data engineering specialist

Shelter Insurance

<div><p><b>A company built to serve you. It's your career, Shelter it!</b></p><p></p><p><b>
Data Engineering &amp; Operations Specialist
</b></p><p><b>$101,504 &ndash; 125,868 / year minimum starting pay</b></p><p><b>
Job Level: Individual Contributor</b></p><p><b>
Location: Columbia, Missouri (On-site, Full-Time)</b></p><p></p><p>
Shelter maintains broad salary ranges for its roles in order to account for variations in geographic location, education, training, skills, relevant work experience, business needs and market demands. Please remember that this range is the starting base pay only and does not consider other components that make up the total rewards package for the position.</p><p></p><p><b>
What You Will Be Doing:
</b></p><p>Design, implement, and maintain data pipelines, data integration solutions, and data architecture. Additionally, expertise in Snowflake is required to ensure efficient and scalable data storage, processing, and analytics.</p><p></p><p><b>
What We're Looking For:
</b></p><ul><li><p>Bachelor's or Master's degree in computer science, information systems, or a related field is preferred.</p></li><li><p>
Proven experience (4+ years) as a Senior Data Engineer, with expertise in Qlik Replicate, Compose, and DBTLabs &amp; Astronomer, combined with hands-on experience in Snowflake typically required.</p></li><li><p>
Proficiency in Qlik Replicate, Compose, and Github, DBTLabs &amp; Astronomer for data integration, replication, and transformation.</p></li><li><p>
Strong understanding of data engineering principles, data modeling, ETL processes, and data warehousing concepts.</p></li><li><p>
Expertise in Snowflake, including data ingestion, storage, performance optimization, and security.</p></li><li><p>
Experience with cloud platforms, such as AWS or Azure, and working with cloud-based data solutions and services.</p></li><li><p>
Familiarity with data quality, data governance, and data lifecycle management practices.</p></li><li><p>
Solid programming skills in SQL and scripting languages (e.g., Python, PowerShell) for data manipulation and automation.</p></li><li><p>
Strong problem-solving and troubleshooting abilities, with the ability to diagnose and resolve data engineering issues.</p></li><li><p>
Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.</p></li><li><p>
Ability to perform essential functions of the position, with or without a reasonable accommodation.</p></li></ul><p></p><p><b>
Shelter's uncompromising commitment to excellence doesn't stop with our customers. We recognize our employees are what make us a premier organization in the insurance industry. Shelter Employees enjoy such benefits as:</b></p><ul><li><p>
Health, Dental, Voluntary Vision and Prescription Drug Insurance</p></li><li><p>
Savings and Profit Sharing 401(k)</p></li><li><p>
Paid Time Off for Sick and Personal Leave, Vacation and Holidays</p></li><li><p>
Vitality Wellness Program</p></li><li><p>
&quot;Dress for Your Day&quot; Dress Code</p></li><li><p>
Flexible Scheduling</p></li><li><p>
And much more!</p></li></ul><p></p><p>
If interested, please apply by:</p>
04/27/2026</div><p></p>

