data engineer

customer analytics analyst Jobs in Atlanta

customer analytics analyst

data analyst

data engineer — customer data platform Jobs in Atlanta

data engineer — customer data platform

ai engineer

data engineer customer data platform

<div>
 <strong>
  Role Description
  <br/>
  <br/>
 </strong>
 <strong>
  Data Engineer &mdash; Customer Data Platform
  <br/>
  <br/>
 </strong>
 <strong>
  Lead I - Data Engineering
  <br/>
  <br/>
 </strong>
 <strong>
  Who We Are
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 With us, you&rsquo;ll create a boundless impact that transforms your career&mdash;and the lives of people across the world.
 <br/>
 <br/>
 Visit us at UST.com.
 <br/>
 <br/>
 <strong>
  You Are
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  The Opportunity
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </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.
 <br/>
 <br/>
 <strong>
  What You Need
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </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.
 <br/>
 <br/>
 <strong>
  Role Location: Georgia
  <br/>
  <br/>
 </strong>
 <strong>
  Compensation Range
 </strong>
 : $70,000-$105,000
 <br/>
 <br/>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  What We Believe
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Humility
  <br/>
  <br/>
 </strong>
 We will listen, learn, be empathetic and help selflessly in our interactions with everyone.
 <br/>
 <br/>
 <strong>
  Humanity
  <br/>
  <br/>
 </strong>
 Through business, we will better the lives of those less fortunate than ourselves.
 <br/>
 <br/>
 <strong>
  Integrity
  <br/>
  <br/>
 </strong>
 We honor our commitments and act with responsibility in all our relationships.
 <br/>
 <br/>
 <strong>
  Equal Employment Opportunity Statement
  <br/>
  <br/>
 </strong>
 UST is an Equal Opportunity Employer.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.
 <br/>
 <br/>
 #UST
 <br/>
 <br/>
 #CB
 <br/>
 <br/>
 <strong>
  Skills
  <br/>
  <br/>
 </strong>
 data engineering,machine learning,data modelling,ensemble approaches,ai/ml engineering
 <br/>
 <br/>
</div>


Data Engineer — Customer Data Platform

<div></div><div><div><div><div><ul><div>1 Opening</div>
 <div>Atlanta</div></ul></div><p></p><div><br>
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader"><b>Role description</b></h3>
<div><p><b>Data Engineer &mdash; Customer Data Platform</b></p>
<p><b>
Lead I - Data Engineering</b></p><br>
<p></p>
<p><b>
Who We Are:</b></p>
<p>
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.</p>
<p>
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.</p>
<p>
With us, you&rsquo;ll create a boundless impact that transforms your career&mdash;and the lives of people across the world.</p>
<p>
Visit us at UST.com.</p><br>
<p></p>
<p><b>
You Are:</b></p>
<p>
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.</p><br>
<p></p>
<p><b>
The opportunity:</b></p>
<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><br>
<p></p>
<p>
This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.</p><p><br>
</p><p><b>What you </b><b>need</b><b>:</b></p>
<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><br>
<p></p>
<p>
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.</p>
<p><b>
Role Location:</b><b> </b><b>Georgia</b></p>
<p><b>
Compensation Range</b>: $70,000-$105,000</p><br>
<p></p>
<p><b>
Benefits</b></p>
<p>
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.</p>
<p>
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.</p>
<p>
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.</p>
<p>
Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).</p>
<p>
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.</p><br>
<p></p>
<p><b>
What we believe:</b></p>
<p>
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.</p><br>
<p></p>
<p><b>
Humility:</b></p>
<p>
We will listen, learn, be empathetic and help selflessly in our interactions with everyone.</p>
<p><b>
Humanity:</b></p>
<p>
Through business, we will better the lives of those less fortunate than ourselves.</p>
<p><b>
Integrity:</b></p>
<p>
We honor our commitments and act with responsibility in all our relationships.</p><br>
<div></div>
<div><b>
Equal Employment Opportunity Statement</b></div><div><br>
UST is an Equal Opportunity Employer.</div><br>
<div></div>
<p>
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.</p>
<div>
UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.</div><br>
<div></div>
<div>
#UST</div>
<div>
#CB</div>
<div>
#LI-AP4</div></div>
<h3 class="jobSectionHeader"><b>Skills</b></h3>
<div><p>data engineering,machine learning,data modelling,ensemble approaches,ai/ml engineering</p></div>
<h3 class="jobSectionHeader"><b>Benefits</b></h3>
<h3 class="jobSectionHeader"><p><b>Compensation range: $ 70,000.00 to 105,000.00 per year</b></p></h3></div></div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>About UST</b></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>

