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Travelers

<div>Who Are We?
Taking care of our customers, our communities and each other. That&rsquo;s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.
Compensation Overview
The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.
Salary Range
$109,300.00 - $180,200.00
Target Openings
1
What Is the Opportunity?
Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Data Engineer, you will play a key role in growing and transforming our analytics landscape. In addition to your strong analytical mind, you will bring your inquisitive attitude and ability to translate the stories found in data. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights. Applicants must be authorized to work for ANY employer in the U.S. The company does not sponsor/support H-1B petitions, TN, or Forms I-983/STEM OPT, for this role.
What Will You Do?<ul><li>
Build and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions.</li><li>
Design data solutions.</li><li>
Analyze sources to determine value and recommend data to include in analytical processes.</li><li>
Incorporate core data management competencies including data governance, data security and data quality.</li><li>
Collaborate within and across teams to support delivery and educate end users on data products/analytic environment.</li><li>
Perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate.</li><li>
Test data movement, transformation code, and data components.</li><li>
Perform other duties as assigned.
</li></ul>What Will Our Ideal Candidate Have?<ul><li>
Bachelor&rsquo;s Degree in STEM related field or equivalent.</li><li>
Six years of related experience.</li><li>
Hands-on experience building data pipelines using AWS Services (S3, Lambda, IAM) and Databricks.</li><li>
Hands-on experience programming and development experience with Python and PySpark.</li><li>
Experience with ETL development in data lake and data warehouse (preferably Snowflake).</li><li>
Experience with data streaming platforms (e.g., Confluent, Apache Kafka) is a plus</li><li>
Proficient use of tools, techniques, and manipulation including Cloud platforms, programming languages, and an understanding of software engineering practices.</li><li>
The ability to deliver work at a steady, predictable pace to achieve commitments, decompose work assignments into small batch releases, and contribute to tradeoff and negotiation discussions.</li><li>
Demonstrated track record of domain expertise including the ability to understand technical concepts and possess in-depth knowledge of immediate systems worked on.</li><li>
Proven problem solving skills including debugging skills, allowing you to determine source of issues in unfamiliar code or systems and the ability to recognize and solve repetitive problems.</li><li>
Strong verbal and written communication skills with the ability to interact with team members and business partners.</li><li>
Leadership - Intermediate leadership skills with a proven track record of self-motivation in identifying personal growth opportunities.</li></ul>
What is a Must Have?<ul><li>
Bachelor&rsquo;s degree in computer science, related STEM field, or its equivalent in education and/or work experience.</li><li>
2 additional years of software/data engineering experience.</li></ul>
What Is in It for You?<ul><li>
Health Insurance: Employees and their eligible family members &ndash; including spouses, domestic partners, and children &ndash; are eligible for coverage from the first day of employment.</li><li>
Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers.</li><li>
Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.</li><li>
Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.</li><li>
Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.</li></ul>
Employment Practices
Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences.
In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions.
If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you.
Travelers reserves the right to fill this position at a level above or below the level included in this posting.
To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/.</div>

Data Engineer I (AWS, Databricks, PySpark)

<div></div><div><div><div><div><ul><div>1 Opening</div>
 <div>Atlanta</div></ul></div><div> 
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader">Role description</h3>
<div>Senior Data Engineer &mdash; Customer Data Platform

Lead I - Data Engineering 


Who We Are:

Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.

UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.

With us, you&rsquo;ll create a boundless impact that transforms your career&mdash;and the lives of people across the world.

Visit us at UST.com. 


You Are:

We are seeking a Senior Data Engineer to lead the design and development of the scalable, high-performance data architecture that underpins our Customer Data Platform (CDP) &mdash; the authoritative source of truth for customer data across the entire US adult population. 


