
Stay current with emerging technologies and continuously improve systems</li></ul>
Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related field or 8+ years of hands-on software engineering experience</li><li>
Strong proficiency designing and maintaining ETL pipelines</li><li>
Deep understanding of database management, SQL optimization, data analytics and data warehousing</li><li>
Experience with PHP, Node.js, JavaScript, Python, and C#</li><li>
Experience with frameworks such as Laravel, Express.js, or WordPress</li><li>
Familiarity with cloud computing platforms (AWS, GCP, Azure)</li><li>
Knowledge of API design, CI/CD pipelines, Git version control, and Agile methodologies</li><li>
Strong problem-solving skills and ability to manage multiple priorities</li><li>
Excellent communication skills and ability to collaborate cross-functionally</li></ul>
Benefits<ul><li>
Comprehensive Health Benefits (Medical, Dental &amp; Vision)</li><li>
Paid Time Off in addition to Company Paid Holidays</li><li>
401(k) Retirement Plan with Company Match</li><li>
Company-Paid Life Insurance</li><li>
Pathways to Advancement</li><li>
Free Weekly Car Washes</li></ul>
Our employees are our most valuable asset. We only employ the best people in the service industry who embrace new challenges with enthusiasm. If you are looking for professional development with advancement opportunities in a fast-growing organization, come join our Team! 

85LCfLx9R5</div>

Senior Data Engineer

Shaw Systems Associates

<div>Summary/Objective 

Shaw Systems is a national software development company that has an established record of solid financial performance and an excellent reputation for providing quality products. 


A perfect candidate is one that likes automating tedious tasks, create safety guards from mistakes being made, prefers simplifying problems instead of overcomplicating things, being proactive instead of reactive, mindfully accepting tech-debt, and, most importantly, working as a team. The Senior DevOps Engineer is responsible for building, maintaining, and deploying infrastructure and applications using automation and orchestration throughout the entire software development lifecycle. 
Responsibilities 
 
 
<ul><li>Develops and deploys infrastructure as code using automation and orchestration tools in cloud environments.</li>
<li>Builds CI/CD pipelines while incorporating automated testing and vulnerability scanning for hosted and containerized applications.</li>
<li>Establish, maintain, and evolve robust CI/CD pipelines with technologies like Bitbucket, Maven, Jenkins, Ansible and Terraform.</li>
<li>Monitors CI/CD builds while analyzing trends and making performance improvements to build times.</li>
<li>Build, scale, and secure critical applications on multiple cloud-native architectures using tools like Terraform, Kubernetes, and Docker.</li>
<li>Manage incidents and outages within the application and handle production support in general.</li>
<li>Responsible for building update and upgrade packages and installation of the packages for hosted clients and delivering the packages to the licensed clients.</li>
<li>Support and maintenance of all daily builds and internal sites.</li>
<li>Support of all product servers to ensure acceptable tech stacks and resources are in place.</li>
<li>Work closely with our Architects, Engineers, Product Owners and Application Leads to engineer and build automated solutions.</li>
<li>Work with the development team to deploy and manage tools that support SDLC automation, configuration management and release management.</li>
</ul>
Requirements
<ul>
<li>7+ years&rsquo; experience in a DevOps or Software/Systems engineering role in a Cloud environment</li>
<li>Working experience with CD/CI tools (Jenkins, etc.)</li>
<li>Working experience with container services such as Docker and Kubernetes</li>
<li>Working experience with build tools (Ant, Maven, Gradle)</li>
<li>Working Experience leveraging infrastructure as code and infra-automation tools such as Terraform</li>
<li>Working experience with config management (Ansible, Chef, Puppet, etc.)</li>
<li>Working experience with source management (GitHub, Bit Bucket, GitLab)</li>
<li>Working experience with deploy artifacts such as Artifactory</li>
<li>Prior experience with Structured Query Language (SQL) and relational database such as SQL Server</li>
<li>Experience in cross-platform scripting languages and build tools (ANT, Groovy, PowerShell, Python, Angular, etc.).</li>
<li>Experience with more than one cloud platform (Azure, AWS, Google Cloud, etc.)</li>
<li>Experience troubleshooting software upgrades and installs</li>
<li>Experience supporting tech stack Windows, Java, SQL Server, JBoss or TC server, RabbitMQ</li>
<li>Must work well under pressure to meet ongoing and overlapping deadlines within short time constraints</li>
<li>After hours support and additional peak time support may be necessary</li>
</ul>
Preferred Skills
<ul>
<li>Related Cloud Certifications.</li>
<li>Running Docker containers on Kubernetes (EKS) and Istio.</li>
<li>Monitoring production services using tools (Azure App Insights, Datadog, Splunk, AppDynamics, Prometheus and PagerDuty.)</li>
</ul><ul><li>Linux/Unix experience a plus.</li></ul> 


