data engineer

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senior data engineer

agentforce & data 360 support engineer Jobs in Atlanta

agentforce & data 360 support engineer

cloud data engineer

Worth AI

<div>Worth AI, a leader in the computer software industry, is looking for a talented and experienced Data Platform Engineer to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape.. Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers.
As a Data Platform Engineer, you will design, build, and operate the core data services that power our products and analytics. You&rsquo;ll own end-to-end data pipelines and API services that ingest, process, and expose high-quality data to internal customers (data science, analytics, product, and other engineering teams) and external partners.
You&rsquo;ll be part of a small, high-impact team that treats the data platform as a product with strong SLAs, and reliable self-service for internal and external users.
Responsibilities
What you&rsquo;ll do:<ul><li>
Architect and implement entity resolution logic to de-duplicate and link disparate data points into unified &quot;Golden Records&quot; for businesses and individuals</li><li>
Design and maintain a high-performance global business knowledge graph and ontology to map complex ownership chains, UBOs, and hidden risk relationships across international borders</li><li>
Implement a hybrid storage strategy that bridges graph databases for relationship mapping with document and search stores for rich metadata and adverse media content</li><li>
Optimize the platform for real-time risk assessment, ensuring the ability to traverse multiple levels of ownership in milliseconds to support automated &quot;Go/No-Go&quot; onboarding decisions
</li><li>Design and build scalable data services and APIs for ingesting, transforming, and serving data across the company</li><li>
Develop and maintain batch and streaming data pipelines using modern data processing frameworks and AWS cloud-native tooling</li><li>
Own the reliability, performance, and API first data platform, including monitoring, alerting, and on-call where appropriate</li><li>
Implement best practices for data modeling, quality, lineage, and governance to ensure trustworthy, well-documented datasets</li><li>
Work closely with data scientists, analysts, and application engineers to understand their needs and translate them into robust platform capabilities</li><li>
Drive automation and standardization through CI/CD, model as a service, and reproducible environments
</li><li>Help define and evolve the architecture of our data platform as a true internal service with clear contracts, SLAs, and versioned APIs</li></ul> 

Requirements 
<ul><li><ul><li>
Expertise in Graph Ecosystems: Hands-on experience with Graph databases (e.g., Neo4j, AWS Neptune, or TigerGraph) and query languages like Cypher or Gremlin</li><li>
Identity &amp; Linkage Mastery: Proven experience with Entity Resolution or Record Linkage (e.g., using tools like Senzing, Quantexa, or custom probabilistic matching models)</li><li>
Schema Design: Ability to design flexible ontologies that handle evolving regulatory data (e.g., changing PEP definitions or Sanction list formats)</li><li>
API Performance for Graphs: Experience building GraphQL or REST APIs specifically optimized for graph traversals and deep-tree lookups</li><li>
Experience building centralized data platforms or &ldquo;data-as-a-service&rdquo; offerings at scale (e.g., at a large tech or cloud-native company)</li><li>
Strong software engineering skills in at least one language commonly used for data and services (e.g., Python, Java, Go, Rust)</li><li>
Hands-on experience building data pipelines and ETL/ELT workflows on a major cloud provider (AWS preferred)</li><li>
Experience with modern data stack tools such as Spark/Flink, Kafka/Kinesis, Airflow/managed schedulers, and data warehouses (e.g., Snowflake, Redshift, BigQuery, Databricks)</li><li>
Familiarity with DevOps practices: CI/CD, containerization (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform)</li><li>
Strong focus on observability (metrics, logs, traces), resilience, and building early warning signals</li><li>
Comfort collaborating cross-functionally and communicating clearly with both technical and non-technical stakeholders.</li></ul></li></ul>
Nice to Have<ul><li><ul><li>
Background supporting machine learning or real-time decisioning use cases from a platform point of view</li></ul></li><li><ul><li>
Compliance Domain Knowledge: Understanding of AML, CTF, and KYC/KYB data structures (e.g., LEIs, ISO 20022)</li></ul></li><li><ul><li>
Geospatial Data: Experience handling global address normalization and geospatial indexing for risk detection</li></ul></li></ul>
** All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town Halls and team collaboration in addition to orientation in Orlando, Florida 
Benefits 
<ul><li><ul><li>
Health Care Plan (Medical, Dental &amp; Vision)</li><li>
Retirement Plan (401k, IRA)</li><li>
Life Insurance</li><li>
Flexible Paid Time Off</li><li>
9 paid Holidays</li><li>
Family Leave</li><li>
Work From Home</li><li>
Free Food &amp; Snacks (Orlando)</li><li>
Wellness Resources</li></ul></li></ul></div>