The opportunity:
<ul><li> Architect and develop scalable, resilient batch and streaming data pipelines using ADF, Databricks, and Spark &mdash; designed for the throughput and reliability CDP demands at population scale.</li></ul>
<ul><li> Design and implement end-to-end data architecture across ADLS, Snowflake, Cosmos DB, and SQL Server, ensuring optimal storage strategies for different customer data workloads.</li></ul>
<ul><li> Define and enforce data modeling standards, data contracts, and schema evolution strategies that protect the integrity of CDP as the single source of truth.</li></ul>
<ul><li> Build and maintain data quality, reconciliation, and observability frameworks &mdash; ensuring every customer profile meets the accuracy and completeness thresholds required for trusted, authoritative data.</li></ul>
<ul><li> Optimize performance, scalability, and cost efficiency of large-scale distributed data systems processing billions of customer records.</li></ul>
<ul><li> Develop and manage data ingestion frameworks for APIs, event streams (Event Hub/Kafka), and enterprise systems &mdash; ensuring no customer touchpoint is missed.</li></ul> 


This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required. 
What you need:
<ul><li> Bachelor's or Master's degree in Computer Science, Engineering, or related field</li></ul>
<ul><li> 6+ years of experience in data engineering and distributed data systems</li></ul>
<ul><li> Proven experience designing and implementing enterprise-scale data platforms serving high-volume, high-reliability use cases</li></ul>
<ul><li> Strong experience in cloud-native architectures (Azure preferred)</li></ul>
<ul><li> Technical Skills</li></ul>
<ul><li> Advanced programming: Python, Spark (PySpark/Scala), SQL</li></ul>
<ul><li> Azure ecosystem: ADF, ADLS, Databricks</li></ul>
<ul><li> Data platforms: Snowflake, Cosmos DB, SQL Server</li></ul>
<ul><li> Strong expertise in ETL/ELT design, streaming architectures, and data modeling for customer-centric data domains</li></ul>
<ul><li> Experience with API integrations and event-driven architectures at scale</li></ul>
<ul><li> Hands-on experience with data quality frameworks, reconciliation techniques, and monitoring &mdash; with a focus on trust and accuracy</li></ul>
<ul><li> Familiarity with data support for AI/ML use cases (e.g., feature pipelines, data preparation, metadata management for identity resolution)</li></ul>
<ul><li> Basic understanding of RAG, vector search, and LLM-driven applications (supporting role, not primary ownership)</li></ul>
<ul><li> Experience implementing data governance, lineage, and access controls in regulated environments</li></ul>
<ul><li> Expertise in performance tuning and cost optimization for population-scale data processing</li></ul>
<ul><li> Knowledge, Skills, and Abilities</li></ul>
<ul><li> Strong system design and architectural thinking for data platforms that must be both authoritative and performant</li></ul>
<ul><li> Ability to handle large-scale, complex data ecosystems spanning hundreds of source systems</li></ul> 


Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.

Role Location: Georgia

Compensation Range: $70,000-$105,000 


Benefits

Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits. Regular employees may purchase additional voluntary short-term disability benefits, and participate in a Health Savings Account (HSA) as well as a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines. Benefits offerings vary in Puerto Rico.

Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching.

Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) program with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance.

Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).

All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws. 


What we believe:

We proudly embrace the values that have shaped UST since day one. We build our culture of Humility, Humanity, and Integrity. These values inspire us to nurture a people-first, human centric culture that fosters diversity, prioritizes sustainable solutions, and keeps our people and clients at the forefront of all decisions. 


Humility:

We will listen, learn, be empathetic and help selflessly in our interactions with everyone.

Humanity:

Through business, we will better the lives of those less fortunate than ourselves.