<div></div><div><div><div><div><ul><div>1 Opening</div>
 <div>Atlanta</div></ul></div><p></p><div><br>
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader"><b>Role description</b></h3>
<div><p><b>Senior Data Engineer &mdash; Customer Data Platform</b></p>
<p><b>
Lead I - Data Engineering</b></p><br>
<p></p>
<p><b>
Who We Are:</b></p>
<p>
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.</p>
<p>
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.</p>
<p>
With us, you&rsquo;ll create a boundless impact that transforms your career&mdash;and the lives of people across the world.</p>
<p>
Visit us at UST.com.</p><br>
<p></p>
<p><b>
You Are:</b></p>
<p>
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.</p><br>
<p></p>
<p><b>
The opportunity:</b></p>
<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><br>
<p></p>
<p>
This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.</p><p><br>
</p><p><b>What you </b><b>need</b><b>:</b></p>
<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><br>
<p></p>
<p>
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.</p>
<p><b>
Role Location:</b><b> </b><b>Georgia</b></p>
<p><b>
Compensation Range</b>: $70,000-$105,000</p><br>
<p></p>
<p><b>
Benefits</b></p>
<p>
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.</p>
<p>
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.</p>
<p>
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.</p>
<p>
Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).</p>
<p>
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.</p><br>
<p></p>
<p><b>
What we believe:</b></p>
<p>
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.</p><br>
<p></p>
<p><b>
Humility:</b></p>
<p>
We will listen, learn, be empathetic and help selflessly in our interactions with everyone.</p>
<p><b>
Humanity:</b></p>
<p>
Through business, we will better the lives of those less fortunate than ourselves.</p>
<p><b>
Integrity:</b></p>
<p>
We honor our commitments and act with responsibility in all our relationships.</p><br>
<div></div>
<div><b>
Equal Employment Opportunity Statement</b></div><div><br>
UST is an Equal Opportunity Employer.</div><br>
<div></div>
<p>
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.</p>
<div>
UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.</div><br>
<div></div>
<div>
#UST</div>
<div>
#CB</div>
<div>
#LI-AP4</div></div>
<h3 class="jobSectionHeader"><b>Skills</b></h3>
<div><p>data engineering,machine learning,data modelling,ensemble approaches,ai/ml engineering</p></div>
<h3 class="jobSectionHeader"><b>Benefits</b></h3>
<h3 class="jobSectionHeader"><p><b>Compensation range: $ 70,000.00 to 105,000.00 per year</b></p></h3></div></div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>About UST</b></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