Data Platform Engineer

REPLY

<div><div>Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies. We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business.</div> 
<div></div>
<div> 
We are seeking a Senior Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. In this role, you will combine deep technical expertise with strong consulting skills &mdash; engaging directly with clients, understanding business needs, translating requirements into scalable technical solutions, and communicating clearly with both technical and non-technical stakeholders.</div>
<h3 class="jobSectionHeader">Responsibilities</h3><div>
<ul><li>Work directly with clients to understand business goals, data challenges, and technical requirements</li>
<li>Lead or support discovery sessions, requirements workshops, architecture discussions, and solution reviews</li>
<li>Develop and optimize batch and streaming data ingestion pipelines from enterprise applications, databases, APIs, and file-based sources</li>
<li>Implement medallion/Lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases</li>
<li>Engineer solutions using technologies such as PySpark, Spark SQL, SQL, Python, Delta Lake, and orchestration tools within Azure and Databricks</li>
<li>Recommend best practices for data modeling, governance, lineage, monitoring, DevOps, and security</li>
<li>Help establish engineering standards, reusable frameworks, accelerators, and documentation for internal and client teams</li>
<li>Contribute to estimation, project planning, and delivery management for client engagements</li>
</ul></div><h3 class="jobSectionHeader">Minimum Requirements</h3><div>
<ul><li>Bachelor&rsquo;s degree in computer science or related field</li>
<li>8 years of experience in data engineering, data platform development, or cloud data solutions</li>
<li>3 years of hands-on experience with Azure Databricks, Apache Spark, or similar distributed data processing technologies</li>
<li>Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB</li>
<li>Deep expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI</li>
<li>Experience setting end-to-end modern data platforms in Azure including architecture/design, ingestion, storage strategies, analytics &amp; reporting, Apache Spark, and networking requirements</li>
<li>DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.)</li>
<li>Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies</li>
</ul></div><h3 class="jobSectionHeader">Preferred Qualifications</h3><ul>
<li>Azure Database for PostgreSQL</li>
<li>Experience working directly with clients, business stakeholders, or cross-functional teams in a consulting or professional services environment.</li>
<li>Experience establishing data management strategy for customers, including data governance, data security, master data management, and familiarity with different industry security requirements</li>
<li>Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps</li>
<li>Experience with Delta Lake, Unity Catalog, and Databricks workspace administration or governance.</li>
<li>Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft</li>
</ul><div><div>About Reply</div>
<div></div>
<div>Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.</div>
<div></div>
<div>Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at jobusa@reply.com. Visit our website at www.reply.com to learn more about our open roles.</div>
</div>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div>