Education / Certifications
<ul>
<li>Bachelor&rsquo;s degree or the equivalent in experience in Engineering, Computer Science, or related field.</li></ul> 


Location 
This position may work from any of the following locations: Hybrid office schedule if within 75 miles of the Houston office. Remote with the ability to travel at least 5% from the following states: Texas if more than 75 miles from the office location, Virginia, Florida, Georgia, Idaho, Louisiana, Michigan, New Jersey, Minnesota, North Carolina, Pennsylvania, and Utah.

** Shaw Systems employees are not authorized to work in any state not listed above or outside of the US without specific written permission from their direct manager and approval from the Information Security Office.** 
Supervisory Responsibility 


None 
Work Environment and Physical Demands 


This is a full-time position. Days of work are Monday through Friday. The daily schedule may vary from 7 am &ndash; 4 pm, 8 am &ndash; 5 pm or 9 am &ndash; 6 pm, and occasional afterhours or weekend work may be required. Hours may vary or exceed 40 in any given week depending on the needs of the business. 
Travel 


Limited travel (up to 10%) is expected for this position.</div>

Senior Dev Ops Engineer

Shell

<div>Texas, United States of America 
 
Job Family Group:
Information Technology (IT) 
 
Worker Type:
Regular 
 
Posting Start Date:
June 11, 2026 
 
Business Unit:
Projects and Technology 
 
Experience Level:
Experienced Professionals 
 
Job Description:
What&rsquo;s the role
Shell is seeking a Sr. AI &amp; Data Engineer &ndash; Trading Analytics (also known internally as Data Engineering Lead) to join its team in Houston, TX. This role is ideal for an AI Engineer with a strong foundation in data engineering who can design and deliver AI-driven front-office analytics and GenAI/agentic solutions, collaborating closely with traders and trading analysts.
Shell Trading &amp; Supply is one of the world&rsquo;s leading energy and commodity trading organizations, operating across crude, refined products, gas, LNG, power, and environmental products. Trading sits at the heart of Shell&rsquo;s energy transition, requiring rapid, data‑driven decision making under complex market conditions. Within Trading &amp; Supply, the Crude &amp; Products business plays a critical commercial role, operating in highly regulated, fast‑moving markets where high‑quality analytics, data engineering, and AI are key competitive differentiators. Our focus is to deliver secure, reliable, and trader‑centric digital solutions that simplify workflows, enhance insight, and drive commercial value without compromising risk, safety, or controls.
As a Sr. AI &amp; Data Engineer in Trading Analytics, you will work directly with front‑office teams to design, build, and productionize AI‑driven analytics over market pricing and fundamental data. You will combine Databricks‑based data engineering, statistical and econometric techniques, and modern GenAI/agentic workflows to deliver insight at speed. This is a hands‑on individual contributor role with a strong bias toward practical delivery. You will operate in a high‑touch, hybrid model, iterating rapidly with users on‑desk, while engineering solutions to production‑grade standards using modern CI/CD and governance practices. Also, this role is rapid prototyping, iterative learning, and incremental production hardening, balanced with adherence to engineering, security, and governance frameworks to maintain speed and reliability.
Accountabilities:
Front‑Office Analytics &amp; Insight
<ul><li>Design, build, and deliver AI‑driven analytics for traders and analysts, including seasonality analysis, correlation studies, regression models, forecasting, and scenario modelling over market pricing and fundamentals data
</li><li>Work closely with traders and analysts to translate ambiguous business questions into clear analytical problem statements and working solutions
</li><li>Clearly communicate analytical outputs and AI‑generated insights to commercial stakeholders in a concise and actionable manner
</li></ul>Data Engineering &amp; Platforms
<ul><li>Build and maintain scalable, reusable data pipelines on Databricks using PySpark/Spark, SQL, Delta Lake, and Unity Catalog
</li><li>Support ingestion, modelling, and transformation of large‑scale time‑series pricing and fundamentals datasets
</li><li>Optimize pipelines for performance, reliability, and cost efficiency, following platform and data governance standards
</li></ul>AI, GenAI &amp; Agentic Solutions
<ul><li>Build and enhance GenAI and agent‑based solutions to support trading analytics, including:
<ul><li>Retrieval‑Augmented Generation (RAG)
</li><li>Prompt engineering
</li><li>Agent orchestration using frameworks such as LangGraph
</li><li>Tool calling and guardrails
</li></ul></li><li>Integrate LLM‑based workflows with structured trading and market data to augment analysis, insight generation, and decision support
</li><li>Prototype solutions quickly, gather user feedback, and help harden selected use cases for production deployment
</li></ul>Production, Quality &amp; Operations
<ul><li>Contribute to production‑ready analytics and AI solutions with testing, documentation, versioning, and basic observability
</li><li>Follow established CI/CD and DevOps practices, including use of Git‑based workflows and automated testing
</li><li>Support governance requirements such as PII handling, data lineage, and auditability in line with Trading &amp; Supply standards
</li></ul>What you bring
<ul><li>Must have legal authorization to work in the US on a full-time basis for anyone other than current employer
</li><li>Bachelor&rsquo;s degree or equivalent relevant years of experience
</li><li>At least 7 years of relevant experience
</li><li>Hands‑on experience with Databricks and/or Spark (PySpark, SQL, Delta Lake; Unity Catalog desirable)
</li><li>Proven data engineering skills, including pipeline development, data modelling, and performance optimization
</li><li>Solid foundation in statistics, econometrics, or data science, with experience applying these techniques to time‑series or market‑style datasets
</li><li>Practical experience building or contributing to LLM‑based solutions, including prompt engineering and retrieval‑based approaches