The Coca-Cola Company

<p></p><div><p>The Senior Manager, Software Engineer, Data Platform &amp; Segmentation is a senior individual contributor accountable for the technical vision, design, and evolution of data platforms and segmentation capabilities that power Customer and Commercial product teams operating under a modern Product Operating Model.</p><p>
This role functions as a hands-on technical leader and multiplier, shaping how customer, commercial, and behavioral data is modeled, segmented, and activated across products, enabling better decisions, personalization, and measurable business outcomes.</p><p>
The role emphasizes deep technical expertise, product partnership, and architectural leadership, rather than people management.</p><p></p><p><b>
Core Accountabilities</b></p><p></p><p><b>
Product Model &amp; Discovery Partnership</b></p><ul><li>
Partner closely with Product Managers, Designers, and Tech Leads to co-own outcomes, not just data assets.</li><li>
Participate actively in product discovery to ensure segmentation strategies are technically feasible, scalable, and analytically sound.</li><li>
Translate business and customer questions into durable data models and segmentation frameworks.</li></ul><p></p><p><b>
Machine Learning</b><b>
</b></p><ul><li>Strong experience in Machine Learning engineering, leveraging ML models to build Segmentation strategies</li></ul><ul><li>
Experience operationalizing ML-driven segmentation, including integrating segmentation outputs into other products</li><li>
Collaborating with data scientists</li><li>
managing standards for model life cycle, monitoring drift, retraining, etc.</li><li>
Understanding of Azure ML (or any other cloud) workspaces and integrating them with Azure pipelines</li></ul><p></p><p><b>
Data Platform &amp; Segmentation Architecture</b></p><ul><li>
Define and evolve the <b>segmentation architecture</b> across customer and commercial data domains.</li><li>
Design scalable data models that support real-time, near real time, and batch segmentation use cases.</li><li>
Ensure segmentation logic is reusable, explainable, and consistent across channels and products.</li><li>
Make explicit trade-offs across latency, accuracy, cost, privacy, and maintainability.</li></ul><p></p><p><b>
Engineering Execution &amp; Data Quality</b></p><ul><li>
Build and maintain high-quality, production-grade data pipelines and services.</li><li>
Ensure strong standards for data quality, lineage, observability, and reliability.</li><li>
Reduce fragmentation and duplication in segmentation logic across teams.</li><li>
Leverage metrics to continuously improve data freshness, accuracy, and usability.</li></ul><p></p><p><b>
Individual Contributor Technical Leadership</b></p><ul><li>
Act as a go-to expert for data platform and segmentation design.</li><li>
Lead complex technical initiatives end-to-end through hands-on contribution.</li><li>
Influence technical direction through design reviews, reference implementations, and documented standards.</li><li>
Mentor senior engineers and Tech Leads through coaching and technical guidance (without direct management responsibility).</li></ul><p></p><p><b>
Microsoft Azure Data Platform &amp; Fabric Expertise</b></p><ul><li>
Demonstrate <b>deep, hands-on expertise</b> with Microsoft Azure data services and their application in large-scale, product-centric environments.</li><li>
Design and evolve segmentation and data platform architectures leveraging <b>Azure Data Fabric concepts</b>, ensuring interoperability, governance, and reuse across domains.</li><li>
Apply strong architectural judgment across core Azure data products, including data ingestion, storage, processing, analytics, and activation layers.</li><li>
Optimize designs across <b>cost, performance, latency, and scalability</b>, using Azure-native capabilities and patterns.</li><li>