Data Engineering & Operations Specialist

AlphaBOLD

<div><h2 class="jobSectionHeader"><b>JOB SUMMARY</b></h2>
<p>
Alphabold is looking for a skilled Data Engineer with 3&ndash;5 years of experience to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate will have strong expertise in data processing, database systems, and cloud platforms, enabling efficient data flow and analytics across the organization.</p>
<h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3>
<ul><li>Design, develop, and maintain scalable ETL/ELT data pipelines</li>
<li>Build and optimize data architectures, data lakes, and data warehouses</li>
<li>Ensure data quality, integrity, and reliability across systems</li>
<li>Collaborate with data analysts, data scientists, and business stakeholders to deliver data solutions</li>
<li>Develop and manage batch and real-time data processing systems</li>
<li>Monitor and troubleshoot data pipeline performance and failures</li>
<li>Implement data governance, security, and compliance best practices</li>
<li>Automate workflows and improve data engineering processes</li>
</ul><h3 class="jobSectionHeader"><b>Required Skills &amp; Qualifications</b></h3>
<ul><li>3&ndash;5 years of experience in data engineering or related roles</li>
<li>Strong proficiency in SQL and Python (or Scala/Java)</li>
<li>Hands-on experience with ETL tools and frameworks (e.g., Apache Airflow, Talend, Informatica)</li>
<li>Experience with big data technologies such as Apache Spark, Hadoop, or Kafka</li>
<li>Solid understanding of data warehousing concepts and modeling (Star/Snowflake schema)</li>
<li>Experience with cloud platforms like AWS, Azure, or Google Cloud</li>
<li>Familiarity with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB)</li>
<li>Experience with version control systems (e.g., Git)</li>
</ul><h3 class="jobSectionHeader"><b>Preferred Qualifications</b></h3>
<ul><li>Experience with containerization tools like Docker and orchestration tools like Kubernetes</li>
<li>Knowledge of CI/CD pipelines and DevOps practices</li>
<li>Familiarity with data visualization tools (e.g., Power BI, Tableau)</li>
<li>Understanding of streaming data systems and real-time analytics</li>
</ul><h3 class="jobSectionHeader"><b>Soft Skills</b></h3>
<ul><li>Strong problem-solving and analytical skills</li>
<li>Good communication and collaboration abilities</li>
<li>Ability to work in a fast-paced, agile environment</li>
<li>Attention to detail and commitment to data accuracy</li>
</ul><h3 class="jobSectionHeader"><b>Education</b></h3>
<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, Information Technology, or a related field</li>
</ul><h3 class="jobSectionHeader"><b>Nice to Have</b></h3>
<ul><li>Certifications in cloud platforms (AWS, Azure, GCP)</li>
<li>Experience working with large-scale distributed systems</li></ul></div>

Data Engineer

Envision Employment Solutions

<div><p><b>Envision Employment Solutions</b> is currently looking for a <b>Data Engineer (Saudi National) </b>for one of our partners, a global leader in the IT Services and IT Consulting.</p><p></p><p><b>
Job Summary:</b></p><p>
This is a full-time, on-site role for a Data Engineer located in Riyadh. The Data Engineer will be responsible for designing, building, and managing scalable data pipelines, performing data integration, and developing data models for optimization. The role involves building ETL processes, maintaining data warehouses, and collaborating with cross-functional teams to deliver data-driven solutions that support business operations and analytics.</p><b><br>
Requirements</b><br>
<ul><li>
Bachelor's degree in Computer Science, Data Science, or related fields</li><li>
Proficiency in Data Engineering and Data Modeling</li><li>
Experience with Extract, Transform, Load (ETL) processes and Data Warehousing</li><li>
Strong skills in Data Analytics and working with large-scale datasets</li><li>
Proficiency in programming languages commonly used in data engineering (e.g., Python, SQL, or Java)</li><li>
Knowledge of cloud platforms and big data tools (e.g., AWS, Azure, Hadoop) is a plus</li><li>
Strong problem-solving abilities and attention to detail</li></ul></div>

Data Engineer (Saudi National)