</li><li>Familiarity with GenAI frameworks and tooling (e.g., LangGraph or similar orchestration patterns)
</li><li>Experience working in collaborative engineering teams using Git and CI/CD pipelines
</li><li>Strong communication skills and the ability to work directly with analysts, traders, and other business stakeholders
</li></ul>Additional Preferred Qualifications
<ul><li>Exposure to commodity or financial trading environments
</li><li>Understanding of market fundamentals, supply‑demand dynamics, or risk concepts
</li><li>Experience with MLflow, feature stores, or vector databases
</li><li>Familiarity with working in regulated or risk‑sensitive environments
</li></ul>What we offer
The base salary range for this position is $149,000 - $223,000 per year . Individual pay will be based on various factors, such as relevant work experience, education, certifications, skill level, seniority, and internal equity.
For regular full-time or regular part-time employees of the Company (participating companies as listed in the Summary Plan Description), insurance coverage options include medical, dental, vision coverage, life Insurance, Business Travel Accident Insurance, and Occupational Accidental Death Benefit programs. Employees also participate in a company pension plan and a 401(k) plan. Paid leave includes up to 6 weeks of paid vacation time, up to 11 paid holidays, and parental leave offering 16 weeks of paid leave for birthing parents, and 8 weeks of paid leave for non-birthing parents.
Additionally, employees are eligible for short-term disability leave for up to 26 weeks at 100% or 50% of base pay as well as Long-Term Disability insurance. Shell also offers other compensation such financial reimbursement for adoption, wellness, education, and personal learning expenses, and some roles are eligible for discretionary long-term incentives. For interns, eligible benefits include medical, dental, and vision coverage, life insurance, Business Travel Accident Insurance, and Occupational Accidental Death Benefit programs; participation in a 401(k) plan; and paid leave for up to 11 paid holidays. Additional information on Shell&rsquo;s US benefit programs can be found at https://www.shell.us/careers/about-careers-at-shell/rewards-and-benefits.html .
You bring your skills and experience to Shell and in return you work with talented, committed people on one of the most important challenges facing our planet. You&rsquo;ll have the opportunity to develop the skills you need to grow in an environment where we value honesty, integrity, and respect for one another. You&rsquo;ll be able to balance your priorities as you become the best version of yourself.
<ul><li>Progress as a person as we work on the energy transition together
</li><li>Continuously grow the transferable skills you need to get ahead
</li><li>Work at the forefront of technology, trends, and practices
</li><li>Collaborate with experienced colleagues with unique expertise
</li><li>Achieve your balance in a values-led culture that encourages you to be the best version of yourself
</li><li>Benefit from flexible working hours, and the possibility of remote/mobile working
</li><li>Perform at your best with a competitive starting salary and annual performance related salary increase &ndash; our pay and benefits packages are considered to be among the best in the world.
</li><li>Take advantage of paid parental leave, including for non-birthing parents
</li><li>Join an organization working to become one of the most diverse and inclusive in the world. We strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientation, and life experiences to apply
</li><li>Grow as you progress through diverse career opportunities in national and international teams
</li><li>Gain access to a wide range of training and development programs
</li></ul>We'd like you to know that Shell has a bold goal: to become one of the world&rsquo;s most diverse and inclusive companies. .
Shell in The United States
Shell has been in the US for more than 100 years, leading the sector in energy, petrochemicals and refined products. Today, we provide millions of Americans with the energy needed to heat and cool their homes and power the economy.
We operate in all 50 states, from our Deepwater platforms in the Gulf of America to the Pennsylvania Chemicals complex and our miles of pipelines throughout the US.
We reach our customers through our 13,000 branded retail stations, and we are number 1 in gasoline sales. We also own the #1 brand of motor oil in the U.S. &ndash; Pennzoil&reg; &ndash; made from natural gas.
We are excited to play a key role in the move to net carbon emissions while providing the oil and gas needed by society for many decades to come.
<ul><li>- 
</li></ul> 
DISCLAIMER:
Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Shell/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. Shell participates in E-Verify. All qualified applicants will receive consideration for employment without regard to race, color, sex, national origin, age, religion, disability, sexual orientation, gender identity, protected veteran status, citizenship, genetic information or other protected status under federal, state or local laws. Shell is an Equal Opportunity Employer - Minorities/Females/Veterans/Disability. As a US Federal Contractor, hiring selections are subject to periodic audit review and documentation of your selections should be maintained for a period of three calendar years. It is the policy of Shell in the U.S. (&ldquo;Shell&rdquo;) to provide equal opportunity to all individuals, employees and all qualified applicants for employment consistent with employment requirements and qualifications. Shell prohibits discrimination based on race, color, sex, national origin, age, religion, disability, sexual orientation, gender identity, veteran status, citizenship, genetic information, or other protected status under federal, state or local laws. All employees are expected to support this policy and contribute to an environment of equal opportunity. If you need an accommodation for a disability during the resourcing process, please speak with an HR representative.</div>