Ensure secure-by-design implementations aligned with Azure identity, access, encryption, and compliance controls.</li><li>
Partner with enterprise architecture, cloud, and security teams to ensure Azure data platform decisions align with broader enterprise strategy while preserving team autonomy.</li><li>
Stay current on Azure data platform evolution and proactively assess new capabilities for business value, not novelty.</li></ul><p></p><p><b>
Business Partnership &amp; Communication</b></p><ul><li>
Serve as a trusted technical partner to Customer and Commercial stakeholders.</li><li>
Communicate segmentation concepts, assumptions, and limitations in clear business language.</li><li>
Proactively surface data constraints, privacy considerations, and trade-offs to enable informed decisions.</li><li>
Support external partner and vendor conversations as a technical authority when needed.</li></ul><p></p><p><b>
Governance, Privacy &amp; Compliance</b></p><ul><li>
Ensure segmentation approaches comply with data privacy, consent, and regulatory requirements.</li><li>
Collaborate with Security, Privacy, and Legal teams to embed governance into platform design&mdash;not bolt it on later.</li><li>
Advocate for responsible and ethical use of customer and commercial data.</li></ul><p></p><p><b>
Success Measures</b></p><ul><li>
Segmentation capabilities measurably improve customer engagement and commercial outcomes.</li><li>
Reduced duplication and inconsistency in segmentation logic across products.</li><li>
Improved data quality, freshness, and trustworthiness.</li><li>
Faster time-to-insight and activation for product teams.</li><li>
Platforms and models that scale with growth while controlling cost and risk.</li></ul><p></p><p><b>
Leadership Profile</b></p><ul><li>
Outcome-driven, not data for data&rsquo;s sake</li><li>
Deep technical expertise with strong product intuition</li><li>
Influences through credibility and clarity, not authority</li><li>
Comfortable operating in ambiguity and evolving problem spaces</li><li>
Holds a high bar for data quality, ethics, and reliability</li></ul><p></p><p><b>
Required Experience &amp; Capabilities</b></p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or equivalent experience.</li><li>
8+ years of hands-on experience in data platform, analytics engineering, or backend engineering roles.</li><li>
Deep expertise in data modeling, segmentation strategies, and large-scale data systems.</li><li>
Strong experience with cloud-native data platforms and modern data tooling.</li><li>
Proven ability to partner closely with product and business stakeholders.</li><li>
Demonstrated impact as a senior individual contributor on complex, cross-team initiatives.</li></ul><p></p>
The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.<p></p><p><b>
Pay Range:</b></p>
$152,000 - $178,300<p></p><p><i>
Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.</i></p><p></p><p><b>
Annual Incentive Reference Value Percentage:</b></p>
15<p></p><p><i>
Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.</i></p><p></p><p><b>
Location(s):</b></p>
United States of America<p></p><p><b>
City/Cities:</b></p>
Atlanta<p></p><p><b>
Travel Required:</b></p>
00% - 25%<p></p><p><b>
Relocation Provided:</b></p>
No<p></p><p><b>
Job Posting End Date:</b></p>
April 21, 2026<p></p><p><b>
Our Purpose and Growth Culture:</b></p><p></p><p>
We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what&rsquo;s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors &ndash; curious, empowered, inclusive and agile &ndash; and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.</p><p></p>
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.<br>
<br>
Annual Incentive Reference Value Percentage:15<br>
Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.</div>