Senior Data Engineer

The Coca-Cola Company

<div>CPS (Commercial Products Supply) is a key part of the Advantaged Supply Chain of the Technical Function of The Coca-Cola Company. CPS manufactures concentrates and beverage bases for sale to bottling partners all over the world. This global organization manages a network of 19 manufacturing plants in 18 different countries along with 2 office locations (Atlanta &amp; Drogheda, Ireland). CPS also manages complex additional materials supply chains (e.g. juice, coffee, tea, milk, etc.) on behalf of bottling partners.
The Data Engineer will be responsible for the design, development, and operational excellence of the CPS data platform. This role focuses on hands-on development, technical execution, and cross-functional collaboration to build scalable, reliable, and secure data solutions that support data-driven decision-making across global plant operations and supply networks.
What You'll Do for Us<ul><li>
Serve as a technical leader and subject matter expert for data engineering solutions</li><li>
Design, develop, and optimize data pipelines using Azure Data Factory (ADF) and/or Fabric</li><li>
Design, build, and maintain scalable data pipelines, transformations, and data models using PySpark, SQL, and Python</li><li>
Define and enforce data engineering best practices, standards, and architectural patterns</li><li>
Partner with CPS stakeholders, plant teams, and analytics partners to translate business needs into technical solutions</li><li>
Participate in technical design reviews and mentor other engineers, providing guidance without direct people management</li><li>
Ensure data quality, reliability, monitoring, and performance of production data pipelines</li><li>
Support roadmap planning, estimation, and prioritization for data engineering initiatives</li></ul>
What You'll Need 
Functional Skills:<ul><li>
Strong proficiency in Python, SQL, and distributed data processing.</li><li>
Hands-on experience with Databricks, Snowflake, or any coding platform.</li><li>
Strong understanding of data warehousing concepts and analytical database design patterns</li><li>
Familiarity of job orchestration using tools such as Azure Data Factory (ADF), AWS Glue, etc.</li><li>
Solid understanding of data architecture, ETL/ELT design, and data modeling</li><li>
Experience with cloud-native data platforms, CI/CD, and DevOps practices</li><li>
Familiarity with web-based dashboards or lightweight web development is a plus</li><li>
Excellent critical thinking, analytical and problem-solving skills</li></ul>
Related Work Experience:<ul><li>
3+ years of experience in data engineering, analytics engineering, or software engineering</li><li>
Experience supporting data platforms for manufacturing, supply chain, or operations environments preferred</li><li>
Proven experience working with cloud-based data platforms, ideally Microsoft Azure</li></ul>
Education Requirements:<ul><li>
Bachelor&rsquo;s degree in computer science, Engineering, or a related technical field required</li><li>
Master&rsquo;s degree preferred</li></ul>
What We Can Do for You<ul><li>
Innovation &amp; Technology: The ability to work with an award-winning team that is on the cutting edge of innovation.
</li><li>Exposure to World Class Leaders: Availability to global technology leaders that will expand your network and exposure you to emerging technologies and techniques.
</li><li>Agile Work Environment: We embrace agile, with management that believes in removing barriers, so you are empowered to experiment, iterate, and innovate.</li></ul>
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.
Analytics, Azure Data Factory, Business Intelligence (BI), Data Architecture, Data Driven, Data Modeling, Microsoft Azure, organization, PySpark, Python (Programming Language), SQL Databases, Structured Query Language (SQL)
Pay Range:
$124,600 - $148,200
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.
Annual Incentive Reference Value Percentage:
15
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.
Location(s):
United States of America
City/Cities:
Atlanta
Travel Required:
00% - 25%
Relocation Provided:
No
Job Posting End Date:
April 7, 2026
Our Purpose and Growth Culture:
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.
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. 
 
Annual Incentive Reference Value Percentage:15 
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>

Data Engineer

<div>
 CPS (Commercial Products Supply) is a key part of the Advantaged Supply Chain of the Technical Function of The Coca-Cola Company. CPS manufactures concentrates and beverage bases for sale to bottling partners all over the world. This global organization manages a network of 19 manufacturing plants in 18 different countries along with 2 office locations (Atlanta &amp; Drogheda, Ireland). CPS also manages complex additional materials supply chains (e.g. juice, coffee, tea, milk, etc.) on behalf of bottling partners.
 
 
 
 The Data Engineer
 
 will be responsible for the design, development, and operational excellence of the CPS data platform. This role focuses on hands-on development, technical execution, and cross-functional collaboration to build scalable, reliable, and secure data solutions that support data-driven decision-making across global plant operations and supply networks.
 