Sr. AI & Data Engineer–Trading Analytics

Eli Lilly

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.
 
At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our 40,000 employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.
 Lilly is currently constructing an advanced manufacturing facility for production of API molecules located in Houston, TX. This facility is intended to provide APIs for current and future products, including new modalities. This is a unique opportunity to be a part of the site technical team for the startup of a greenfield manufacturing site, and the successful candidate will help to build the Processes, the facility and the culture to enable a successful startup into GMP manufacturing operations.
 
Responsibilities: 
The Sr. Principal Automation Engineer – Small Molecule is a senior automation position that will lead the design and delivery of the DeltaV platform and associated software integration teams as part of Lilly’s manufacturing expansion. This role is intended to lead one or more project workstreams for the automation DCS function including design, scheduling, staffing, and qualification in the Drug Substance (Active Pharmaceutical Ingredient) network.
 During the design and delivery (startup expected 2029 to 2030) of the project this role will be integrated into the corporate delivery team leading one or more workstreams on the design, delivery, and startup of drug substance manufacturing focusing on Small Molecule. This role will collaborate with A&E firms, system integrators, corporate and site engineering peers, and Tech@Lilly (Lilly’s corporate IT team) develop and manage the DeltaV DCS system and software design, testing, startup, and qualification.
 The Sr. Principal Automation Engineer is a site-based position but will be closely integrated with Lilly’s Corporate Automation Team GPACE. GPACE (Global Process Automation & Control Engineering) provides automation, measurement, and process control solutions to Lilly manufacturing as well as a technical resource for training, standards, and capital project delivery.
 Post project delivery, this role will support GMP manufacturing operations in small molecule or oligonucleotides. This will require significant collaboration, creativity and resilience as the site grows to a full scale GMP manufacturing through start up.
 