Senior Manager, Software Engineer, Data Platform Segmentation

<div></div><div><div><div><div><ul><div>1 Opening</div>
 <div>Atlanta</div></ul></div><p></p><div><br>
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader"><b>Role description</b></h3>
<div><p><b>Senior SDET Engineer &mdash; Customer Data Platform</b></p>
<p><b>
Lead I - Software Testing</b></p><br>
<p></p>
<p><b>
Who We Are:</b></p>
<p>
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.</p>
<p>
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.</p>
<p>
With us, you&rsquo;ll create a boundless impact that transforms your career&mdash;and the lives of people across the world.</p>
<p>
Visit us at UST.com.</p><br>
<p></p>
<p><b>
You Are:</b></p>
<p>
We are seeking a Senior SDET Engineer to own quality engineering for our Customer Data Platform (CDP) &mdash; the authoritative source of truth for customer data across the entire US adult population.</p><br>
<p></p>
<p><b>
The opportunity:</b></p>
<ul><li> Design and implement scalable test automation frameworks for data pipelines, APIs, and distributed systems &mdash; with quality standards calibrated to CDP's role as the authoritative source of truth</li></ul>
<ul><li> Build data validation frameworks to ensure completeness, accuracy, and consistency of customer profiles across systems (e.g., ADLS, Databricks, Snowflake)</li></ul>
<ul><li> Develop manual and automated tests for batch and streaming data pipelines, including reconciliation, anomaly detection, and data freshness validation</li></ul>
<ul><li> Validate identity resolution outputs &mdash; ensuring deduplication, matching, and golden profile creation meet accuracy thresholds before data reaches downstream consumers</li></ul>
<ul><li> Validate API integrations and microservices, including contract testing and performance validation for systems serving real-time customer experiences</li></ul>
<ul><li> Drive test strategy for cloud-native and data platforms, including CI/CD integration and shift-left practices that catch quality issues before production</li></ul><br>
<p></p>
<p>
This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.</p><p><br>
</p><p><b>What you </b><b>need</b><b>:</b></p>
<ul><li> Bachelor's or Master's degree in Computer Science, Engineering, or related field</li></ul>
<ul><li> 6+ years of experience in software quality engineering / SDET roles, preferably in data platforms or cloud environments</li></ul>
<ul><li> Strong experience testing data engineering pipelines and large-scale datasets</li></ul>
<ul><li> Hands-on experience with cloud platforms (Azure preferred) and modern data stack technologies</li></ul>
<ul><li> Experience working in Agile/Scrum environments</li></ul>
<ul><li> Technical Skills:</li></ul>
<ul><li> Strong programming skills in Python, Java, or Scala</li></ul>
<ul><li> Experience with data platforms and storage systems: ADLS, Databricks, Snowflake, SQL Server, Cosmos DB</li></ul>
<ul><li> Experience validating ETL/ELT pipelines, including batch and streaming (Kafka/Event Hub)</li></ul>
<ul><li> Hands-on experience with API testing tools (Postman, Rest Assured, PyTest, etc.)</li></ul>
<ul><li> Experience building test automation frameworks from scratch for data-intensive applications</li></ul>
<ul><li> Knowledge of CI/CD pipelines and integration with testing frameworks</li></ul>
<ul><li> Experience with data quality tools, reconciliation techniques, and query-based validation at scale</li></ul>
<ul><li> Exposure to GenAI/LLM validation, Azure AI Foundry, or similar platforms is a strong plus</li></ul>
<ul><li> Familiarity with performance testing and scalability validation for distributed systems processing billions of records</li></ul>
<ul><li> Knowledge, Skills, and Abilities</li></ul>
<ul><li> Strong understanding of data architecture, distributed systems, and the unique quality challenges of population-scale customer data</li></ul>
<ul><li> Ability to think in terms of data correctness, lineage, and system reliability &mdash; understanding that data quality is the foundation of CDP's authority</li></ul>
<ul><li> Excellent problem-solving and debugging skills in complex, multi-system environments</li></ul>
<ul><li> Strong collaboration skills across engineering, AI/ML, product, and operations teams</li></ul><br>
<p></p>
<p>
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.</p>
<p><b>
Role Location:</b><b> </b><b>Georgia</b></p>
<p><b>
Compensation Range</b>: $68,000-$102,000</p><br>
<p></p>
<p><b>
Benefits</b></p>
<p>
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.</p>
<p>
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.</p>
<p>
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.</p>
<p>
Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).</p>
<p>
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.</p><br>
<p></p>
<p><b>
What we believe:</b></p>
<p>
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.</p><br>
<p></p>
<p><b>
Humility:</b></p>
<p>
We will listen, learn, be empathetic and help selflessly in our interactions with everyone.</p>
<p><b>
Humanity:</b></p>
<p>
Through business, we will better the lives of those less fortunate than ourselves.</p>
<p><b>
Integrity:</b></p>
<p>
We honor our commitments and act with responsibility in all our relationships.</p><br>
<div></div>
<div><b>
Equal Employment Opportunity Statement</b></div><div><br>
UST is an Equal Opportunity Employer.</div><br>
<div></div>
<p>
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.</p>
<div>
UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.</div><br>
<div></div>
<div>
#UST</div>
<div>
#CB</div>
<div>
#LI-AP4</div></div>
<h3 class="jobSectionHeader"><b>Skills</b></h3>
<div><p>api testing,selenium,java,data lineage,</p></div>
<h3 class="jobSectionHeader"><b>Benefits</b></h3>
<h3 class="jobSectionHeader"><p><b>Compensation range: $ 68,000.00 to 102,000.00 per year</b></p></h3></div></div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>About UST</b></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 SDET Engineer — Customer Data Platform