Integrity:

We honor our commitments and act with responsibility in all our relationships. 
<div></div>
<div>
Equal Employment Opportunity Statement</div><div> 
UST is an Equal Opportunity Employer.</div> 
<div></div>

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable characteristics protected by law. We will consider qualified applicants with arrest or conviction records in accordance with state and local laws and &ldquo;fair chance&rdquo; ordinances.
<div>
UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.</div> 
<div></div>
<div>
#UST</div>
<div>
#CB</div>
<div>
#LI-AP4</div></div>
<h3 class="jobSectionHeader">Skills</h3>
<div>data engineering,machine learning,data modelling,ensemble approaches,ai/ml engineering</div>
<h3 class="jobSectionHeader">Benefits</h3>
<h3 class="jobSectionHeader">Compensation range: $ 70,000.00 to 105,000.00 per year</h3></div></div></div>
 <div><h3 class="jobSectionHeader">About UST</h3>
<div>UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div></div>

Senior Data Engineer — Customer Data Platform

<div></div><div><div><div><div><ul><div>1 Opening</div>
 <div>Atlanta</div></ul></div><div> 
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader">Role description</h3>
<div>Data Engineer &mdash; Customer Data Platform

Lead I - Data Engineering 


Who We Are:

Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.

UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.

With us, you&rsquo;ll create a boundless impact that transforms your career&mdash;and the lives of people across the world.

Visit us at UST.com. 


You Are:

We are seeking a Data Engineer to build and maintain the foundational data pipelines that power our Customer Data Platform (CDP) &mdash; the authoritative source of truth for customer data across the entire US adult population. 


The opportunity:
<ul><li> Develop and maintain batch and streaming data pipelines using Azure Data Factory (ADF), Databricks, and Spark that ingest customer data from dozens of source systems into CDP</li></ul>
<ul><li> Build data ingestion frameworks from APIs, event streams (Event Hub/Kafka), and enterprise databases &mdash; ensuring every customer touchpoint feeds into the unified profile</li></ul>
<ul><li> Perform data transformation, cleansing, and enrichment using Python and Spark to maintain the accuracy and completeness that an authoritative source of truth demands</li></ul>
<ul><li> Implement data validation and quality checks at every pipeline stage &mdash; catching anomalies, duplicates, and schema drift before they erode trust in customer profiles</li></ul>
<ul><li> Work with ADLS, Snowflake, SQL Server, and Cosmos DB to store and process customer data across bronze, silver, and gold layers</li></ul>
<ul><li> Support data modeling and schema design under guidance from senior engineers, ensuring alignment with CDP's unified customer profile standards</li></ul>
<ul><li> Build curated data layers that serve analytics, reporting, personalization, and AI/ML use cases with production-ready, well-documented datasets</li></ul> 


This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required. 
What you need:
<ul><li> Bachelor's degree in Computer Science, Engineering, or related field</li></ul>
<ul><li> 3+ years of experience in data engineering or related roles</li></ul>
<ul><li> Experience working in cloud-based data platforms (Azure preferred)</li></ul>
<ul><li> Experience with Agile development methodologies</li></ul>
<ul><li> Technical Skills</li></ul>
<ul><li> Programming: Python (required), SQL, basic Spark (PySpark)</li></ul>
<ul><li> Azure stack: ADF, ADLS, Databricks (working knowledge)</li></ul>
<ul><li> Databases: Snowflake, SQL Server, Cosmos DB (basic to intermediate)</li></ul>
<ul><li> Solid understanding of ETL/ELT concepts and data pipeline design patterns</li></ul>
<ul><li> Hands-on knowledge with APIs and data integration patterns for diverse source systems</li></ul>
<ul><li> Experience with data quality checks, logging, monitoring, and ing</li></ul>
<ul><li> Understanding of data lineage, metadata management, and how data supports downstream AI/ML workflows</li></ul>
<ul><li> Knowledge of CI/CD and orchestration tools like Control-M</li></ul>
<ul><li> Knowledge, Skills, and Abilities</li></ul>
<ul><li> Strong analytical and problem-solving skills with attention to data accuracy</li></ul>
<ul><li> Ability to work with large datasets and distributed systems at population scale</li></ul>
<ul><li> Eagerness to learn and adapt to emerging AI and data technologies</li></ul>
<ul><li> Understanding of why data quality and timeliness matter for customer-facing experiences</li></ul> 


Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.