Apple

<p>The Find My team is dedicated to building a seamless, private, and secure experience for users to locate their devices, personal items, and share location with friends and family. We're a group of highly motivated engineers, designers, and product managers who are passionate about creating a simple and reliable experience for hundreds of millions of users worldwide. We thrive in a fast paced environment where team members are often encouraged to wear multiple hats and contribute to various aspects of the product lifecycle. Innovation and creative problem-solving are at the heart of our team, and we constantly explore new approaches to deliver groundbreaking solutions while collaborating with diverse disciplines across the company, including hardware, software, and privacy, to deliver an exceptional user experience.<br>
<br>
<b>Description</b><br>
<br>
As a Data Engineer on our team, you'll thrive in a fast-paced, startup-like environment, collaborating closely with a passionate cross-functional team to transform complex data into insights that power our shared mission. You'll be instrumental in designing and building the analytics pipelines behind exciting new features, and your contributions will directly impact millions of users. We embrace continuous iteration and improvement, so you'll have the opportunity to learn, grow, and refine your skills as we build the future of Find My.<br>
<br>
You will translate analytics needs from Data Science, Engineering, Product, and Program Management into high-quality, well-modeled data artifacts. Developing methods to monitor data quality and balancing competing priorities will be key to your success. You will dive deep into complex data engineering problems to ensure our solutions are extensible, reliable, and ready to deliver at scale.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Experience with open table formats such as Delta Lake or Apache Iceberg<br>
<br>
Experience with Spark on Kubernetes<br>
<br>
Experience with data quality monitoring and anomaly detection<br>
<br>
Familiarity with BI/visualization tools (e.g., Superset)<br>
<br>
Familiarity with privacy-preserving data engineering techniques<br>
<br>
Experience with machine learning applied to the domain of data engineering and analytics<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
BS in Computer Science, Data Engineering, or related field<br>
<br>
10+ years of experience working with large data sets and dimensional data modeling<br>
<br>
10+ years of experience with data processing using Spark and SparkSQL<br>
<br>
Experience with data pipeline orchestration tools<br>
<br>
Expertise in Java or Scala, and experience with Python<br>
<br>
Experience with Amazon Web Services, GCP, or Azure<br>
<br>
Strong communication and collaboration skills<br>
<br>
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Data Engineer, Find My

Crocs

<div></div><div><div><div><div><div>Requisition ID: 13965
</div></div></div></div><div><div><div><div>Job Location(s):
Broomfield, CO, US, 80021
</div></div></div></div><div><div><div><div>Time in Office: Hybrid
</div></div></div></div><div><div><div><div><div>At Crocs, Inc., every career offers a chance to make a real impact. No two journeys look the same. And that's exactly how we like it. Whether you&rsquo;re welcoming customers into our stores, collaborating with global teams at our headquarters, or keeping operations moving at our distribution centers, your impact is real and valued. At Crocs, Inc. you&rsquo;re not expected to fit a mold. You&rsquo;re encouraged to break it and create something better.</div><div></div><div><div><div><h2 class="jobSectionHeader"><b><br>
Overview</b></h2>
</div><div><p><b>
Crocs</b> is seeking an experienced <b>Data Engineer</b> to design, implement, and maintain <b>scalable data pipelines, decoupled data infrastructure, dynamic transformations and comprehensive orchestration layer </b>using a combination of <b>Snowflake, DBT, Airflow, Azure Data Lake, GitHub, </b>and other tools as needed including various AI models.</p><br>
<p></p>
<p>