Key Deliverables: 
<ul>
<li>Champion a strong safety culture, mentor and coach others, and utilize engineering and automation fundamental principles in design and problem solving.</li>
<li>Collaborate with Lilly engineering, A&E firms, and system integrators to develop requirements and specifications that will be the foundation for software development and system architecture.</li>
<li>Manage one or more system integrators for fully deliver and test DeltaV software.</li>
<li>Collaborate with Tech@Lilly to deliver a fully integrated Automation/MES solution that is scaled for the needs of business.</li>
<li>Participate in basic and detailed design that also includes staffing, statements of work, supplier management, and delivery strategies for automation systems.</li>
<li>Participate in developing computer system validation strategies.</li>
<li>Develop and build capabilities within the Houston site automation team.</li>
<li>Develop site procedures for automation platforms and associated administration activites.</li>
<li>Provide engineering support for Process Safety Management (PSM) and Process Hazard Reviews (PHRs).</li>
<li>Provide technical oversight during development of equipment and process system User Requirements and related Design Review/Qualification documentation to ensure equipment and systems are appropriate for intended purpose.</li>
</ul>
Basic Qualifications: 
<ul>
<li>Bachelor’s degree in engineering or related applicable discipline required.</li>
<li>5+ years of experience Process Automation with experience on the Emerson DeltaV Platform preferred. Other platform experience will be considered.</li>
<li>5+ years of experience in API/Drug Substance manufacturing preferred. Related manufacturing experience will be considered.</li>
<li>Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization or visas for this role, including but not limited to F-1 CPT, F-1 OPT, F-1 STEM OPT, J-1, H-1B, TN, O-1, E-3, H-1B1, or L-1.</li>
</ul>
Additional Skills/Preferences: 
<ul>
<li>Technical knowledge in process instrumentation.</li>
<li>Batch control.</li>
<li>Strong analytical and critical thinking skills.</li>
<li>Ability to collaborate with others.</li>
<li>Ability to influence.</li>
<li>Technical knowledge on the utilization of data historians.</li>
<li>Experience with system integration including MES.</li>
</ul>
Additional Information: 
<ul>
<li>Potential for travel (less than 20% - could be domestic and/or international).</li>
</ul>
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
 
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
 
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women’s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
 
Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is
 $66,000 - $171,600
 
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
 
#WeAreLilly

Sr. Principal - Engineer - Automation (Small Molecule)

Shell Energy Retail

<div>Texas, United States of America 
 
Job Family Group:
Information Technology (IT) 
 
