data engineer iii

VCU Health System

<div>We&rsquo;re seeking a Data Engineer III to help lead the design and evolution of our enterprise data platform in support of both clinical quality improvement and research. In this senior‑level, hands‑on role, you&rsquo;ll architect and scale modern data pipelines that power analytics, insights, and decision‑making across a complex academic healthcare environment. You&rsquo;ll take ownership of core data engineering patterns, help define enterprise data standards and strategy, and mentor other engineers&mdash;while remaining deeply engaged in building cloud‑based solutions that transform diverse data into trusted assets that advance patient care, operational excellence, and scientific discovery. 
 
The Data Engineer is responsible for designing, developing and maintaining scalable data pipelines and data infrastructure transforming raw data into insights.
 
 
Leveraging expertise in data engineering, data management, data operations and governance frameworks, this position will collaborate with cross-functional teams to architect scalable and efficient data pipelines, optimize data storage and retrieval systems, and ensure data quality and integrity throughout the data lifecycle.
Essential Job Statements<ul><li>
Leads the design and implementation of scalable data pipelines for ingesting, transforming, and loading multi-format, batch or streaming data from various sources into enterprise Data Lakehouse.</li><li>
Ensures data quality and integrity through data cleansing, validation, and transformation techniques.</li><li>
Automates data processing workflows using scripting languages and orchestration tools.</li><li>
Builds and deploys RESTful API&rsquo;s and web services for data access and data requests.</li><li>
Helps and orchestrates the definition of data management strategy and roadmap for the organization.</li><li>
Collaborates with data architects, data engineers, and product managers to align data solutions with business strategy.</li><li>
Stays current with industry trends, vendor product offerings, and evolving data technologies to ensure the organization leverages the best modern data engineering tools.</li><li>
Leads the development and maintenance of technical design documents, coding best practices and standards to ensure consistent and reliable data management processes are in place.</li><li>
Responsible for maintaining legacy technologies and processes as new ones are adopted.</li><li>
Mentors junior Data Engineers.</li></ul>
Patient Population
Not applicable to this position.
Employment Qualifications 
Required Education:
Bachelor&rsquo;s Degree in Business, IT, Math, Data Analytics, Engineering, or related discipline
Combination of education and experience may be considered in lieu of a degree.
Preferred Education:
Master&rsquo;s degree in Business, IT, Math, Data Analytics, Engineering or related discipline
Licensure/Certification Required:
Licensure/Certification Preferred:
Minimum Qualifications
Years and Type of Required Experience
8+ years of experience in Data Engineering, Data Management or Data Warehouse/Lakehouse design and development.
5+ years of experience in Python/PySpark for building and maintaining data pipelines.
3+ years of experience with cloud based modern data platforms and services (e.g., Azure, GCP or AWS).
Other Knowledge, Skills and Abilities Required:
Expert knowledge of database systems, data modeling techniques, and SQL proficiency.
Substantial experience creating and enhancing ETL and ELT processes.
Significant experience working with JSON/YAML/XML/Parquet and other open-source data interchange and storage formats.
Experience working with big data technologies like Spark, Kafka, NoSQL DB, Splunk etc.
Significant experience with agile development processes and concepts.
Strong knowledge of DevOps practices and CI/CD processes.
Knowledge of Microservices architecture, Data Product and Data Mesh concepts.
Other Knowledge, Skills and Abilities Preferred:
Displays intellectual curiosity and integrity.
Experience in healthcare environment.
Working Conditions
Physical Requirements
Physical Demands:
Work Position: Sitting
Additional Physical Requirements/ Hazards
Physical Requirements:
Hazards:
Mental/Sensory &ndash; Emotional
Mental / Sensory: Strong Recall, Reasoning, Problem Solving, Hearing, Speak Clearly, Write Legibly, Reading, Logical Thinking
Emotional: Fast-paced environment, Able to Handle Multiple Priorities, Frequent and Intense Customer Interactions, Able to Adapt to Frequent Change
Days
EEO Employer/Disabled/Protected Veteran/41 CFR 60-1.4.</div>

Data Engineer III

Wayvia (formerly PriceSpider)

<div>
 
 Company Overview:
 
 
 
 At Wayvia, we help the world's top brands stay ahead&mdash;using AI, data, and innovation to shape the future of commerce. Whether you're charting a new path or leveling up your journey, Wayvia is where your career can go further. We'd love to meet you.
 