In this role, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. As part of Enterprise Data Analytics team, you will help advance the adoption of <b>data-driven insights and advanced AI analytics</b> across multiple business domains within Crocs enterprise.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What You'll Do</b></h2>
</div><div><ul><li><b>Data Modeling</b> &ndash; Design and implement scalable, high-quality data models that support the Enterprise Data Platform (EDP) leveraging best practices while aligning with business and technical constraints.</li>
<li><b>ELT</b> &ndash; Design and implement efficient, scalable, and maintainable data pipelines supporting both batch and near&ndash;real-time data processing.</li>
<li><b>CI/CD</b> &ndash; Automate code integration, testing, and deployment using tools such as GitHub Actions to enable fast, reliable, and consistent delivery of data pipelines.</li>
<li><b>Engineering Best Practices</b> &ndash; Apply modern engineering standards, including AI-assisted development, comprehensive end-to-end testing, agile methodologies, and robust CI/CD practices.</li>
<li><b>Troubleshooting</b> &ndash; Proactively identify and resolve data processing, data quality, and performance issues in a timely and effective manner.</li>
<li><b>Continuous Automation</b> &ndash; Wherever possible to streamline and optimize and scale data engineering workflows.</li>
<li><b>Continuous Learning</b> &ndash; Stay current with advancements in data, analytics, and AI/ML, actively building skills that enhance productivity and product quality. Demonstrate curiosity, adaptability, and a forward-thinking mindset.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>What You'll Bring to the Table</b></h2>
</div><div><ul><li>Bachelor&rsquo;s degree or equivalent in computer science, information technology, engineering, or equivalent technical degree.</li>
<li>2+ years in a Data Engineering or Software Development role.</li>
<li>Strong proficiency in SQL, DBT, Python, Snowflake, Airflow and Git.</li>
<li>Experience designing data models following Kimbal Dimensional Modeling best practices.</li>
<li>Experience working with modern ETL/ELT tools, such as Databricks.</li>
<li>Prior experience working in a cloud platform (Azure preferred).</li>
<li>Knowledge of Astronomer and Apache NiFi preferred</li>
<li>Experience with REST API and Streamlit, preferred</li>
<li>Experience in distributed computing, preferred</li>
</ul></div></div></div><p>
The Company is an Equal Opportunity Employer committed to a diverse and inclusive work environment. We accept applications on an ongoing basis.</p><br>
<p></p>
<p>
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability, or any other classification protected by law.</p><br>
<p></p>
<p>
Title: Data Engineer</p>
<p>
Salary or Pay Range: $110,000 - $125,000</p>
<p>
Pay offered will vary based on job-related factors such as location, experience, training, skills, and abilities.</p><br>
<p></p>
<p>
At Crocs, Inc. we believe in the power of a blend of in-person and virtual collaboration to drive creativity and strengthen relationships. Your participation in this flexible schedule plays a key role in building a connected and successful team. In-office requirements vary by our work personas: Resident (5 days), Collaborator (4 days), Connector (2-3 days), Explorer (fully remote). This role has been aligned to the Collaborator persona.</p><br>
<p></p>
<p>
This position is eligible to participate in a company incentive program.</p><br>
<p></p>
<p>
This position is eligible for company benefits including but not limited to medical, dental, and vision coverage, life and AD&amp;D, short and long-term disability coverage, paid time off, employee assistance, participation in a 401k program that includes company match, and many other additional voluntary benefits.</p><br>
<p></p>
<p><i>
The application window is 45 days, but applicants are encouraged to apply as soon as possible after the posting date in order to ensure optimal consideration. The posting will be removed if the job is filled before the application window deadline.</i></p>
<p>
Job Category: Corporate</p><br>
</div></div></div></div><p><br>
<b>Nearest Major Market: </b>Denver</p></div>