Role Location: Georgia

Compensation Range: $70,000-$105,000 


Benefits

Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits. Regular employees may purchase additional voluntary short-term disability benefits, and participate in a Health Savings Account (HSA) as well as a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines. Benefits offerings vary in Puerto Rico.

Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching.

Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) program with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance.

Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).

All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws. 


What we believe:

We proudly embrace the values that have shaped UST since day one. We build our culture of Humility, Humanity, and Integrity. These values inspire us to nurture a people-first, human centric culture that fosters diversity, prioritizes sustainable solutions, and keeps our people and clients at the forefront of all decisions. 


Humility:

We will listen, learn, be empathetic and help selflessly in our interactions with everyone.

Humanity:

Through business, we will better the lives of those less fortunate than ourselves.

Integrity:

We honor our commitments and act with responsibility in all our relationships. 
<div></div>
<div>
Equal Employment Opportunity Statement</div><div> 
UST is an Equal Opportunity Employer.</div> 
<div></div>

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable characteristics protected by law. We will consider qualified applicants with arrest or conviction records in accordance with state and local laws and &ldquo;fair chance&rdquo; ordinances.
<div>
UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.</div> 
<div></div>
<div>
#UST</div>
<div>
#CB</div>
<div>
#LI-AP4</div></div>
<h3 class="jobSectionHeader">Skills</h3>
<div>data engineering,machine learning,data modelling,ensemble approaches,ai/ml engineering</div>
<h3 class="jobSectionHeader">Benefits</h3>
<h3 class="jobSectionHeader">Compensation range: $ 70,000.00 to 105,000.00 per year</h3></div></div></div>
 <div><h3 class="jobSectionHeader">About UST</h3>
<div>UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div></div>

Data Engineer — Customer Data Platform

<div>
 
 Role Description
 
 
 
 
 Data Engineer &mdash; Customer Data Platform
 
 
 
 
 Lead I - Data Engineering
 
 
 
 
 Who We Are
 
 
 
 Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.
 
 
 UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.
 
 
 With us, you&rsquo;ll create a boundless impact that transforms your career&mdash;and the lives of people across the world.
 
 
 Visit us at UST.com.
 
 
 
 You Are
 
 
 
 We are seeking a Data Engineer to build and maintain the foundational data pipelines that power our Customer Data Platform (CDP) &mdash; the authoritative source of truth for customer data across the entire US adult population.
 
 
 
 The Opportunity
 
 
 
 <ul>
 <li>
 Develop and maintain batch and streaming data pipelines using Azure Data Factory (ADF), Databricks, and Spark that ingest customer data from dozens of source systems into CDP
 </li>
 <li>
 Build data ingestion frameworks from APIs, event streams (Event Hub/Kafka), and enterprise databases &mdash; ensuring every customer touchpoint feeds into the unified profile
 </li>
 <li>
 Perform data transformation, cleansing, and enrichment using Python and Spark to maintain the accuracy and completeness that an authoritative source of truth demands
 </li>
 <li>
 Implement data validation and quality checks at every pipeline stage &mdash; catching anomalies, duplicates, and schema drift before they erode trust in customer profiles
 </li>
 <li>
 Work with ADLS, Snowflake, SQL Server, and Cosmos DB to store and process customer data across bronze, silver, and gold layers
 </li>
 <li>
 Support data modeling and schema design under guidance from senior engineers, ensuring alignment with CDP's unified customer profile standards
 </li>
 <li>
 Build curated data layers that serve analytics, reporting, personalization, and AI/ML use cases with production-ready, well-documented datasets
 
 
 </li>
 </ul>
 This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.
 
