2,502 Etl Processes jobs in the United States

Join to apply for the Data Engineering role at targetjobs UK 3 days ago Be among the first 25 applicants Join to apply for the Data Engineering role at targetjobs UK Get AI-powered advice on this job and more exclusive features. Summary Digital Futures is looking for aspiring data engineering consultants to join our Future Talent Programme. The Future Talent Programme offers a unique entry point for individuals looking to start their career in technology. The programme begins with immersive training at the Digital Futures Academy, where trainees gain the essential technical expertise, consulting skills, and practical experience required for success. Following the successful completion of our Academy and attainment of an industry certification, trainees will then be deployed as consultants within high-performing technology teams at one of Digital Futures clients. Summary Digital Futures is looking for aspiring data engineering consultants to join our Future Talent Programme. The Future Talent Programme offers a unique entry point for individuals looking to start their career in technology. The programme begins with immersive training at the Digital Futures Academy, where trainees gain the essential technical expertise, consulting skills, and practical experience required for success. Following the successful completion of our Academy and attainment of an industry certification, trainees will then be deployed as consultants within high-performing technology teams at one of Digital Futures clients. Your journey with us Training – Your journey with Digital Futures starts with 12-weeks of free immersive training, during which our team of expert instructors will help you learn essential technical and consulting skills to prepare you for your career in data. Our training is delivered remotely, with one-to-one mentoring and group project work. Certification – As part of your graduation from the Digital Futures Academy, you will achieve the AWS Data Engineer Associate certification. The cost of your certification is covered by Digital Futures. Employment – Once your deployment has been secured, we will offer you a full-time employment contract with Digital Futures. Throughout this time, you will work as a consultant in a technology team at one of the world’s leading companies, applying your skills to exciting, innovative and impactful projects. Your immersive training Technical Skills The Data Engineering pathway at the Digital Futures Academy covers the key technical skills and concepts needed to be successful in your first role in data. The technical skills training is underpinned by a comprehensive consulting skills curriculum to ensure that our consultants are workplace ready ahead of starting roles with our clients. Modules taught at the Digital Futures Academy include: Coding fundamentals (Python, SQL) Data modelling and data warehousing Extract-Transform-Load (ETL) Creating data pipelines Ethics in data and AI Cloud and big data technologies (PySpark, AWS) Working with unstructured data Consulting Skills Effective teamwork Business acumen Time management Stakeholder management Presentations Agile methodology Being a brand ambassador Being a Digital Futures consultant Role Consulting roles with our clients are varied and give you the hands-on opportunities to gain the experience you need for success. As a data engineering consultant, you will be: Working with fellow data engineers to design and implement data pipelines. Building and maintaining ETL processes to ingest, transform, and store data from various sources. Collaborating with data scientists and analysts to ensure that data is properly formatted and accessible. Troubleshooting and resolving data pipeline and infrastructure issues. Helping to design and maintain data warehouses, data lakes, and other data storage solutions. Developing Generative AI powered data solutions. Ensuring that data is properly secured and follows industry best practices Staying up to date with new data engineering technologies and techniques What are we looking for? Education You don’t need any previous formal education or commercial experience in tech or data to join our Future Talent Programme, as long as you can demonstrate the following: An understanding of the basics of Python A genuine interest in tech and how it can help the world A growth mindset with a commitment to lifelong learning Self-starting and motivated by personal development Intellectually curious with great problem-solving skills A team player and collaborative in nature A delivery mindset with the ability to get things done Truly motivated to take the first step to starting a career in tech Key programme information Please note the following important information before submitting an application to the Future Talent Programme: Start Date - 15 September 2025 Locations: Following the training, roles with our clients will be located across the UK, including in: London, Stevenage, Bristol, Norwich, Leeds, Sheffield and Halifax. You must be available to commute or relocate to one of these locations to apply. Salary: Upon starting your deployment with one of our clients and becoming a permanent employee of Digital Futures, the salary is: Year 1 - £27,500 per annum plus benefits Year 2 - £2,000 per annum plus benefits, subject to performance review Benefits: Once you become a permanent employee of Digital Futures you will have access to: a comprehensive benefits package and pension contributions an Employee Referral Scheme – earn up to £1 00 per referral an Incentives Scheme which will allow you to access funds for additional training and certifications. You must have the right to work in the UK from the start date of the programme. Why join Digital Futures? Digital Futures is a mission-led technology services company specialising in strategic workforce solutions. Our mission is to accelerate the transition to a skills-based economy and create sustainable employment opportunities across the UK by challenging conventional thinking and bridging the gap between education and industry — equipping exceptional talent from all backgrounds with the skills, knowledge, and confidence to succeed. Our Future Talent programme focuses on uncovering potential, rather than on background or experience. In doing so, we unlock exceptional talent and help people to thrive in their first role in tech. We focus not only on preparing you for your first consulting role with us, but also on setting you up for success for your future career. If you have the right mindset and drive, we will help you reach your career goals, preparing you to become a leader of tomorrow. Seniority level Seniority level Internship Employment type Employment type Full-time Job function Job function Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at targetjobs UK by 2x Get notified about new Data Specialist jobs in Norwich, CT . 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Join to apply for the Manager, Data Engineering role at Panda Restaurant Group 1 week ago Be among the first 25 applicants Join to apply for the Manager, Data Engineering role at Panda Restaurant Group Summary Of Job Description The Manager, Data Engineering is responsible for leading the development and operations of the data engineering team to deliver end-to-end data flow processes across applications, systems, and various data sources and targets in the company’s data ecosystem. This position develops and maintains ETL processes to ensure the timely and accurate movement of data across various systems while optimizing for performance and reliability. The Manager, Data Engineering collaborates with cross-functional teams to integrate data from diverse sources, ensuring data consistency, quality, and reliability. You’ll Get a Chance To Lead the data engineering team, hiring, training, mentoring, and growing team members including PRG employees and partner service providers. Architect and implement scalable data solutions using Azure Synapse, Azure Data Factory, and other relevant technologies to meet business requirements. Develop and maintain ETL processes for timely and accurate data movement, optimizing performance and reliability. Identify and implement performance improvements, troubleshoot issues, and monitor data solutions for optimal performance. Collaborate with cross-functional teams to ensure data integration, consistency, quality, and reliability. Implement and enforce data security and compliance standards in coordination with the security team. Manage data services team operations, including budgeting, procurement, and data quality monitoring, in collaboration with data service leadership. Research new technologies in data and analytics, championing adoption as needed. How We Reward You Hybrid work schedule 401K with company match Yearly bonus opportunity* Full medical, dental, and vision insurance* On-site fitness center, biometric screening, and flu shot clinic Discounts at Panda restaurants, theme parks, and gym memberships Paid time off starting at 15 days plus 7 federal holidays* Continuous education assistance and scholarships* Income protection including Disability, Life, and AD&D insurance* Bereavement leave* Benefits for eligible full-time associates Your Background And Experience Bachelor’s degree in computer science or information systems Minimum three years leading a data engineering team Minimum five years of experience in BI technologies and ETL workflow development, preferably in retail/hospitality Proven experience with Azure Synapse, Azure Data Factory, and other data warehouse and ETL technologies Successful completion of required trainings Ability to obtain a Food Handler's Card within 30 days of employment Pay Range: M2: $112,500 - $158,000 / Annual Within the range, individual pay is determined by location and experience. Panda Strong Since 1983 Founded in Glendale, California, we are now the largest family-owned American Chinese restaurant chain in America, with nearly 2,300 locations globally. We are committed to delivering exceptional Asian dining experiences and fostering a community where people can improve their lives, guided by family values. You’re Wanted Here We value diversity and workplace equality, which foster creative ideas, diverse perspectives, and overall happiness. Panda Restaurant Group, Inc. is an Equal Opportunity Employer and complies with all applicable laws. If accommodations are needed, contact our accommodation team via email at Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries Restaurants #J-18808-Ljbffr