Dubai Holding

<div>
 <p>
  Established in 2004, Dubai Holding is a global investment company with investments in more than 34 countries and a combined workforce of nearly 45,000 individuals. In line with the vision of Dubai&rsquo;s leadership and economic diversification strategy, Dubai Holding companies have nurtured sectors, irrevocably transforming Dubai&rsquo;s socio-economic landscape and positioning Dubai as a diversified, globally integrated economy.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Dubai Holding is committed to the diversification of Dubai&rsquo;s non-oil economy. Our portfolio, valued at over AED 280+ billion, spans 10 sectors, including real estate, hospitality, leisure &amp; entertainment, ICT, design, education, media, retail, manufacturing &amp; logistics, and science.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   For the Good of Tomorrow
  </strong>
 </p>
 <p>
  Dubai Holding is looking to hire a
  <strong>
   Data Engineer
  </strong>
  . The role is responsible for leading the design, development, and maintenance of data solutions that support product teams in leveraging data for their specific needs. This role involves building and managing data pipelines, data lakes, and data warehouses, ensuring high-quality data delivery, and fostering a culture of process and data quality within development teams while being compliant with data protection/ privacy regulations and policies.
 </p>
 <p>
  <br/>
 </p>
 <p>
  If you are ready to embark on a dynamic journey where your talents are valued, and your contributions make a real impact, we would like to hear from you.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Accountabilities:
  </strong>
 </p>
 <p>
  <strong>
   Data Infrastructure &amp; Pipeline Development
  </strong>
 </p>
 <ul>
  <li>
   Design, build, and maintain data pipelines, lakes, and warehouses.
  </li>
  <li>
   Develop ETL jobs and stored procedures/functions/packages.
  </li>
  <li>
   Ensure robust data storage and high-quality data delivery.
  </li>
 </ul>
 <p>
  <strong>
   Technical Guidance &amp; Integration
  </strong>
 </p>
 <ul>
  <li>
   Own and implement ETL operating standards.
  </li>
  <li>
   Provide guidance on infrastructure for analytics and AI use cases.
  </li>
  <li>
   Collaborate with backend developers and IT architecture teams for seamless integration.
  </li>
 </ul>
 <p>
  <strong>
   Product &amp; Stakeholder Collaboration
  </strong>
 </p>
 <ul>
  <li>
   Work with Product Owners to understand and meet data needs.
  </li>
  <li>
   Translate product requirements into engineering plans and roadmaps.
  </li>
  <li>
   Gather stakeholder requirements and build architectures aligned with business goals.
  </li>
 </ul>
 <p>
  <strong>
   Quality &amp; Process Excellence
  </strong>
 </p>
 <ul>
  <li>
   Promote a culture of process and data quality.
  </li>
  <li>
   Implement best practices for data management and quality assurance.
  </li>
  <li>
   Support bug fixing and performance optimization.
  </li>
 </ul>
 <p>
  <strong>
   Agile Delivery &amp; Team Collaboration
  </strong>
 </p>
 <ul>
  <li>
   Advocate for agile methodologies and iterative development
  </li>
  <li>
   Collaborate cross-functionally to deliver project outcomes.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Who we are looking for:
  </strong>
 </p>
 <ul>
  <li>
   At least 3-6 years of experience in Data Engineering roles
  </li>
  <li>
   Bachelor&rsquo;s Degree in a quantitative field (Mathematics, Engineering, Statistics, Science, Data Science/ AI); Advanced degrees preferred.
  </li>
  <li>
   Experience in Big Data platform like Databricks, Spark, Hive, Palantir Foundry etc.
  </li>
  <li>
   Experience in implementing AI solutions including OCR, Large Language Models, etc.
  </li>
  <li>
   Experienced with data modelling, design patterns, building highly scalable and secured analytical solutions.
  </li>
  <li>
   Proficiency in Python, SQL, PL/SQL, Spark and similar languages
  </li>
  <li>
   Strong analytical and problem-solving skills
  </li>
  <li>
   Experience working in a tech/ product environment is a plus
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Behavioural Competencies
  </strong>
 </p>
 <ul>
  <li>
   High-energy, ownership-driven mindset
  </li>
  <li>
   Strong problem-solving and analytical skills
  </li>
  <li>
   Excellent communication and collaboration abilities
  </li>
  <li>
   Comfortable navigating ambiguity and driving clarity
  </li>
  <li>
   Experience in agile/start-up environments preferred
  </li>
  <li>
   Successful track record of leading complex projects is a plus
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   As much as we would be delighted to entertain all applicants, due to the high volumes of applications, only successful applicants will be contacted within 14 business days.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   This job description is not all inclusive. Dubai Holding reserves the right to amend this job description at any time. Dubai Holding is an Equal Opportunity Employer, committed to a diverse and inclusive work environment.
  </strong>
 </p>
</div>


Crocs, Inc.