 
 
 What You'll Do For Us
 
 
 
 <ul>
 <li>
 Serve as a technical leader and subject matter expert for data engineering solutions
 </li>
 <li>
 Design, develop, and optimize data pipelines using Azure Data Factory (ADF) and/or Fabric
 </li>
 <li>
 Design, build, and maintain scalable data pipelines, transformations, and data models using PySpark, SQL, and Python
 </li>
 <li>
 Define and enforce data engineering best practices, standards, and architectural patterns
 </li>
 <li>
 Partner with CPS stakeholders, plant teams, and analytics partners to translate business needs into technical solutions
 </li>
 <li>
 Participate in technical design reviews and mentor other engineers, providing guidance without direct people management
 </li>
 <li>
 Ensure data quality, reliability, monitoring, and performance of production data pipelines
 </li>
 <li>
 Support roadmap planning, estimation, and prioritization for data engineering initiatives
 
 
 </li>
 </ul>
 What You'll Need
 
 
 
 Functional Skills
 
 
 
 <ul>
 <li>
 Strong proficiency in Python, SQL, and distributed data processing.
 </li>
 <li>
 Hands-on experience with Databricks, Snowflake, or any coding platform.
 </li>
 <li>
 Strong understanding of data warehousing concepts and analytical database design patterns
 </li>
 <li>
 Familiarity of job orchestration using tools such as Azure Data Factory (ADF), AWS Glue, etc.
 </li>
 <li>
 Solid understanding of data architecture, ETL/ELT design, and data modeling
 </li>
 <li>
 Experience with cloud-native data platforms, CI/CD, and DevOps practices
 </li>
 <li>
 Familiarity with web-based dashboards or lightweight web development is a plus
 </li>
 <li>
 Excellent critical thinking, analytical and problem-solving skills
 
 
 </li>
 </ul>
 
 Related Work Experience
 
 
 
 <ul>
 <li>
 3+ years of experience in data engineering, analytics engineering, or software engineering
 </li>
 <li>
 Experience supporting data platforms for manufacturing, supply chain, or operations environments preferred
 </li>
 <li>
 Proven experience working with cloud-based data platforms, ideally Microsoft Azure
 
 
 </li>
 </ul>
 
 Education Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Engineering, or a related technical field required
 </li>
 <li>
 Master&rsquo;s degree preferred
 
 
 </li>
 </ul>
 
 What We Can Do For You
 
 
 
 <ul>
 <li>
 Innovation &amp; Technology: The ability to work with an award-winning team that is on the cutting edge of innovation.
 </li>
 <li>
 Exposure to World Class Leaders: Availability to global technology leaders that will expand your network and exposure you to emerging technologies and techniques.
 </li>
 <li>
 Agile Work Environment: We embrace agile, with management that believes in removing barriers, so you are empowered to experiment, iterate, and innovate.
 
 
 </li>
 </ul>
 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.
 
 
 Analytics, Azure Data Factory, Business Intelligence (BI), Data Architecture, Data Driven, Data Modeling, Microsoft Azure, organization, PySpark, Python (Programming Language), SQL Databases, Structured Query Language (SQL)
 
 
 
 Pay Range
 
 
 
 $124,600 - $148,200
 
 
 
 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.
 
 
 
 
 Annual Incentive Reference Value Percentage
 
 
 
 15
 
 
 
 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.
 
 
 
 
 Location(s):
 
 
 
 United States of America
 
 
 
 City/Cities
 
 
 
 Atlanta
 
 
 
 Travel Required
 
 
 
 00% - 25%
 
 
 
 Relocation Provided:
 
 
 
 No
 
 
 
 Job Posting End Date
 
 
 
 April 7, 2026
 
 
 
 Our Purpose And Growth Culture
 
 
 
 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.
 
 
 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.
 
