senior data engineer

ai engineer

associate data scientist

aws cloud data engineer

business data scientist

cloud data engineer

Shift4

<div>Shift4 (NYSE: FOUR) is boldly redefining commerce by simplifying complex payments ecosystems across the world. As the leader in commerce-enabling technology, Shift4 powers billions of transactions annually for hundreds of thousands of businesses in virtually every industry. For more information, visit www.shift4.com. 
As an AWS Cloud Data Engineer, you will use your experience in cloud data engineering and Redshift, AWS Glue, Lambda, and DMS Kinesis technologies first and foremost - being responsible for designing, developing, and maintaining robust data infrastructure solutions to support the organization&rsquo;s data-driven initiatives. We seek self-driven and motivated individuals who take ownership of their projects. You will collaborate closely with cross-functional teams including project managers, business analysts, and software engineers to ensure the availability, reliability, and scalability of our system.
This role is onsite and can be based at any of the following Shift4 locations: USA: Tampa, FL / Atlanta, GA / Las Vegas, NV / Center Valley, PA 
Canada: Vancouver, BC / Toronto, ON
Hours: Day shift 
Responsibilities
Technology:<ul><li>
Work hands on within the cloud data platform to deliver new features, fix issues and ensure best practices.</li><li>
Contribute to the technical design and architecture development for parts of the solution. Ensure that best practices are defined and adhered to</li><li>
Diagnose and resolve issues with deployed systems (as part of level 3 support).</li><li>
Become technically solid for the cloud data platform.</li><li>
Evaluate and resolve technical debt, engage in platform modernization and build reliable features.</li><li>
Recommend and implement best practices and standards for the cloud data platforms.</li></ul>
People and Leadership<ul><li>
Work closely with multiple engineering teams, product owners and stakeholders to understand needs and meet data requirements.</li><li>
Interface across multiple engineering teams and engineering groups working on various parts of the platform.</li><li>
Mentor and develop junior team members.</li></ul>
Process<ul><li>
Ensure efficient operation of Scrum within the team.</li><li>
Analyze and update tools and processes when required.</li><li>
Measure key team metrics.</li></ul>
Qualifications<ul><li>
Bachelors or Masters degree in Computer Science, Information Systems, or a related field. Experience in lieu of a degree may be considered.</li><li>
3+ years of experience in cloud data engineering.</li><li>
2+ years working with AWS services including Redshift, AWS Glue, Lambda, DMS, Kinesis, etc.</li><li>
1+ years working with ETL tools (MS SSIS or similar).</li><li>
Significant hands-on experience working with databases, schemas, complex queries, data modeling, stored procedures, etc. (MS SQL Server, Postgres and Redshift preferred).</li><li>
Excellent communication skills in English, with the ability to collaborate effectively with cross-functional teams and stakeholders.</li></ul>
Additional experience that is a plus to have:<ul><li>
AWS Certified Data Engineer &ndash; Associate</li><li>
AWS Certified Cloud Practitioner</li><li>
AWS Certified AI Practitioner</li></ul> 
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.</div>