 
 We help global brands connect with their shoppers in ways that are relevant, respectful, and real. And we do the same for each other&mdash;with trust, transparency, and the human connection that makes great work possible.
 
 
 At Wayvia, you'll find a team that's curious, collaborative, and always up for solving what's next. We move fast, think boldly, and support one another in building something that matters&mdash;for our clients, for shoppers, and for each other.
 
 
 
 Job Brief:
 
 
 
 The Data Engineer III will lead the development and maintenance of our data infrastructure and tools, ensuring data integrity and availability while driving the strategic direction of data initiatives.
 
 
 
 Essential Functions &amp; Responsibilities:
 
 
 
 <ul>
 <li>
 Lead the design, development, testing, deployment, maintenance, and improvement of advanced data engineering solutions and pipelines.
 </li>
 <li>
 Prioritize, manage, and deliver multiple high-impact projects.
 </li>
 <li>
 Establish data quality standards &mdash; automated tests, anomaly detection, and freshness SLAs
 </li>
 <li>
 Write and maintain dbt models, tests, and documentation to ensure data quality and consistency
 </li>
 <li>
 Identify infrastructure improvements to reduce cost, improve reliability, and eliminate single points of failure
 </li>
 <li>
 Build and govern canonical dbt models in Snowflake using dimensional modeling principles, ensuring consistent metric definitions and entity relationships across Looker and the MCP server for both BI and AI consumers
 </li>
 <li>
 Own dbt model governance &mdash; standardize modeling patterns, enforce testing and documentation requirements, and manage the project structure across domains
 </li>
 <li>
 Define and maintain a consistent semantic layer &mdash; metric definitions, business logic, and entity relationships &mdash; ensuring alignment across BI tools, the MCP server, and AI consumers regardless of the tooling layer
 </li>
 <li>
 Support Snowflake administration/Looker administration alongside other data platform team members
 
 
 </li>
 </ul>
 
 Minimum Qualifications:
 
 
 
 <ul>
 <li>
 BS degree in Computer Science or related field or equivalent practical experience.
 </li>
 <li>
 5+ years of data engineering experience, with a track record of designing, building, and maintaining ELT pipelines and dimensional data models in production environments
 </li>
 <li>
 Expertise in processing and integrating large-scale data from multiple sources.
 </li>
 <li>
 Advanced SQL query skills with complex joins and common-table expressions.
 </li>
 <li>
 Strong hands-on Snowflake experience (prior admin experience a plus, but not required)
 </li>
 <li>
 Proficiency with dbt &mdash; production-grade model development, testing, documentation, and project governance
 </li>
 <li>
 Proficient coding skills in Python, Java, or similar languages.
 </li>
 <li>
 Proficiency in Git-based version control and CI/CD pipelines for data infrastructure
 </li>
 <li>
 Familiarity with workflow orchestration tools or Data Orchestration Platform &mdash; (Airflow/Perfect/Dagster, etc)
 </li>
 <li>
 Strong sense of data ownership &mdash; you treat data as a product and hold a high bar for quality and reliability
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Experience with data observability and lineage tools
 </li>
 <li>
 Knowledge of AI/ML
 </li>
 <li>
 Experience building or contributing to a semantic layer or canonical data model, with emphasis on consistent metric and entity definitions across consumers
 </li>
 <li>
 Experience with Looker development or administration
 </li>
 <li>
 Background in e-commerce, retail analytics, or SaaS data platforms
 