 
 Annual Incentive Reference Value Percentage:15
 
 
 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>

Cox Automotive

<div>The Decision Support organization provides data-driven insights, advanced analytics, and scalable data products to inform operational, strategic, and product-related decisions across Cox Automotive. Within Decision Support, the Applied Research team serves as the innovation engine, developing and operationalizing cutting-edge solutions across vehicle valuation, fraud detection, market research, and AI-driven decisioning-such as vehicle information enhancement, fraud detection, and machine learning for digital auction solutions. 
 
As a Senior Data Engineer on the Applied Research team, you design, build, and maintain the data infrastructure and pipelines that power the team's analytical products and models. You partner with data scientists, business intelligence analysts, and stakeholders across Decision Support to translate analytical requirements into scalable, reliable data architectures using Snowflake, AWS, and modern orchestration tools. You ensure data is accessible, trusted, and readily consumable, while driving automation, building strong semantic and context layers that enable AI and self-service analytics, reducing technical debt, and establishing reusable frameworks that extend value across Decision Support 
 
WHAT YOU'LL DO
 
 
Data Architecture and Pipeline Engineering 
<ul><li>
Design and implement robust, scalable data pipeline architectures using Snowflake, AWS (S3, Lambda, EC2), and modern orchestration tools to support analytical models, data products, and reporting across Decision Support.</li><li>
Build and maintain optimal ETL/ELT workflows for structured and unstructured data, ensuring alignment with enterprise architecture standards and business requirements.</li></ul> 

Data Quality and Reliability 
<ul><li>
Develop and execute automated testing and validation frameworks to ensure data integrity, pipeline reliability, and system stability across all analytical outputs.</li><li>
Monitor and troubleshoot data anomalies, proactively identifying root causes and implementing fixes to maintain high standards of data quality.</li></ul> 

Platform and Infrastructure Development 
<ul><li>
Operationalize data science models by building the infrastructure required for deployment, monitoring, and refresh schedules in cloud environments.</li><li>
Automate manual data processes, transforming them into repeatable, scalable capabilities that reduce technical debt and free data scientist capacity for higher-value work.</li><li>
Develop tools and programming to cleanse, organize, and transform data leveraging AI, ML, and big data techniques. Design and maintain semantic layers, context layers, and metadata structures that enable AI-powered workflows, GenAI applications, and self-service data access across the organization.</li><li>
Design, build, and maintain AI agents and intelligent automation workflows that streamline data operations, accelerate insight delivery, and extend the team's capacity across Decision Support.</li></ul> 

Collaboration and Stakeholder Engagement 
<ul><li>
Partner with data scientists, business intelligence analysts, product owners, and the broader Decision Support team to translate analytical requirements into logical and physical database designs.</li><li>
Collaborate with internal and external data providers on data validation, providing feedback and making customized changes to data feeds and mappings for analytical and operational use.</li></ul> 

Process Improvement and Innovation 
<ul><li>
Identify and implement improvements to internal data management processes, influencing the data infrastructure roadmap through technical leadership and innovation.</li><li>
Mentor junior data scientists, engineers, and analysts, contribute to design standards and assurance processes, and establish reusable data frameworks that extend value across Decision Support.</li></ul> 

WHO YOU ARE 
 
Minimum Qualifications 
<ul><li>
Qualified candidates will live within a commutable distance to the Atlanta office and work in a hybrid model</li><li>
Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future.</li><li>
Bachelor's degree in a related field with 4+ years of experience, or an equivalent combination of education and experience (e.g., Master's degree and 2 years of experience, Ph.D. and up to 1 year of experience, or 16 years of experience in a related field).</li><li>
Strong Python programming with libraries such as Pandas, PySpark, and SQL proficiency, with experience building and optimizing complex queries, data transformations, and pipeline logic.</li><li>
Proven experience designing and building data pipelines and architectures in cloud environments, including hands-on use of Snowflake and AWS services such as S3, Lambda, and EC2.</li><li>
Experience with ETL/ELT processes, data modeling, data warehousing concepts, and big data technologies (e.g., Spark, Kafka).</li><li>
Familiarity with data orchestration tools such as Apache Airflow, dbt, or Dagster, and experience with CI/CD pipelines for data engineering.</li><li>
Hands-on experience with GenAI tools (e.g., Claude, Gemini, open-source LLMs) for productivity, prompt engineering, or data enrichment.</li><li>
Familiarity with GenAI workflows such as retrieval-augmented generation, prompt engineering, or lightweight fine-tuning, and ability to assess model output quality.</li><li>
Experience with automated testing frameworks and data validation techniques to ensure pipeline reliability and data quality.</li></ul> 