Worker Type:
Regular 
 
Posting Start Date:
June 11, 2026 
 
Business Unit:
Projects and Technology 
 
Experience Level:
Experienced Professionals 
 
Job Description:
What&rsquo;s the role
Shell is seeking a Sr. AI &amp; Data Engineer &ndash; Trading Analytics (also known internally as Data Engineering Lead) to join its team in Houston, TX. This role is ideal for an AI Engineer with a strong foundation in data engineering who can design and deliver AI-driven front-office analytics and GenAI/agentic solutions, collaborating closely with traders and trading analysts.
Shell Trading &amp; Supply is one of the world&rsquo;s leading energy and commodity trading organizations, operating across crude, refined products, gas, LNG, power, and environmental products. Trading sits at the heart of Shell&rsquo;s energy transition, requiring rapid, data‑driven decision making under complex market conditions. Within Trading &amp; Supply, the Crude &amp; Products business plays a critical commercial role, operating in highly regulated, fast‑moving markets where high‑quality analytics, data engineering, and AI are key competitive differentiators. Our focus is to deliver secure, reliable, and trader‑centric digital solutions that simplify workflows, enhance insight, and drive commercial value without compromising risk, safety, or controls.
As a Sr. AI &amp; Data Engineer in Trading Analytics, you will work directly with front‑office teams to design, build, and productionize AI‑driven analytics over market pricing and fundamental data. You will combine Databricks‑based data engineering, statistical and econometric techniques, and modern GenAI/agentic workflows to deliver insight at speed. This is a hands‑on individual contributor role with a strong bias toward practical delivery. You will operate in a high‑touch, hybrid model, iterating rapidly with users on‑desk, while engineering solutions to production‑grade standards using modern CI/CD and governance practices. Also, this role is rapid prototyping, iterative learning, and incremental production hardening, balanced with adherence to engineering, security, and governance frameworks to maintain speed and reliability.
Accountabilities:
Front‑Office Analytics &amp; Insight
<ul><li>Design, build, and deliver AI‑driven analytics for traders and analysts, including seasonality analysis, correlation studies, regression models, forecasting, and scenario modelling over market pricing and fundamentals data
</li><li>Work closely with traders and analysts to translate ambiguous business questions into clear analytical problem statements and working solutions
</li><li>Clearly communicate analytical outputs and AI‑generated insights to commercial stakeholders in a concise and actionable manner
</li></ul>Data Engineering &amp; Platforms
<ul><li>Build and maintain scalable, reusable data pipelines on Databricks using PySpark/Spark, SQL, Delta Lake, and Unity Catalog
</li><li>Support ingestion, modelling, and transformation of large‑scale time‑series pricing and fundamentals datasets
</li><li>Optimize pipelines for performance, reliability, and cost efficiency, following platform and data governance standards
</li></ul>AI, GenAI &amp; Agentic Solutions
<ul><li>Build and enhance GenAI and agent‑based solutions to support trading analytics, including:
<ul><li>Retrieval‑Augmented Generation (RAG)
</li><li>Prompt engineering
</li><li>Agent orchestration using frameworks such as LangGraph
</li><li>Tool calling and guardrails
</li></ul></li><li>Integrate LLM‑based workflows with structured trading and market data to augment analysis, insight generation, and decision support
</li><li>Prototype solutions quickly, gather user feedback, and help harden selected use cases for production deployment
</li></ul>Production, Quality &amp; Operations
<ul><li>Contribute to production‑ready analytics and AI solutions with testing, documentation, versioning, and basic observability
</li><li>Follow established CI/CD and DevOps practices, including use of Git‑based workflows and automated testing
</li><li>Support governance requirements such as PII handling, data lineage, and auditability in line with Trading &amp; Supply standards
</li></ul>What you bring
<ul><li>Must have legal authorization to work in the US on a full-time basis for anyone other than current employer
</li><li>Bachelor&rsquo;s degree or equivalent relevant years of experience
</li><li>At least 7 years of relevant experience
</li><li>Hands‑on experience with Databricks and/or Spark (PySpark, SQL, Delta Lake; Unity Catalog desirable)
</li><li>Proven data engineering skills, including pipeline development, data modelling, and performance optimization
</li><li>Solid foundation in statistics, econometrics, or data science, with experience applying these techniques to time‑series or market‑style datasets
</li><li>Practical experience building or contributing to LLM‑based solutions, including prompt engineering and retrieval‑based approaches
</li><li>Familiarity with GenAI frameworks and tooling (e.g., LangGraph or similar orchestration patterns)
</li><li>Experience working in collaborative engineering teams using Git and CI/CD pipelines
</li><li>Strong communication skills and the ability to work directly with analysts, traders, and other business stakeholders
</li></ul>Additional Preferred Qualifications
<ul><li>Exposure to commodity or financial trading environments
</li><li>Understanding of market fundamentals, supply‑demand dynamics, or risk concepts
</li><li>Experience with MLflow, feature stores, or vector databases
</li><li>Familiarity with working in regulated or risk‑sensitive environments