We Power the Magic! That's our motto at Disney Experiences (DX). Our team creates world-class immersive digital experiences for the Company's premier vacation brands including Disney's Parks & Resorts worldwide, Disney Cruise Line, Aulani, a Disney Resort & Spa, and Disney Vacation Club.

Director, Data Engineering is responsible for Data Platform Engineering, Data Governance solutions and technical operations for data and analytics technology supporting DX.

This leadership position sits within the DX Data organization and reporting into the Vice President, Data.

What You Will Do:

• Engineering and operations for business-critical data platforms
• Developing, implementing and integrating software and automation to support data governance and compliance policies, as defined by legal/privacy teams, including DSAR automation, record retention, access control and quality monitoring and observability.
• Responsible for ownership of the Disney Experiences data catalog
• Engineering and sustainment of data consumption, analytics, visualization and BI tools
• Operations and support of data pipelines and products, including incident, problem and change management and oversight of a large managed services team
• Visionary thinking and industry expertise to continually evolve the DX data platform, governance and consumption strategy

What You Need:

• 12+ years related work experience
• Advanced knowledge of Data Architecture, Data Warehousing, Advanced Analytics, and Data Science implementations
• Experience across Data Warehouse platforms such as Snowflake and BigQuery, with expert level knowledge in the Snowflake Platform
• Expertise with Data Lakehouse architectures and formats/standards, such as Parquet and Iceberg
• Experience designing automated, highly available ETL/ELT big data pipelines at scale
• Experience with data transformation and orchestration tools as well as dbt and AirFlow
• Knowledge of data quality practices and tooling such as Datadog and Anomalo
• Familiarity with data security and privacy regulations
• Experience with Enterprise Data Governance, BI (Business Intelligence) consumption tools
• Excellent verbal and written communication, compelling storytelling and presentation skills.
• A team player with vision, passion, discipline, and integrity
• Demonstrated inclusive and collaborative leadership that embraces diverse thought. Ability to develop geographically and otherwise diverse highly technical teams.
• Proven ability to successfully operate in a highly matrix organization where partnership and influence are key drivers of success
• Ability to work rapidly and efficiently in a fast paced and changing environment

Required Education:

• Bachelor's degree in computer science, Information Systems or related equivalent experience.

Preferred Education:

• Master's degree in computer science, Information Systems or related equivalent experience.

#DISNEYTECH

The hiring range for this position in CA is $202,900.00 to $272,100.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

Position Summary:

We are seeking an exceptional Director of Data Engineering to join McKesson Technology organization and lead the design, development, and optimization of enterprise-scale data products. This management-level role will drive the strategic vision for data engineering across the enterprise while managing large-scale data operations built on modern data stack. The successful candidate will combine deep technical expertise with proven leadership capabilities to deliver robust, scalable data solutions that power critical business decisions across our global operations.

Key Responsibilities:

Strategic Leadership:

• Develop and execute comprehensive data engineering strategy aligned with enterprise business objectives and digital transformation initiatives
• Partner with executives, business leaders, and technology stakeholders to define data architecture vision and roadmap
• Drive innovation in data engineering practices, emerging technologies, and platform capabilities to maintain competitive advantage
• Establish data engineering standards, best practices, and governance frameworks across the organization

Technical Excellence:

• Architect and oversee enterprise-scale data platforms leveraging Microsoft Azure ecosystem (Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Event Hubs)
• Lead advanced implementation of Databricks for large-scale data processing, machine learning workflows, and real-time analytics
• Ensure adoption of data products leveraging semantic models built on PowerBI and enterprise reporting capabilities to deliver actionable business insights
• Design and implement robust data pipelines supporting petabyte-scale data ingestion, transformation, and distribution
• Ensure data platform security, compliance, and performance optimization across all environments

Organizational Leadership:

• Build, mentor, and lead a high-performing team of 25+ data engineers, senior engineers, and technical specialists
• Collaborate cross-functionally with Data Science, Analytics, IT, and Business Intelligence teams to deliver integrated solutions
• Establish talent development programs, technical career progression paths, and engineering excellence initiatives
• Foster culture of innovation, continuous learning, and technical excellence within the data engineering organization

Operational Excellence:

• Oversee enterprise data engineering operations ensuring 99.9%+ uptime, optimal performance, and cost efficiency
• Implement comprehensive monitoring, alerting, and incident response capabilities for mission-critical data systems
• Partner with Data Platforms team to drive automation initiatives and DevOps practices to enhance deployment speed and operational reliability
• Manage technology budgets, vendor relationships, and strategic partnerships to optimize total cost of ownership