Preferred Qualifications 
<ul><li>
Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.</li><li>
Experience building AI agents, intelligent automation, or autonomous data workflows using agent frameworks such as AWS Bedrock AgentCore, Strands, CrewAI, LangGraph, or similar.</li><li>
Full-stack software development experience (frontend, backend, networking, APIs) enabling end-to-end ownership of data products and internal tools.</li><li>
Experience in the automotive industry or with large-scale marketplace data.</li></ul> 

Why Join Our Team 
<ul><li>
Build the data infrastructure behind mission-critical products that influence vehicle pricing, fraud prevention, and digital-auction innovation.</li><li>
Access modern cloud-native platforms (Snowflake, AWS), GenAI tooling, and rich automotive data sets at scale.</li><li>
Collaborate with a diverse group of researchers, engineers, and industry experts in a culture that values curiosity, mentorship, and measurable impact.</li><li>
Advanced Analytical Thinking, able to diagnose complex data issues and design scalable solutions that anticipate downstream effects.</li><li>
Skilled Business Acumen, understanding how data infrastructure decisions impact analytical products, revenue, and customer experience.</li><li>
Skilled Communication, able to convey technical architecture decisions and trade-offs clearly to both technical and non-technical audiences.</li><li>
Proficiency with visualization tools such as Tableau, Streamlit, or similar, for insight communication and stakeholder reporting.</li></ul> 

Travel: 0-10% 
 
Hybrid: ability to work in-office 2-3 days per week. 
 
USD 101,500.00 - 169,100.00 per year 
 
Compensation: 
 
Compensation includes a base salary in the range of $101,500.00 - $169,100.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program. 
 
Benefits: 
 
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.</div>

Sr Data Engineer - Applied Research & Decision Support

Feedzai

<div><div>Feedzai is the world's first RiskOps platform for financial risk management, and the market leader in safeguarding global commerce with today's most advanced cloud-based risk management platform, powered by machine learning and artificial intelligence. Feedzai is securing the transition to a cashless world while enabling digital trust in every transaction and payment type. The world's largest banks, processors, and retailers trust Feedzai to protect trillions of dollars and manage risk while improving the customer experience for everyday users, without compromising privacy. Feedzai is a Series D company and has raised $282M to date. With a valuation of $2 billion, our technology protects 1 billion consumers and 90 billion transactions each year.</div><div>
<div>
<div>The Risk &amp; AI team within Customer Success is highly engaged with our clients and solves technical and analytical problems with a business-focused mentality and customer-facing attitude. They activate, maintain, and support clients which includes designing risk management strategies, developing models and rules, implementing data pipelines to make them successful, and providing client enablement training. Additionally, they work cross-functionally with other departments such as research, product, marketing with a collaborative team spirit spanning the globe to ensure Feedzai delivers best-in-class risk prevention solutions. Being on the frontline of fighting crime and protecting people from financial harm is incredibly inspiring to each of us. Join Us! 