 
 </li>
 </ul>
 
 Benefits:
 
 
 
 Wayvia encourages a healthy work-life balance and commitment to employee wellbeing. We are consistently evaluating areas to support and foster a community of engaged employees. Wayvia is an international employer so some benefits offering will vary from country to country, however, below you can see employer sponsored contributions:
 
 
 <ul>
 <li>
 Flexible work-from-home arrangements
 </li>
 <li>
 401K Match
 </li>
 <li>
 Flexible vacation
 </li>
 <li>
 Medical/Dental/Vision
 </li>
 <li>
 16 weeks of paid parental leave (US)
 </li>
 <li>
 Technical stipend
 </li>
 <li>
 Professional development programs
 </li>
 <li>
 Wellness programs
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 This is a remote position open to candidates based in the United States.
 
 
 
 Compensation:
 
 
 
 The salary for this role is $130,000-160,000. Please note that our salary ranges are based on current market data and the offered compensation may vary based on experience, skills, location, and other factors permitted by law.
 
 
 
 Wayvia is an equal opportunity employer that is committed to inclusion and diversity.
 
</div>

Wayvia

<div></div><div><div><div>Company Overview:</div>
<div>At Wayvia, we help the world's top brands stay ahead&mdash;using AI, data, and innovation to shape the future of commerce. Whether you're charting a new path or leveling up your journey, Wayvia is where your career can go further. We'd love to meet you.</div>
<div></div>
<div>We help global brands connect with their shoppers in ways that are relevant, respectful, and real. And we do the same for each other&mdash;with trust, transparency, and the human connection that makes great work possible.</div>
<div></div>
<div>At Wayvia, you'll find a team that's curious, collaborative, and always up for solving what's next. We move fast, think boldly, and support one another in building something that matters&mdash;for our clients, for shoppers, and for each other.</div></div><div> 

Job Brief:

 The Data Engineer III will lead the development and maintenance of our data infrastructure and tools, ensuring data integrity and availability while driving the strategic direction of data initiatives.

 Essential Functions &amp; Responsibilities:
<ul>
<li>Lead the design, development, testing, deployment, maintenance, and improvement of advanced data engineering solutions and pipelines.</li>
<li>Prioritize, manage, and deliver multiple high-impact projects.</li>
<li>Establish data quality standards &mdash; automated tests, anomaly detection, and freshness SLAs</li>
<li>Write and maintain dbt models, tests, and documentation to ensure data quality and consistency</li>
<li>Identify infrastructure improvements to reduce cost, improve reliability, and eliminate single points of failure</li>
<li>Build and govern canonical dbt models in Snowflake using dimensional modeling principles, ensuring consistent metric definitions and entity relationships across Looker and the MCP server for both BI and AI consumers</li>
<li>Own dbt model governance &mdash; standardize modeling patterns, enforce testing and documentation requirements, and manage the project structure across domains</li>
<li>Define and maintain a consistent semantic layer &mdash; metric definitions, business logic, and entity relationships &mdash; ensuring alignment across BI tools, the MCP server, and AI consumers regardless of the tooling layer</li>
<li>Support Snowflake administration/Looker administration alongside other data platform team members</li>
</ul>
Minimum Qualifications:
<ul>
<li>BS degree in Computer Science or related field or equivalent practical experience.</li>
<li>5+ years of data engineering experience, with a track record of designing, building, and maintaining ELT pipelines and dimensional data models in production environments</li>
<li>Expertise in processing and integrating large-scale data from multiple sources.</li>
<li>Advanced SQL query skills with complex joins and common-table expressions.</li>
<li>Strong hands-on Snowflake experience (prior admin experience a plus, but not required)</li>
<li>Proficiency with dbt &mdash; production-grade model development, testing, documentation, and project governance</li>
<li>Proficient coding skills in Python, Java, or similar languages.</li>
<li>Proficiency in Git-based version control and CI/CD pipelines for data infrastructure</li>
<li>Familiarity with workflow orchestration tools or Data Orchestration Platform &mdash; (Airflow/Perfect/Dagster, etc)</li>
<li>Strong sense of data ownership &mdash; you treat data as a product and hold a high bar for quality and reliability</li>
</ul>
 Preferred Qualifications:
<ul>
<li>Experience with data observability and lineage tools</li>
<li>Knowledge of AI/ML</li>
<li>Experience building or contributing to a semantic layer or canonical data model, with emphasis on consistent metric and entity definitions across consumers</li>
<li>Experience with Looker development or administration</li>
<li>Background in e-commerce, retail analytics, or SaaS data platforms</li>
</ul>
Benefits: 
Wayvia encourages a healthy work-life balance and commitment to employee wellbeing. We are consistently evaluating areas to support and foster a community of engaged employees. Wayvia is an international employer so some benefits offering will vary from country to country, however, below you can see employer sponsored contributions:
<ul>
<li>Flexible work-from-home arrangements</li>
<li>401K Match</li>
<li>Flexible vacation</li>
<li>Medical/Dental/Vision</li>
<li>16 weeks of paid parental leave (US)</li>
<li>Technical stipend</li>
<li>Professional development programs</li>
<li>Wellness programs</li>
</ul>
Location: 
This is a remote position open to candidates based in the United States.