Minimum Qualifications: - Degree or equivalent experience. Typically requires 12+ years of professional experience and 4+ years of management experience

Critical Skills:

• Experience leading digital transformation initiatives and complex technology implementations
• Strong background in building and scaling data engineering organizations (20+ person teams)
• Deep expertise in Microsoft Azure data services ecosystem (Azure Data Factory, Synapse Analytics, Data Lake Storage, Event Hubs, Cosmos DB)
• Advanced proficiency with Databricks platform including Delta Lake, MLflow, and advanced analytics workflows
• Extensive experience with BI development, administration, and enterprise deployment
• Strong foundation in modern data architectures: data lakes, data warehouses, real-time streaming, and event-driven systems
• Proficiency in multiple programming languages (Python, Scala, SQL, .NET) and infrastructure-as-code practices

Additional Skills:

• Experience with P&L responsibility, budget management, and technology ROI optimization
• Strong understanding of enterprise data governance, regulatory compliance, and data privacy requirements
• Proven ability to communicate complex technical concepts to executive stakeholders and non-technical audiences

Preferred Qualifications:

• Azure certifications (Azure Data Engineer Associate, Azure Solutions Architect Expert)
• Databricks certifications (Professional Data Engineer, Professional ML Practitioner)
• Experience in regulated industries (healthcare, financial services, manufacturing)
• Familiarity with enterprise AI/ML platform development and deployment
• Previous experience at Fortune 100 companies with similar scale and complexity

What We Offer:

• Competitive executive compensation package including base salary, performance bonus, and equity participation
• Comprehensive benefits including health, dental, vision, retirement planning, and professional development budget
• Opportunity to lead cutting-edge data engineering initiatives at global scale
• Collaborative culture with access to latest technologies and industry-leading resources
• Clear path for continued career advancement within our growing technology organization

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here .

Our Base Pay Range for this position $151,700 - $252,900

McKesson is an Equal Opportunity Employer. McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information.

HAeXchange is the leading technology platform for home and community-based care. Founded in 2008, HHAeXchange was born out of an idea to create a fully comprehensive end-to-end homecare solution to help people who are aging or have disabilities thrive in their homes and communities. Our employees are passionate about transforming the healthcare space by building the only homecare ecosystem that fully connects patients, personal care providers, managed care organizations, and states.

The Director, Data Engineering leads the teams responsible for building and maintaining our core Analytics data platform, including business analytics, reporting, visualization and data analysis capabilities. To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily with or without reasonable accommodation. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This is a hybrid position based out of our Midtown Manhattan, Washington D.C. or Bloomington, MN office locations, with an on-site presence required two days per week to support team collaboration.

• Strategy & Leadership:
• Define and execute the strategic roadmap for our enterprise data platform, aligning with product, compliance, and business objectives.
• Lead and mentor a cross-functional team including data engineers, BI analysts, and data architects.
• Collaborate with senior leadership, product management, and other stakeholders to translate business needs into scalable data solutions.
• Advocate for data governance, privacy, and security in accordance with HIPAA and other healthcare regulations.
• Data Engineering & Architecture:
• Oversee the design, implementation, and optimization of scalable data pipelines (ETL/ELT) that support internal analytics and product features.
• Manage the development of our Data Lake implementation, consolidating data that originates in one of the 7 software platforms that we support into a single unified store of information
• Ensure data infrastructure supports near real-time and batch processing for diverse use cases including analytics, machine learning, and customer reporting.
• Business Intelligence & Reporting:
• Build and evolve a centralized BI function that supports self-service reporting and interactive dashboards for internal and external stakeholders.
• Own the architecture and lifecycle of reporting tools (e.g., Looker, Power BI, Tableau) and data visualization best practices.
• Establish KPI definitions, data quality standards, and reliable data access layers for cross-functional reporting.
• Compliance & Operations:
• Ensure all data practices comply with relevant regulations (HIPAA, SOC 2, HITRUST) and industry standards.
• Develop and manage SLAs for data availability, reliability, and accuracy.
• Define and implement monitoring, alerting, and observability across the data ecosystem.
• Team Building & Execution:
• Build a high-performing team through hiring, mentorship, career development, and performance management.
• Manage project prioritization, resource allocation, and execution timelines to deliver against commitments.
• Foster a culture of ownership, continuous improvement, and cross-functional collaboration.