AppFolio

<div><p><b>Who we are looking for:</b> We are hiring a Senior Software Engineer in our Platform Data Query team to operate, maintain, scale, and enhance Appfolio's data streaming and data access systems. <b>Must have</b> experience with modern data lake architectures, as you will be directly working with <b>Iceberg data lakes</b>,<b> Trino</b>, and real-time streaming using <b>Apache Flink and Kafka</b>. Our data is widely used to power customer-facing dashboards, reports, BI integrations, and AI-powered agents. Appfolio supports a significant part of the real estate market in the United States, and our data unlocks many insights for our customers and is the basis for new tools and capabilities that deliver value for our customers. The data provides enhanced performance metrics for our 20,000+ customers in the real estate property management industry. This allows our customers to see trends in their operations and act accordingly to improve and grow their business. Our Platform Data Query system provides a uniform, robust, and flexible access to data in Appfolio, powering a variety of applications, all enhancing the lives and businesses of property managers. This role is pivotal to the ongoing operation, scaling, and enhancement of that system, ultimately unlocking tremendous potential for the real estate industry in the coming years.</p><p><b>
Responsibilities:</b></p><ul><li><p>
Build a deep understanding of our data structure and systems - enabling you and your team to maintain, scale, and add on to the existing architecture.</p></li><li><div>
Maintain, optimize, and scale our robust data access layer on top of our <b>Iceberg data lake</b>, taking ownership of under-the-hood optimizations like <b>data compaction </b>for performance and storage efficiency.</div></li><li><div>
Design, build, and operate a robust API on top of our data tech stack, ensuring <b>secure data access</b> and seamless integration for downstream applications and platform services.</div></li><li><div>
Collaborate with Product to understand current operational needs, troubleshoot issues, and design technical add-ons or enhancements to our existing solutions.</div></li><li><div>
Work in a truly agile fashion to turn scaling challenges and feature enhancements into thinly sliced deliverables and execute quickly against them while limiting work in progress.</div></li><li><div>
Hold a high bar of engineering excellence and always look for ways to raise it. Adopt our engineering best practices, provide and receive in-depth code reviews, and participate in healthy debate as a team. Evangelize your own expertise and experience among your teammates and the rest of the organization.</div></li><li><div>
Together with your team, you ensure the data flowing through our data pipelines is tested with appropriate unit and integration tests to ensure the correct data makes it to our customers.</div></li><li><div>
Together with your team, your deliverables are always well-instrumented. Queries and dashboards are easily accessible and regularly used to drive decisions as well as measure progress.</div></li><li><div>
Enthusiastically participate in a high-performing, empowered team with high levels of mutual trust and respect. Along with the team, you will take ownership of your problem space - reflecting and growing from our failures and celebrating our successes.</div></li><li><p>
Operate, optimize, and scale systems responsible for high concurrency access to large data sets, <b>requiring</b> hands-on execution and <b>deep knowledge of data access and query optimization</b> with distributed query engines like <b>Trino</b> and <b>AWS Athena</b>. Identify gaps, deficiencies, and inefficiencies in the system. Propose and implement solutions.</p></li></ul><p><b>
You know you're the right fit if...</b></p><ul><li><p><b>
Must have</b> experience operating, scaling, and enhancing data pipelines at a company with large data sets using <b>Apache Flink and Kafka</b>, especially with multi-tenant data in an agile SaaS environment.</p></li><li><div><b>
Must have</b> foundational experience operating, tuning, and maintaining <b>Iceberg data lakes</b>, including deep knowledge of table maintenance and data compaction strategies.</div></li><li><div>
Experience working on platform teams or maintaining platform services, whose customers are other internal teams.</div></li><li><div>
Proven experience working across all levels of the development stack.</div></li><li><div>
Proven experience with object-oriented languages (Python, Ruby, JS, Java, C#, etc.).</div></li><li><div>
Strong SQL proficiency and <b>deep knowledge of data access/query optimization</b>, <b>requiring</b> the ability to optimize query performance and cost efficiency at scale using distributed engines like <b>Trino </b>and <b>AWS Athena</b>.</div></li><li><div>
Familiarity with core architecture principles of at-scale systems.</div></li><li><div><b>
Must have</b> strong familiarity with public cloud infrastructure, particularly AWS (including native tools like <b>AWS Glue, AWS S3,</b> and <b>AWS Athena</b>).</div></li><li><div>
Strong familiarity with Agile software development processes: Scrum or Kanban.</div></li><li><div>
Creativity and proactivity - an ability to solve complex scaling and operational problems. You love to learn about and use new tech, but understand the value of continuing to leverage and optimize existing technology when it gets the job done.</div></li><li><p>
You care about the long-term maintainability of the codebase and advocate for refactoring and code cleanliness. You can identify and resolve code-smells through sensible refactoring.</p></li></ul><p><b>
Additional Skills and Knowledge:</b></p><ul><li><p>
5+ years of experience working in software engineering teams.</p></li><li><div>
Comfortable working with remote team members.</div></li><li><div>
Ability to think pragmatically and effectively balance business outcomes with technical goals.</div></li><li><p>
Ability to establish strong working relationships with peers across other platform development teams.</p></li></ul><p>
If you are interested in creating exceptional SaaS products and being part of a successful public company, apply today!</p><p></p><div><b><br>
Compensation &amp; Benefits</b>
</div><div></div><div>The base salary that we reasonably expect to pay for this role is $138,400 - $173,000.
</div><div></div><div>The actual base salary for this role will be determined by a variety of factors, including but not limited to the candidate&rsquo;s skills, education, experience, etc.</div><div>
</div><div>Please note that base pay is one important aspect of a compelling Total Rewards package. The base pay range indicated here does not include any additional benefits or bonuses that you may be eligible for based on your role and/or employment type.</div><div>
Regular full-time employees are eligible for benefits - see here</div><div></div><div><b>
#LI-SS2</b></div></div><p></p>