</li></ul>What we offer
The base salary range for this position is $149,000 - $223,000 per year . Individual pay will be based on various factors, such as relevant work experience, education, certifications, skill level, seniority, and internal equity.
For regular full-time or regular part-time employees of the Company (participating companies as listed in the Summary Plan Description), insurance coverage options include medical, dental, vision coverage, life Insurance, Business Travel Accident Insurance, and Occupational Accidental Death Benefit programs. Employees also participate in a company pension plan and a 401(k) plan. Paid leave includes up to 6 weeks of paid vacation time, up to 11 paid holidays, and parental leave offering 16 weeks of paid leave for birthing parents, and 8 weeks of paid leave for non-birthing parents.
Additionally, employees are eligible for short-term disability leave for up to 26 weeks at 100% or 50% of base pay as well as Long-Term Disability insurance. Shell also offers other compensation such financial reimbursement for adoption, wellness, education, and personal learning expenses, and some roles are eligible for discretionary long-term incentives. For interns, eligible benefits include medical, dental, and vision coverage, life insurance, Business Travel Accident Insurance, and Occupational Accidental Death Benefit programs; participation in a 401(k) plan; and paid leave for up to 11 paid holidays. Additional information on Shell&rsquo;s US benefit programs can be found at https://www.shell.us/careers/about-careers-at-shell/rewards-and-benefits.html .
You bring your skills and experience to Shell and in return you work with talented, committed people on one of the most important challenges facing our planet. You&rsquo;ll have the opportunity to develop the skills you need to grow in an environment where we value honesty, integrity, and respect for one another. You&rsquo;ll be able to balance your priorities as you become the best version of yourself.
<ul><li>Progress as a person as we work on the energy transition together
</li><li>Continuously grow the transferable skills you need to get ahead
</li><li>Work at the forefront of technology, trends, and practices
</li><li>Collaborate with experienced colleagues with unique expertise
</li><li>Achieve your balance in a values-led culture that encourages you to be the best version of yourself
</li><li>Benefit from flexible working hours, and the possibility of remote/mobile working
</li><li>Perform at your best with a competitive starting salary and annual performance related salary increase &ndash; our pay and benefits packages are considered to be among the best in the world.
</li><li>Take advantage of paid parental leave, including for non-birthing parents
</li><li>Join an organization working to become one of the most diverse and inclusive in the world. We strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientation, and life experiences to apply
</li><li>Grow as you progress through diverse career opportunities in national and international teams
</li><li>Gain access to a wide range of training and development programs
</li></ul>We'd like you to know that Shell has a bold goal: to become one of the world&rsquo;s most diverse and inclusive companies. You can get to know more about how we're working towards that goal, click here .
Shell in The United States
Shell has been in the US for more than 100 years, leading the sector in energy, petrochemicals and refined products. Today, we provide millions of Americans with the energy needed to heat and cool their homes and power the economy.
We operate in all 50 states, from our Deepwater platforms in the Gulf of America to the Pennsylvania Chemicals complex and our miles of pipelines throughout the US.
We reach our customers through our 13,000 branded retail stations, and we are number 1 in gasoline sales. We also own the #1 brand of motor oil in the U.S. &ndash; Pennzoil&reg; &ndash; made from natural gas.
We are excited to play a key role in the move to net carbon emissions while providing the oil and gas needed by society for many decades to come.
<ul><li>- 
</li></ul> 
DISCLAIMER:
Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Shell/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. Shell participates in E-Verify. All qualified applicants will receive consideration for employment without regard to race, color, sex, national origin, age, religion, disability, sexual orientation, gender identity, protected veteran status, citizenship, genetic information or other protected status under federal, state or local laws. Shell is an Equal Opportunity Employer - Minorities/Females/Veterans/Disability. As a US Federal Contractor, hiring selections are subject to periodic audit review and documentation of your selections should be maintained for a period of three calendar years. It is the policy of Shell in the U.S. (&ldquo;Shell&rdquo;) to provide equal opportunity to all individuals, employees and all qualified applicants for employment consistent with employment requirements and qualifications. Shell prohibits discrimination based on race, color, sex, national origin, age, religion, disability, sexual orientation, gender identity, veteran status, citizenship, genetic information, or other protected status under federal, state or local laws. All employees are expected to support this policy and contribute to an environment of equal opportunity. If you need an accommodation for a disability during the resourcing process, please speak with an HR representative.</div>