 
 
 What You Need
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Engineering, or related field
 </li>
 <li>
 3+ years of experience in data engineering or related roles
 </li>
 <li>
 Experience working in cloud-based data platforms (Azure preferred)
 </li>
 <li>
 Experience with Agile development methodologies
 </li>
 <li>
 Technical Skills
 </li>
 <li>
 Programming: Python (required), SQL, basic Spark (PySpark)
 </li>
 <li>
 Azure stack: ADF, ADLS, Databricks (working knowledge)
 </li>
 <li>
 Databases: Snowflake, SQL Server, Cosmos DB (basic to intermediate)
 </li>
 <li>
 Solid understanding of ETL/ELT concepts and data pipeline design patterns
 </li>
 <li>
 Hands-on knowledge with APIs and data integration patterns for diverse source systems
 </li>
 <li>
 Experience with data quality checks, logging, monitoring, and ing
 </li>
 <li>
 Understanding of data lineage, metadata management, and how data supports downstream AI/ML workflows
 </li>
 <li>
 Knowledge of CI/CD and orchestration tools like Control-M
 </li>
 <li>
 Knowledge, Skills, and Abilities
 </li>
 <li>
 Strong analytical and problem-solving skills with attention to data accuracy
 </li>
 <li>
 Ability to work with large datasets and distributed systems at population scale
 </li>
 <li>
 Eagerness to learn and adapt to emerging AI and data technologies
 </li>
 <li>
 Understanding of why data quality and timeliness matter for customer-facing experiences
 
 
 </li>
 </ul>
 Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.
 
 
 
 Role Location: Georgia
 
 
 
 
 Compensation Range
 
 : $70,000-$105,000
 
 
 
 Benefits
 
 
 
 Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits. Regular employees may purchase additional voluntary short-term disability benefits, and participate in a Health Savings Account (HSA) as well as a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines. Benefits offerings vary in Puerto Rico.
 
 
 Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching.
 
 
 Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) program with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance.
 
 
 Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).
 
 
 All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws.
 
 
 
 What We Believe
 
 
 
 We proudly embrace the values that have shaped UST since day one. We build our culture of Humility, Humanity, and Integrity. These values inspire us to nurture a people-first, human centric culture that fosters diversity, prioritizes sustainable solutions, and keeps our people and clients at the forefront of all decisions.
 
 
 
 Humility
 
 
 
 We will listen, learn, be empathetic and help selflessly in our interactions with everyone.
 
 
 
 Humanity
 
 
 
 Through business, we will better the lives of those less fortunate than ourselves.
 
 
 
 Integrity
 
 
 
 We honor our commitments and act with responsibility in all our relationships.
 
 
 
 Equal Employment Opportunity Statement
 
 
 
 UST is an Equal Opportunity Employer.
 
 
 All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable characteristics protected by law. We will consider qualified applicants with arrest or conviction records in accordance with state and local laws and &ldquo;fair chance&rdquo; ordinances.
 
 
 UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.
 
 
 #UST
 
 
 #CB
 
 
 
 Skills
 
 
 
 data engineering,machine learning,data modelling,ensemble approaches,ai/ml engineering
 
 
</div>

Honeywell

<div>
 
 Job Description
 
 
 
 As a Data Engineer, you will be part of a high-performing global team delivering AI- and data-driven solutions for Honeywell&rsquo;s industrial customers, with a focus on IoT and real-time data processing. In this role, you will architect and implement scalable data pipelines and platforms that enable advanced analytics and AI capabilities, including large-scale machine learning models, intelligent automation, and real-time inference. You will work closely with cross-functional engineering and product teams at the intersection of IoT telemetry and modern data technologies to develop reliable, high-impact industrial solutions.
 
 
 You will report directly to our Data Engineering Manager and you&rsquo;ll work out of our Atlanta, GA location on a Hybrid work schedule. Note: for the first 90 days, new hires must be prepared to work 100% onsite M-F.
 