AWS Cloud Data Engineer

The Home Depot

Position Purpose: The Data Engineer is an exciting role with The Home Depot&rsquo;s Home Services team that will revitalize and invigorate the way we manage and view data. For this role, we are looking for someone who can develop, implement, test and maintain data pipelines and data structures within a cloud-based data store &amp; warehouse. This person will support the Home Services BI and Data Science strategic initiatives to drive better customer experiences, more profitable outcomes, and actionable business insights. As a Data Engineer, you will be part of a dynamic team with data practitioners of all experience levels who help each other build and grow technical skills while creating, deploying, and supporting data products. Why work here? Our entrepreneurial roots and maverick mentality, coupled with the resources and backing of the #1 home improvement retailer in the world, The Home Depot, is a unique opportunity for you to be a transformative data professional. Our culture is rooted in curiosity, development, and fun. Most importantly, our team members are always inspired, engaged, and ready for growth. That means you'll have the resources and the runway to create exceptional out-of-the-box work. Moreover, you will play an important role in leveraging our culture, people, systems, processes, and technology - ultimately to provide incredible customer and associate experiences, while growing business for Home Services and The Home Depot. This is your chance to be part of something big! Key Responsibilities: 20% Implement a real time streaming data ingestion and processing pipeline using Google Dataflow (Apache Beam) 20% Interface with business intelligence analysts and others in IT (i.e. data engineers, architects, WebOps) in frequent whiteboard sessions to discuss the design, implementation, and testing of data pipelines 20% Maintain data architecture standards and ETL/ELT best practices consistent with a column oriented data store in an analytic use case 20% Active and engaged participation in the Scrum delivery process 20% Support solutions in production Direct Manager/Direct Reports: Position Reports to Manager or Sr. Manager This position has 0 direct reports Travel Requirements: Typically requires overnight travel less than 5% of the time. Physical Requirements: 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. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: Working knowledge of Tableau Working knowledge of presentation software (e.g., Microsoft PowerPoint) Demonstrated ability to collaborate and work effectively with cross-functional teams Demonstrated project management skills Ability to convey complex or technical ideas and processes in easy-to-understand terms to diverse audiences Excellent written and verbal communication skills Understanding of data engineering fundamentals and architecture Experience building ETL/ELT pipelines with orchestration through Jenkins Strong SQL query writing with columnar databases (BigQuery) Exposure to CI/CD tools (jenkins), version control (git), data processing (dbt), and workflow orchestration (airflow/kubeflow/etc.) Experience with data warehousing and dimensional modeling Programming ability (python) Familiarity with Agile methodologies and the Jira platform Ability to go from whiteboard discussion to code Ability to communicate effectively with technical and non-technical audiences Natural inclination to explore and implement new ideas and technologies Experience working directly with subject matter experts in both business and technology Ability to act independently with minimal supervision Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 3 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Action Oriented Collaborates Communicates Effectively Customer Focus Drives Results

Data 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 Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role requires both deep technical expertise and strong consulting skills to translate business needs into scalable solutions and communicate effectively with all stakeholders. You will help architect and deliver high-quality data solutions that drive measurable business value.</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>
</ul></div><h3 class="jobSectionHeader">Minimum Requirements</h3><div>
<ul><li>Bachelor&rsquo;s degree in computer science or related field</li>
<li> 6+ 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, and Azure Database for PostgreSQL</li>
<li>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>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><div>
<ul><li>Experience working directly with clients, business stakeholders, or cross-functional teams in a consulting or professional services environment.</li>
<li>Experience building data agents, including NLQ, Databricks Genie, and Fabric Data Agents</li>
<li>Experience with data management, including data governance, data security, master data management, and familiarity with different industry security requirements</li>
<li>Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft</li>
</ul></div><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 providing 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 or reasonable accommodation due to a disability during the application or recruiting process, email jobusa@reply.com. Visit our website at www.reply.com to learn more about our open roles.</div> 
<div></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