• Other duties as assigned by supervisor or HHA exchange leader.

• Travel up to 10%, including overnight travel

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
• 10+ years of experience in data engineering, data architecture, or BI in high-scale SaaS or cloud environments.
• 5+ years in a people leadership role, ideally including Director-level experience managing diverse technical teams.
• Proven experience with modern data platforms and cloud-native technologies (e.g., AWS, Azure, GCP, Snowflake, Databricks, dbt, Kafka).
• Strong proficiency in SQL, data modeling, and distributed data systems.
• Experience with BI and reporting tools (e.g., Looker, Tableau, Power BI) and setting up scalable reporting systems.
• Deep understanding of data privacy, security, and compliance frameworks relevant to healthcare (HIPAA, HITRUST, etc.).
• Strong communication and stakeholder management skills across technical and non-technical audiences.
• Experience working in a healthcare technology company or with clinical data (EHR, HL7/FHIR).
• Familiarity with machine learning operations and enabling data science workflows.
• Experience with DataOps, observability, and CI/CD practices for data platforms.

The base salary range for this US-based, full-time, and exempt position is $180,000-195,000/yr not including variable compensation. An employee's exact starting salary will be based on various factors including but not limited to experience, education, training, merit, location, and the ability to exemplify the HHAeXchange core values. This is a benefits-eligible position. HHAeXchange offers competitive health plans, paid time-off, company paid holidays, 401K retirement program with a Company elected match, including other company sponsored programs.

Job DescriptionJob Description Position: Data Engineering Advisor Become a Data Engineering Advisor and build a better tomorrow. In this role, youll be responsible for creating and supporting analytical data marts by developing data integration pipelines (ETL) sourcing from various databases and systems. You will develop programs using coding (i.e., Python, SQL, PROC SQL, R) and/or low-code environments (i.e., Palantir Foundry) to create analyses and applications for stakeholders throughout the company. This role requires expertise in data architecture, engineering solutions, and best practices for analyzing large datasets. Additionally, you will perform data mining activities to derive insights, work with cloud OLAP systems (e.g., Snowflake), and stay updated on new data science, data engineering, and big data techniques. Responsibilities: Manage and scale data pipelines from internal and external data sources to support new product launches and ensure data quality. Facilitate data engineering activities covering data acquisition, extraction, normalization, transformation, and manipulation of large and complex datasets. Research, promote, and implement data engineering best practices, standards, and guidelines. Collaborate with subject matter experts to design and develop front-end applications supported by data models and pipelines. Provide governance and oversight of data assets and procedures, ensuring naming conventions and data consistency. Build and maintain data pipelines using big data processing technologies. Develop and maintain data warehouse schemas and data models. Align technical strategies with evolving business needs and technology trends. Create advanced data visualizations and tools to drive insights and support operations. Identify and design Data-as-a-Service (DaaS) opportunities to improve data accessibility and usability. Minimum Qualifications: Bachelors Degree in Computer Science, Information Systems, Engineering, Statistics/Mathematics, or a related STEM field. Seven or more years of experience in data processing, including transformation, aggregation, and filtering of large datasets. Qualifications: Certifications such as Palantir Foundry Data Engineer, Azure Data Engineer, Certified Data Management Professional, or SnowPro Advanced. Experience building and maintaining APIs and ETL pipelines using tools like Python, SQL, Apache Airflow, or Azure Data Factory. Familiarity with systems such as Palantir Foundry, Snowflake, SAP, or Oracle. Understanding of cloud-based data storage and architecture. Experience with data validation, metadata management, and maintaining data integrity. Background in the electric utility industry or infrastructure investment planning. Strong collaboration skills for working with cross-functional teams in IT, Engineering, Planning, and Business Units. #J-18808-Ljbffr

Cultivate a better world. Food served fast does not have to be a typical fast-food experience. Chipotle has always done things differently, both in and out of our restaurants. We are changing the face of fast food, starting conversations, and directly supporting efforts to shift the future of farming and food. We hope you will join us as we continue to learn, evolve, and shape what comes next on our mission to make better food accessible to everyone.