<h4 class="jobSectionHeader">
Your Day-to-Day:</h4>
<ul><li>Understand, profile, and assess the quality of raw data from diverse client sources</li>
<li>Design, build, test and maintain scalable and robust data pipelines for ingestion, transformation, and enrichment</li>
<li>Implement automated data validation, cleaning, and quality assurance processes</li>
<li>Collaborate with data scientists to support feature engineering and data preparation workflows</li>
<li>Optimize performance and cost efficiency of data workflows across cloud and on-prem environments</li>
<li>Lead discussions with client stakeholders on data architecture, integration, and delivery strategies</li>
<li>Partner with internal teams (Product, Engineering, Research) to improve platform tooling and reusability</li>
<li>Mentor and guide junior engineers in best practices, architecture design, and coding standards</li></ul> 

<h4 class="jobSectionHeader">
You Have &amp; You Know-how:</h4>
<ul><li>Bsc or MSc or PhD in computer science, software engineering, or related technical field</li>
<li>Expertise in distributed data processing frameworks (Spark, Hadoop, or similar)</li>
<li>Strong coding skills in Python or Go or Scala; proficiency in python.</li>
<li>Experience with workflow orchestration tools (e.g., Airflow, Dagster, Prefect)</li>
<li>Deep understanding of data modeling, warehousing, and ETL best practices</li>
<li>Familiarity with resource optimization and monitoring at both system and application levels</li>
<li>Familiarity with modern data stack tools and warehouse technologies (e.g., dbt, Snowflake, BigQuery, Redshift)</li>
<li>Experience working in cloud environments (AWS, GCP, or Azure) with infrastructure-as-code tools</li>
<li>Bonus: Experience with ML data pipelines and feature stores</li>
<li>Strong communication skills to articulate technical concepts to diverse audiences</li></ul> 


The Customer Success Team is responsible for delivering our product to our clients. This includes education, configuration, solution development, and risk strategy to enable our clients to address their pain points. We collaborate with our clients to ensure they have the right solution, build out a strategy and training plan for them, and then support them through each phase of our client lifecycle. We grow at a fast clip and believe no challenge is too big or too small. Therefore, we have an open environment that encourages us to lean in, try new things, and discover our potential. Join Us! 

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#LI-remote #LI-BR1
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</div><div>Your First 30-Days at Feedzai:

You will be immersed in our brand with training, connections, and one-on-one time with your manager. You may shadow your colleagues virtually or onsite at an office depending on where you work as you are supported through your Feedzai journey. In addition, you will have access to a ton of information to give you history, context, and all the knowledge you can handle about Feedzai and the team. Finally, you will start working on projects and collaborating on work currently being done. We can't wait to have you join the team!

Life at Feedzai Instagram

Feedzai Culture

Feedzai is an Equal Opportunity Employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Feedzai does not accept unsolicited resumes from recruiters or employment agencies.

Feedzai will use the personal data you provide us with by filling out this form for reviewing your application and to potentially negotiate a contract with you. Your personal data will be retained by Feedzai for 24 months following your application. Please see our Privacy Notice available at https://www.feedzai.com/legal/feedzai-candidate-privacy-policy/ and https://www.feedzai.com/legal/feedzai-california-candidates-privacy-policy/ for more information on how we process your personal data.</div></div>