Compensation: 
The salary for this role is $130,000-160,000. Please note that our salary ranges are based on current market data and the offered compensation may vary based on experience, skills, location, and other factors permitted by law. 


Wayvia is an equal opportunity employer that is committed to inclusion and diversity.</div></div>

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Employer: Amazon.com Services LLC 
Position: Data Engineer III - AMZ27926.1 
Location: Austin, TX 
 
Multiple Positions Available: 
 
Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics. Implement data structures using best practices in data modeling, ETL/ELT processes, SQL, Oracle, and OLAP technologies. Provide on-line reporting and analysis using OBIEE business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources. Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture. Analyze source data systems and drive best practices in source teams. Participate in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance. Produce comprehensive, usable dataset documentation and metadata. Evaluate and make decisions around dataset implementations designed and proposed by peer data engineers. Evaluate and make decisions around the use of new or existing software products and tools. Mentor junior data engineers. 
 
(40 hours / week, 8:00am-5:00pm, Salary Range $174533 - $209100) 
 
Amazon.com is an Equal Opportunity &ndash; Affirmative Action Employer &ndash; Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation<h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2>
Master's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and three years of experience in the job offered, or as an Operations Research Analyst, Database Developer, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and seven years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master's degree and three years of experience. Must have one year of experience in the following skill(s): (1) developing and operating large-scale data structures for business intelligence analytics using each of the following: (i.) ETL/ELT processes; (ii.) OLAP technologies; (iii.) data modeling; (iv.) SQL; and (v.) Oracle.<h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2>
All applicants must meet all the above listed requirements. 
 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Data Engineer III - AMZ27926.1

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
MULTIPLE POSITIONS AVAILABLE 
 
Employer: GOODREADS LLC 
Offered Position: Data Engineer III 
Job Location: Seattle, Washington 
Job Number: AMZ9689619 
 
Position Responsibilities: 
 
Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics. Implement data structures using best practices in data modeling, ETL/ELT processes, SQL, Oracle, and OLAP technologies. Provide on-line reporting and analysis using OBIEE business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources. Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture. Analyze source data systems and drive best practices in source teams. Participate in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance. Produce comprehensive, usable dataset documentation and metadata. Evaluate and make decisions around dataset implementations designed and proposed by peer data engineers. Evaluate and make decisions around the use of new or existing software products and tools. Mentor junior data engineers. 
 