 
 
 Key Responsibilities
 
 
 
 
 Data Engineering &amp; AI Pipeline Development:
 
 
 
 <ul>
 <li>
 Design and implement scalable data architectures to process high-volume IoT sensor data and telemetry streams, ensuring reliable data capture and processing for AI/ML workloads
 </li>
 <li>
 Build and maintain data pipelines for AI product lifecycle, including training data preparation, feature engineering, and inference data flows
 </li>
 <li>
 Develop and optimize RAG (Retrieval Augmented Generation) systems, including vector databases, embedding pipelines, and efficient retrieval mechanisms
 </li>
 <li>
 Create robust data integration solutions that combine industrial IoT data streams with enterprise data sources for AI model training and inference
 
 
 </li>
 </ul>
 
 DataOps
 
 
 
 <ul>
 <li>
 Implement DataOps practices to ensure continuous integration and delivery of data pipelines powering AI solutions
 </li>
 <li>
 Design and maintain automated testing frameworks for data quality, data drift detection, and AI model performance monitoring
 </li>
 <li>
 Create self-service data assets enabling data scientists and ML engineers to access and utilize data efficiently
 </li>
 <li>
 Design and maintain automated documentation systems for data lineage and AI model provenance
 
 
 </li>
 </ul>
 
 Collaboration &amp; Innovation
 
 
 
 <ul>
 <li>
 Partner with ML engineers and data scientists to implement efficient data workflows for model training, fine-tuning, and deployment
 </li>
 <li>
 Drive continuous improvement in data engineering practices and tooling
 </li>
 <li>
 Establish best practices for data pipeline development and maintenance in AI contexts
 </li>
 <li>
 Drive projects to completion while working in an agile environment with evolving requirements in the rapidly changing AI landscape
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 YOU MUST HAVE
 
 
 
 <ul>
 <li>
 Minimum 3 years of experience in data engineering with a strong grasp of Change Data Capture (CDC), ELT/ETL workflows, streaming replication, and data quality frameworks
 </li>
 <li>
 Deep expertise in building scalable data pipelines using Databricks, including Unity Catalog and Delta Live Tables
 </li>
 <li>
 Strong hands-on proficiency with PySpark for distributed data processing and transformation
 </li>
 <li>
 Solid experience working with cloud platforms such as Azure, GCP, and Databricks, especially in designing and implementing AI/ML-driven data workflows
 </li>
 <li>
 Proficient in CI/CD practices using GitHub Actions, Bitbucket, Bamboo, and Octopus Deploy to automate and manage data pipeline deployments.
 
 
 </li>
 </ul>
 
 WE VALUE
 
 
 
 <ul>
 <li>
 Experience building solutions on RAG and Agentic architectures and working with LLM-powered applications
 </li>
 <li>
 Expertise in real-time data processing frameworks (Apache Spark Streaming, Structured Streaming)
 </li>
 <li>
 Knowledge of MLOps practices and experience building data pipelines for AI model deployment
 </li>
 <li>
 Experience with time-series databases and IoT data modeling patterns
 </li>
 <li>
 Familiarity with containerization (Docker) and orchestration (Kubernetes) for AI workloads
 </li>
 <li>
 Strong background in data quality implementation for AI training data
 </li>
 <li>
 Experience working with distributed teams and cross-functional collaboration
 </li>
 <li>
 Knowledge of data security and governance practices for AI systems
 </li>
 <li>
 Experience working on analytics projects with Agile and Scrum Methodologies
 
 
 </li>
 </ul>
 
 US PERSON REQUIREMENT
 
 
 
 Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization.
 