Sr Software Engineer - Platform Data Query

The Home Depot

<div><div><p><b>Position Purpose:</b></p><p>
The Home Depot is seeking a Senior CIAM Engineer to support the THDCustomerIAM online identity platform, ensuring seamless, secure, and scalable customer authentication and authorization experiences. This role will be a critical member of the CIAM team, working with ForgeRock, Ping Identity, and other cutting-edge identity solutions to drive intelligent access, journey orchestration, and low-code/no-code development. Strong experience/proficiency in CIAM engineering, Authentication/Authorization frameworks, High-scale customer-facing identity platforms, AI/ML DevSecOps &amp; Agile principles, and Identity Fraud Prevention.</p><p><b><br>
Key Responsibilities:</b></p><ul><li>
100% Deliver Execution, Plans &amp; Align, Problem Solving - Design automation workflows and capabilities in support of data collection, investigation and incident response Develop threat hunting and data analysis strategy and capabilities Identify and propose new technologies, methodologies and/or approaches to detecting malicious activity Utilize indicators to scope and respond proactively to emerging threats Design, build, configure, maintain and monitor cybersecurity threat defense capabilities and user access management</li></ul><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
This Position typically reports to Manager or Sr. Manager</li><li>
This Position has 0 Direct Reports</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
No travel required.</li></ul><p><b><br>
Physical Requirements:</b></p><ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><p><b><br>
Preferred Qualifications:</b></p><ul><li>
Experience with AI/ML-based DevSecOps, Data-Analysis, Fraud Detection &amp; Identity Verification.</li><li>
Knowledge of Cloud IAM (Azure AD, Google Identity).</li><li>
Familiarity with zero-trust security models and passwordless authentication.</li></ul><p><b>
Minimum Education:</b></p><ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
3</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><ul><li>
Action Oriented</li><li>
Collaborates</li><li>
Communicates Effectively</li><li>
Customer Focus</li><li>
Drives Results</li></ul></div><p></p><p><br>
Apply End Date: 05/13/2026</p></div>

Senior Cybersecurity Engineer - CIAM (Remote)

Explore 553+ Data engineer customer data platform in Atlanta this April. Find roles across top companies and apply now to boost your career.

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