<div>
 At Crocs, Inc., every career offers a chance to make a real impact. No two journeys look the same. And that's exactly how we like it. Whether you&rsquo;re welcoming customers into our stores, collaborating with global teams at our headquarters, or keeping operations moving at our distribution centers, your impact is real and valued. At Crocs, Inc. you&rsquo;re not expected to fit a mold. You&rsquo;re encouraged to break it and create something better.
 <br/>
 <br/>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 <strong>
  Crocs
 </strong>
 is seeking an experienced
 <strong>
  Data Engineer
 </strong>
 to design, implement, and maintain
 <strong>
  scalable data pipelines, decoupled data infrastructure, dynamic transformations and comprehensive orchestration layer
 </strong>
 using a combination of
 <strong>
  Snowflake, DBT, Airflow, Azure Data Lake, GitHub,
 </strong>
 and other tools as needed including various AI models.
 <br/>
 <br/>
 In this role, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. As part of Enterprise Data Analytics team, you will help advance the adoption of
 <strong>
  data-driven insights and advanced AI analytics
 </strong>
 across multiple business domains within Crocs enterprise.
 <br/>
 <br/>
 <strong>
  <strong>
   What You'll Do
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Data Modeling &ndash; Design and implement scalable, high-quality data models that support the Enterprise Data Platform (EDP) leveraging best practices while aligning with business and technical constraints.
  </li>
  <li>
   ELT &ndash; Design and implement efficient, scalable, and maintainable data pipelines supporting both batch and near&ndash;real-time data processing.
  </li>
  <li>
   CI/CD &ndash; Automate code integration, testing, and deployment using tools such as GitHub Actions to enable fast, reliable, and consistent delivery of data pipelines.
  </li>
  <li>
   Engineering Best Practices &ndash; Apply modern engineering standards, including AI-assisted development, comprehensive end-to-end testing, agile methodologies, and robust CI/CD practices.
  </li>
  <li>
   Troubleshooting &ndash; Proactively identify and resolve data processing, data quality, and performance issues in a timely and effective manner.
  </li>
  <li>
   Continuous Automation &ndash; Wherever possible to streamline and optimize and scale data engineering workflows.
  </li>
  <li>
   Continuous Learning &ndash; Stay current with advancements in data, analytics, and AI/ML, actively building skills that enhance productivity and product quality. Demonstrate curiosity, adaptability, and a forward-thinking mindset.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   What You'll Bring to the Table
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree or equivalent in computer science, information technology, engineering, or equivalent technical degree.
  </li>
  <li>
   2+ years in a Data Engineering or Software Development role.
  </li>
  <li>
   Strong proficiency in SQL, DBT, Python, Snowflake, Airflow and Git.
  </li>
  <li>
   Experience designing data models following Kimbal Dimensional Modeling best practices.
  </li>
  <li>
   Experience working with modern ETL/ELT tools, such as Databricks.
  </li>
  <li>
   Prior experience working in a cloud platform (Azure preferred).
  </li>
  <li>
   Knowledge of Astronomer and Apache NiFi preferred
  </li>
  <li>
   Experience with REST API and Streamlit, preferred
  </li>
  <li>
   Experience in distributed computing, preferred
   <br/>
   <br/>
  </li>
 </ul>
 The Company is an Equal Opportunity Employer committed to a diverse and inclusive work environment. We accept applications on an ongoing basis.
 <br/>
 <br/>
 All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability, or any other classification protected by law.
 <br/>
 <br/>
 Title: Data Engineer
 <br/>
 <br/>
 Salary or Pay Range: $110,000 - $125,000
 <br/>
 <br/>
 Pay offered will vary based on job-related factors such as location, experience, training, skills, and abilities.
 <br/>
 <br/>
 At Crocs, Inc. we believe in the power of a blend of in-person and virtual collaboration to drive creativity and strengthen relationships. Your participation in this flexible schedule plays a key role in building a connected and successful team. In-office requirements vary by our work personas: Resident (5 days), Collaborator (4 days), Connector (2-3 days), Explorer (fully remote). This role has been aligned to the Collaborator persona.
 <br/>
 <br/>
 This position is eligible to participate in a company incentive program.
 <br/>
 <br/>
 This position is eligible for company benefits including but not limited to medical, dental, and vision coverage, life and AD&amp;D, short and long-term disability coverage, paid time off, employee assistance, participation in a 401k program that includes company match, and many other additional voluntary benefits.
 <br/>
 <br/>
 The application window is 45 days, but applicants are encouraged to apply as soon as possible after the posting date in order to ensure optimal consideration. The posting will be removed if the job is filled before the application window deadline.
 <br/>
 <br/>
 Job Category: Corporate
</div>


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