 
 
 Benefits Of Working For Honeywell
 
 
 
 In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: click here
 
 
 
 About Honeywell
 
 
 
 Honeywell International Inc. (NYSE: HON) invents and commercializes technologies that address some of the world&rsquo;s most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more here: https://www.honeywell.com/us/en
 
 
 The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Job Posting Date: 4/3/2026
 
 
 
 About Us
 
 
 
 Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments &ndash; powered by our Honeywell Forge software &ndash; that help make the world smarter, safer and more sustainable.
</div>

Data Engineer

<div>Before you apply to a job, select your language preference from the options available at the top right of this page.
Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow&mdash;people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.
Job Description:
UPS US Marketing is looking for a talented and driven Business Data Scientist to drive its strategic objectives in the areas of pricing, revenue management, market analysis and evidence/data based decision making. This role will work across multiple channels and teams to drive tangible results in the organization. You will focus on developing metrics for multiple channels and markets, applying advanced data analysis where appropriate and pioneering new analytical methods in a variety of fast paced and rapidly evolving consumer channels. This high visibility position will work with multiple levels of the organization, including senior leadership to bring analytical capabilities to the forefront of pricing, rate setting, and optimization of our go-to-market offers. You will contribute to rapidly evolving UPS Marketing analytical capabilities by working amongst a collaborative team of Data Scientists, Analysts and multiple business stakeholders.
Responsibilities:<ul><li>
Become a subject matter expert on UPS business processes, data and analytical capabilities to help define and solve business needs using data and statistical methods</li><li>
Analyze and extract insights from large-scale structured and unstructured data utilizing multiple platforms and tools.</li><li>
Understand and apply appropriate methods for cleaning and transforming data</li><li>
Work across multiple stake holders to develop, maintain and improve models in production</li><li>
Take the initiative to create and execute analyses in a proactive manner</li><li>
Deliver complex analytical and visualizations to broader audiences including upper management and executives</li><li>
Understand the application of advanced analytics to solve complex business problems</li></ul>
Qualifications<ul><li>
MS in a quantitative discipline and 2+ years of relevant work experience or Ph.D in a STEM field</li><li>
Proficiency in Python and SQL</li><li>
Experience in applied statistics and analytics utilizing programming languages (Ex: Python or R)</li><li>
Proficient in cloud computing using Azure and Google cloud environments</li><li>
Proficient in data concepts and transformation methods</li><li>
Effective presentation skills utilizing PowerPoint and visualization methods to explain complex concepts</li><li>
Experience in reporting and analytics using dashboards (PowerBI, Tableau, Looker, etc.)</li></ul>
Bonus Qualifications<ul><li>
Experience with pricing methodologies and revenue management</li><li>
Experience using PySpark, Azure Databricks, Google Bigquery and Vertex AI</li><li>
Creating and implementing AI and GenAI based projects</li><li>
Familiarity with Data architecture and engineering</li></ul>
Employer will not sponsor a visa for this position. Must be currently in the same geographic location as the job or willing to relocate yourself.
Job Grade- 20G
Last day to apply internally- 4/22/26 @ 11:59am EST
Employee Type:
Permanent
UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.
Other Criteria:
UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law.
Basic Qualifications:
Must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer.</div>

Business Data Scientist

YO IT Consulting

<div>
 
 Job Title:
 
 AI/ML Engineer
 
 
 
 Job Type:
 
 Full-Time
 
 
 
 Job Summary
 
 
 
 Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to proprietary AI infrastructure, you&rsquo;ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You&rsquo;ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
 </li>
 <li>
 Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
 </li>
 <li>
 Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
 </li>
 <li>
 Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
 </li>
 <li>
 Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
 </li>
 <li>
 Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
 </li>
 <li>
 Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
 </li>
 <li>
 Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
 </li>
 <li>
 Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
 </li>
 <li>
 Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
 </li>
 <li>
 Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
 </li>
 <li>
 Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).
 </li>
 <li>
 Exceptional written and verbal communication skills for effective collaboration and documentation.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
 </li>
 <li>
 Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.
 </li>
 <li>
 Prior exposure to government or highly regulated cloud environments and compliance standards.
 </li>
 </ul>
</div>

Artificial Intelligence Engineer – Remote

Explore 242+ Data engineer i aws databricks pyspark in Atlanta this April. Find roles across top companies and apply now to boost your career.

242 data engineer i aws databricks pyspark jobs In Atlanta

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