The Manager will oversee Data Engineering teams and will be a thought leader for enterprise data solutions and delivery across the company. This role will lead, manage, and continue to build the enterprise data engineering function and strategy at Chipotle along with mentoring and coaching teams of data engineers. This high impact role will have an opportunity to lead a team to build our enterprise data solutions and work with emerging technologies such as Snowflake, Azure Data Lake/Azure Data Factory, DBT and more. This leader will be an expert at developing, implementing, and operating stable, scalable, low-cost enterprise data solutions.

In addition to following and supporting Chipotle's policies and procedures, principal accountabilities include, but are not limited to:

• Lead and support the enterprise Data Engineering teams through design, develop, test, implement, and support of Chipotle's next generation enterprise data solutions.
• Oversee and manage data engineering across many Agile teams and data pods supporting all enterprise data initiatives to ensure that there is strong planning and execution along with quality and rigor.
• Act as a key contributor to the data engineering technical strategy for Chipotle's enterprise data solutions.
• Define, measure, review, and implement the data engineering standards and best practices including data engineering processes, tools, and documentation.
• Collaborate with the Product team, other Tech leaders/teams and business partners at all stages of the data delivery life cycle.
• Build, lead, and mentor the team(s) toward growth and improvement. Conduct regular 1:1s with each direct report, quarterly 4x4 conversations and career development plans.

• B.S/B.A. in Computer Science, Information Systems or related degree preferred.
• 5+ years of experience in a related field (Data Warehousing, Business Intelligence, Analytics).
• 2-3 years of experience managing data engineering teams and/or leading Agile scrum teams in development.
• 3+ years of experience with Modern Data Architecture (Snowflake, Azure Data Lakes, DBT, FiveTran, etc.).
• Strong experience leading technical discussions, conducting code reviews, and contributing to solution designs/architecture.
• Proficient experience in Data engineering and data modeling (physical and logical).
• Understanding of data engineering best practices with an Agile focus.
• Excellent verbal and written communication skills, ability to communicate clearly with senior leadership.

A reasonable estimate of the current base pay range for this position is $131,000.00$183,500.00. You are also eligible for annual cash bonuses and equity awards based upon performance and other factors. Actual compensation offered may vary depending on skill level, experience, and/or education. Chipotle offers a competitive total rewards package, which includes medical, dental, and vision insurance, 401k, sick leave, vacation time, and much more. Visit jobs.chipotle.com/benefits for more details.

Chipotle Mexican Grill, Inc. (NYSE: CMG) is cultivating a better world by serving responsibly sourced, classically cooked, real food with wholesome ingredients without artificial colors, flavors or preservatives. Chipotle has restaurants in the United States, Canada, the United Kingdom, France and Germany and is the only restaurant company of its size that owns and operates all its restaurants in North America and Europe. With employees passionate about providing a great guest experience, Chipotle is a longtime leader and innovator in the food industry. Chipotle is committed to making its food more accessible to everyone while continuing to be a brand with a demonstrated purpose as it leads the way in digital, technology and sustainable business practices. For more information or to place an order online, visit WWW.CHIPOTLE.COM

Chipotle Mexican Grill is an equal opportunity employer that values diversity at all levels. As a people-first company rooted in values, our purpose extends beyond serving nutritious food using real ingredients. It means hiring world-class individuals and fostering a culture that champions diversity, ensures equity, and celebrates inclusion. All qualified applicants, regardless of personal characteristics, are encouraged to apply. Qualified applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and/or certain state or local laws. Please contact if you need an accommodation due to a disability to complete an application, job interview, and/or to otherwise participate in the hiring process. This email does not respond to non-accommodations related requests.

**Relocation Assistance Available** Business Context Marriott Vacations Worldwide (MVW) is a leading global vacation company that offers vacation ownership, exchange, rental and resort and property management, along with related businesses, products, and services. The Company has over 1.