Chevron

<div>Total Number of Openings
1
Chevron is accepting online applications for the role of Senior Finance Analyst - AI &amp; ML, through June 26, 2026, 11:59pm Central time.
The Senior Finance Analyst - AI &amp; ML is a role sitting at the intersection of rigorous quantitative finance and frontier machine learning. You will architect and deploy production-grade AI &amp; ML systems that materially shape capital allocation decisions, financial forecasting, and risk modeling across the organization. This is not a support function - you will own the full analytical lifecycle, from problem formulation to model deployment, and your work will be directly visible to senior leadership. This role will be based in Houston, TX. We are looking for candidates who possess a rare blend of deep theoretical knowledge and battle-tested engineering skills.
Responsibilities include, but are not limited to, the following:<ul><li>
Design, build, and own advanced machine learning and statistical models that directly inform corporate financial planning, capital allocation, and strategic risk assessment.</li><li>
Develop predictive and generative AI systems for financial forecasting, scenario analysis, anomaly detection, and portfolio optimization.</li><li>
Translate complex, ambiguous business problems into mathematically rigorous AI/ML solutions with clear, quantifiable impact.</li><li>
Build and maintain production-ready ML pipelines &mdash; from data ingestion and feature engineering through model training, validation, deployment, and monitoring.</li><li>
Partner with finance leadership, data engineering, and technology teams to integrate AI/ML outputs directly into decision-making workflows.</li><li>
Establish and champion model governance practices, including interpretability, bias assessment, and auditability frameworks appropriate for regulated financial environments.</li><li>
Continuously evaluate and adopt frontier AI/ML methodologies &mdash; large language models, time-series forecasting, causal inference, reinforcement learning &mdash; where applicable to finance.</li><li>
Mentor junior analysts and contribute to building a rigorous, intellectually demanding team culture.</li></ul> 
Required Qualifications:<ul><li>
Education: Bachelor&rsquo;s degree in Mathematics, Statistics, Physics, Computer Science, Data Science, Quantitative Finance, or another highly quantitative discipline. Master&rsquo;s or PhD strongly preferred.</li><li>
Experience: 5&ndash;7+ years building and deploying advanced AI/ML solutions in production environments. Demonstrated success applying deep technical expertise in mathematical, statistical, engineering, or finance domains.</li><li>
Proven track record of owning complex end-to-end ML projects from ideation to measurable business impact.</li><li>
Mastery of core and advanced techniques: Python (expert), PyTorch/TensorFlow/JAX, SQL, probabilistic programming (e.g., Pyro, Stan), causal inference, time-series analysis (including modern state-space and transformer-based models), optimization (linear/non-linear, stochastic), and large-scale data engineering.</li><li>
Deep understanding of corporate finance principles (or the ability to learn them at exceptional speed) combined with the ability to challenge conventional financial thinking with data-driven rigor.</li><li>
Exceptional communication skills &ndash; you can explain sophisticated models to CFOs and Boards while maintaining technical depth with peers.</li></ul> 
Relocation will be considered.
Expatriate assignments will not be considered.
Chevron regrets that it is unable to sponsor employment Visas or consider individuals on time-limited Visa status for this position.
U.S. Regulatory notice:
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.
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.
Chevron participates in E-Verify in certain locations as required by law.</div>

Finance AI & ML Senior Analyst

GMB Marine Shipping Agency, Inc.

Overview We are seeking a proactive and highly organized Executive Assistant in Maritime Logistics to join our team. This role provides comprehensive administrative support to senior management and ensures the smooth operation of maritime logistics activities. The ideal candidate will demonstrate exceptional organizational skills, attention to detail, and a passion for facilitating efficient project coordination within a fast-paced maritime environment. Your energetic approach will help drive operational excellence and support our commitment to delivering seamless logistics solutions across global markets.Duties<ul><li>Manage complex calendars, schedule appointments, and coordinate meetings for senior executives involved in maritime logistics projects using tools like Monday.com and Google Workspace.</li><li>Prepare, proofread, and transcribe important documents, reports, and correspondence with precision, ensuring clarity and professionalism.</li><li>Oversee office management tasks including filing, data entry, bookkeeping using QuickBooks and Google Suite, and maintaining organized records of shipping documents, invoices, and compliance files.</li><li>Serve as a personal assistant by handling travel arrangements and managing multi-line phone systems with professional phone etiquette.</li><li>Coordinate project activities by tracking deadlines, preparing status updates, and liaising with internal teams to ensure timely execution of maritime logistics initiatives.</li></ul>Requirements<ul><li>Proven experience as an executive assistant or administrative professional within the maritime or logistics industry is preferred.</li><li>Strong organizational skills with the ability to multitask efficiently in a fast-paced environment; experience in office management is advantageous.</li><li>Excellent computer literacy with proficiency in Microsoft Office Suite (Word, Excel, PowerPoint), Google Workspace applications, and data entry systems.</li><li>Exceptional calendar management skills using Microsoft Outlook Calendar or similar tools; ability to prioritize tasks effectively.</li><li>Knowledge of project coordination principles along with event planning capabilities for corporate logistics functions.</li><li>Outstanding communication skills with professional phone etiquette across multi-line phone systems; ability to handle sensitive information discreetly.</li><li>Detail-oriented with strong clerical experience including filing, data entry, and office organization; prior experience supporting executives in a maritime or transportation setting is a plus. Join us in this energetic role where your organizational prowess will directly contribute to the success of our maritime logistics operations!</li></ul>Pay: $40,000.00 - $50,000.00 per yearBenefits:<ul><li>Flexible schedule</li><li>Health insurance</li></ul>Work Location: Hybrid remote in Houston, TX 77024

Executive Assistant - Maritime Logistics

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