Position Requirements: 
 
Master's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and three years of experience in the job offered, or as an Operations Research Analyst, Database Developer, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and seven years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master's degree and three years of experience. Must have one year of experience in the following skill(s): (1) developing and operating large-scale data structures for business intelligence analytics using each of the following: (i.) ETL/ELT processes; (ii.) OLAP technologies; (iii.) data modeling; (iv.) SQL; and (v.) Oracle. 
 
Amazon.com is an Equal Opportunity-Affirmative Action Employer &ndash; Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation. 
 
40 hours / week, 8:00am-5:00pm, Salary Range $196,914/year to $209,100/year. 
 
Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit: 
https://www.aboutamazon.com/workplace/employee-benefits.#0000<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2>
Position Requirements: 
 
Master's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and three years of experience in the job offered, or as an Operations Research Analyst, Database Developer, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and seven years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master's degree and three years of experience. Must have one year of experience in the following skill(s): (1) developing and operating large-scale data structures for business intelligence analytics using each of the following: (i.) ETL/ELT processes; (ii.) OLAP technologies; (iii.) data modeling; (iv.) SQL; and (v.) Oracle.#0000<h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2>
Please see job description and the position requirements above. 
 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Data Engineer III - AMZ9689619

Bowhead

<div>Overview:
<div>
Data Analyst/ Data Engineer III 
Bowhead seeks a Data Analyst/ Data Engineer III to support the AF FIAR contract located at Joint Base Andrews, MD. AF FIAR provides audit and audit system remediation services for beginning-to-end support as it relates to audit remediation, sustainment, and financial statements reporting and analysis.</div><div></div><div> 
The Data Analyst/ Data Engineer III will create and maintain databases or development of data and analytics experience (i.e. creation of data visualizations, data analytic reports, data cleansing scripts and processes or performing technical data analytics).</div>
Responsibilities:
<ul><li>Build and deploy process automation and research and development of Artificial Intelligence/Machine Learning capability</li><li>
Provide direction to project teams and interact with government</li><li>
Encompass visualization and reporting techniques and toolsets to support the automation of day-to-day financial operations</li><li>
Utilize rapid development techniques which conform with current information technology protocols</li><li>
Monitor and sustain the execution of tools developed and correct any issues identified</li><li>
Analyze and review requests for producing ad-hoc data analytics solutions.</li><li>
Data analytical tool development</li><li>
Deliver all programming scripts and results of execution data</li><li>
Develop and provide training as necessary to ensure that users of data analytic tools and reporting capabilities understand the information.</li><li>
Track and facilitate metrics reporting; support the development of meeting agendas, briefing materials, and meeting minutes; and create desk procedures/standard operating procedures for continuity purposes.</li><li>
Other duties as assigned</li></ul>
Qualifications:
<ul><li>BA/S in a relevant technical field preferred. An additional four (4) years of relevant work experience may be substituted for education requirement.</li><li>
Eight (8+) years of relevant technical experience creating/maintaining databases or developing data and analytics experience</li><li>
Creation of data visualizations, data analytic reports, data cleansing scripts and processes or performing technical data analytics) for federal or state agencies or large, complex companies (greater than 1,000) employees</li><li>
Four (8+) years of Experience with Python, SQL, R, Scala, or Visual Basic</li><li>
Strong communication and leadership skills, with proven experience mentoring and leading technical teams.</li></ul><div> 
Nice to have:</div><ul><li>
Familiarity and experience with the Operational AF Financial Data Structure and Operational AF data Dictionary</li></ul><div>
Physical Demands:</div><ul><li>
Must be able to lift up to 25 pounds</li><li>
Must be able to stand and walk for prolonged amounts of time</li><li>
Must be able to twist, bend and squat periodically</li></ul><div>
SECURITY CLEARANCE REQUIREMENTS: Must be able to maintain a security clearance at the Secret level. US Citizenship is a requirement for this contract.</div><div></div><div> 
#LI-JS1</div></div>

Data Analyst/ Data Engineer III

UIC Alaska

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