Technical Project Manager

HERMEZ-IT

Position Description: GTA Senior Software Configuration/Release EngineerThis position is responsible for automating and maintaining cloud configuration and infrastructure processes across GTA-AWS environments.ON-SITE INTERVIEWS ONLYHYBRID - IN THE OFFICE 2 DAYS PER WEEK Candidates Must be Permanent Residents. Position available for extensions. The Senior Software Configuration/Release Engineer is responsible for designing, automating, and maintaining cloud configuration, release, and infrastructure management processes across GTA&rsquo;s AWS environments. This role ensures highly available, secure, compliant, and well-governed cloud platforms through effective automation, Infrastructure as Code (IaC), patch management, backup strategy, and certificate governance. The engineer will work closely with DevOps, Security, and Infrastructure teams to support stable, reliable statewide services. Responsibilities Cloud Configuration &amp; Infrastructure Automation Develop, implement, and maintain configuration management processes, policies, and standards for AWS environments. Build, deploy, and enhance Infrastructure as Code (IaC) solutions using Terraform to automate provisioning, configuration, and lifecycle management of AWS resources (e.g., EC2, S3, RDS, IAM, ACM). Manage and optimize multiple environments (Dev, Test, Stage, Prod) ensuring configuration consistency and security. Release Engineering &amp; AWS DevOps Senior Experience supporting automation pipelines using the AWS Code Suite: Code Commit, Code Build, CodeDeploy, and CodePipeline. Work closely with DevOps teams to support release activities, deployments, rollbacks, configuration updates, and environment readiness. Backup, Patching &amp; Compliance Design and maintain automated AWS backup solutions to ensure data integrity, resiliency, and compliance with state retention policies. Implement automated patching workflows for cloud infrastructure to maintain required security and compliance posture. Conduct periodic audits of environment configuration, patch levels, backup integrity, and certificate compliance; recommend and implement improvements. Security &amp; Certificate Management Manage installation, renewal, rotation, and validation of SSL/TLS certificates across AWS services. Ensure secure communication configurations and alignment with state and federal security requirements. Documentation, Governance &amp; Training Maintain detailed, accurate documentation of configuration baselines, IaC standards, module usage, and environment changes. Provide training and guidance to team members on Terraform, AWS infrastructure best practices, backup strategies, patch automation, and certificate management. Core Competencies Strong analytical and troubleshooting skills with a proactive approach to cloud optimization. Ability to break down complex problems, create tactical plans, and contribute to strategic improvements. Attention to detail with strong diagnostic and problem-investigation abilities. Effective verbal and written communication skills. Strong organizational and planning abilities. Self-motivated, collaborative, and able to work in fast-paced environments. Minimum Qualifications Bachelor&rsquo;s degree in computer science, Information Systems, or related field; or equivalent professional training, certification, or experience. Eight (8) years of configuration management experience, including: Proficiency with Terraform and IaC methodologies Hands-on experience with AWS services (EC2, S3, RDS, IAM, ACM) Experience with cloud backup solutions and automated patching Expertise in SSL/TLS certificate management and security best practices Preferred Qualifications Scripting experience (e.g., Python, Bash, PowerShell) for automation within AWS/Terraform. AWS Certification(s) and/or Terraform Certification. Experience working with state or local government environments. Experience with vendor oversight or management. Experience with project management or Agile delivery tools. Experience with organizational change management (OCM).Skills Table: Skill Required / Desired Amount of ExperienceSENIOR EXPERIENCE using the AWS Code Suite: CodeCommit, CodeBuild, CodeDeploy, and CodePipeline Required 7 YearsThe engineer will work closely with DevOps, Security, and Infrastructure teams to support stable, reliable statewide services. Required 7 YearsBuild, deploy, and enhance Infrastructure as Code (IaC) solutions using Terraform to automate provisioning, configuration, and lifecycle management Required 3 YearsDesign and maintain automated AWS Backup, Patching solutions to ensure data integrity, resiliency, and compliance with state retention policies. Required 7 YearsManageinstallation, renewal, rotation, and validation of SSL/TLS certificates across AWS services.Required 7 YearsMaintain detailed, accurate documentation of configuration baselines, IaC standards, module usage, and environment changes. Required 3 YearsProvide training and guidance to team members on Terraform, AWS infrastructure best practices, backup strategies, patch automation, and certificate Required 3 YearsON-SITE INTERVIEWS ONLY RequiredTWO DAYS PER WEEK WORK IN THE OFFICE RequiredWhat is your candidate's email address?If selected for engagement, your candidate will be expected to start no later than 2 weeks (10 business days) after the client's selection date? Do you agree to this requirement?On-Site Interviews Only. Do you and your candidate accept this requirement? Hybrid Work Environment REQUIRES 2 days-per-week On-Site in the office. Do you and your candidate accept this requirement? In what City and State is your candidate located? Candidates MUST be Permanent Residents (US Citizens or Green Card Holders). Do you and your candidate accept this requirement?Pay: $47.00 per hourWork Location: Hybrid remote in Atlanta, GA 30332

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