Cognizant

Azure Databricks Administrator
 Location: United States (Remote) About Cognizant
 Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes, and transform experiences so they can stay ahead in a rapidly changing world. Together, we deliver digital solutions that drive measurable business outcomes across industries.
 At Cognizant, you'll work with industry-leading professionals, cutting-edge technologies, and some of the world's most recognized organizations while advancing your career in a collaborative and inclusive environment. Azure Databricks Administrator
 Cognizant is seeking a highly skilled Azure Databricks Administrator to join our growing Cloud, Data & AI practice. This role is responsible for the administration, governance, security, optimization, and operational support of enterprise-scale Azure Databricks environments.
 The ideal candidate will possess deep expertise in Azure Databricks, Unity Catalog, Azure networking, security, data governance, and platform operations. This individual will serve as a technical leader and trusted advisor, partnering with engineering, infrastructure, security, and operations teams to ensure a scalable, secure, and high-performing data platform. Work Model
 Remote - United States Responsibilities Azure Databricks Administration & Optimization
 Design, deploy, and administer Azure Databricks workspaces utilizing VNet injection, private endpoints, and secure cluster connectivity.
 Configure and maintain cluster policies, Databricks Runtime versions, autoscaling, and workload management standards.
 Optimize platform performance through cluster tuning, Spark configuration management, and Delta Lake best practices.
 Perform capacity planning and resource forecasting to support enterprise growth.
 Drive cost optimization initiatives including right-sizing, auto-termination policies, reserved instances, and spot instance utilization.
 Troubleshoot and resolve complex platform, cluster, job execution, and connectivity issues. Data Governance & Unity Catalog
 Design, implement, and administer Unity Catalog metastores, catalogs, schemas, external locations, and volumes.
 Establish and enforce fine-grained access controls across enterprise data assets.
 Support data lineage tracking, auditing, and governance requirements.
 Govern managed and external data assets while promoting best practices for data management. Security & Identity Management
 Integrate Azure Databricks with Microsoft Entra ID for authentication and Single Sign-On (SSO).
 Configure and manage SCIM provisioning for automated user and group lifecycle management.
 Implement secure secret management using Azure Key Vault-backed secret scopes.
 Define and manage access controls across Unity Catalog, Databricks workspaces, and Azure Data Lake Storage Gen2.
 Support security audits, compliance reviews, and governance initiatives. Networking & Connectivity
 Architect and maintain secure networking solutions utilizing VNets, NSGs, private endpoints, and firewall controls.
 Ensure secure connectivity between Databricks, Azure services, and on-premises environments.
 Manage DNS resolution, routing configurations, and network security best practices. Data Integration & Automation
 Design and implement Azure Data Factory (ADF) integration patterns with Azure Databricks.
 Support orchestration of enterprise data pipelines and notebook execution workflows.
 Partner with DevOps teams to establish and maintain CI/CD pipelines.
 Utilize Databricks REST APIs and automation frameworks to streamline platform administration. Storage Management
 Provide guidance on Azure Data Lake Storage Gen2 architecture and configuration.
 Implement secure access patterns using service principals, credential passthrough, and Microsoft Entra ID integration.
 Troubleshoot storage connectivity and access management issues. Operations & Platform Reliability
 Implement monitoring and alerting using Azure Monitor, Log Analytics, and Databricks native monitoring tools.
 Monitor service availability, platform health, resource utilization, and job performance.
 Support disaster recovery, business continuity, and resiliency planning efforts.
 Plan and coordinate Databricks Runtime upgrades and platform maintenance activities.
 Communicate service impacts and operational risks to stakeholders. Documentation & Enablement
 Develop and maintain architecture documentation, diagrams, standards, and operational runbooks.
 Establish best practices for platform governance, security, cost optimization, and performance management.
 Provide technical guidance, training, and knowledge transfer to internal teams. Stakeholder Engagement
 Collaborate with data engineering, data science, infrastructure, networking, security, and operations teams.
 Act as the subject matter expert for Databricks platform administration and governance.
 Participate in architecture reviews and provide technical leadership for strategic initiatives. Required Qualifications
 Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent work experience.
 5+ years of experience supporting cloud-based data and analytics platforms.
 Hands-on experience administering Azure Databricks in enterprise environments.
 
Strong experience with: 
Azure Databricks
 Azure Data Factory (ADF)
 Azure Data Lake Storage Gen2 (ADLS Gen2)
 Microsoft Entra ID
 Azure Key Vault
 Azure Networking (VNets, NSGs, Private Endpoints)
 Azure Monitor and Log Analytics
 Experience implementing and managing Unity Catalog.
 Strong understanding of cloud security, RBAC, IAM, encryption, and governance principles.
 Experience with SCIM-based identity provisioning.
 Proficiency in Python, SQL, PowerShell, and Azure CLI.
 Experience supporting CI/CD initiatives using Azure DevOps, GitHub Actions, or similar platforms.
 Excellent analytical, troubleshooting, and problem-solving skills.
 Strong verbal and written communication skills. Preferred Qualifications
 Experience supporting large-scale enterprise Data & AI platforms.
 Knowledge of Spark architecture, Delta Lake optimization, and Databricks APIs.
 Experience with Infrastructure as Code (IaC) tools and cloud automation frameworks.
 Experience working within regulated or highly governed environments.
 Microsoft Certified: Azure Solutions Architect Expert.
 Databricks Certified Data Engineer Associate or Professional certification. Salary and Other Compensation
 Applications will be accepted until 08/30/2026 .
 The annual salary for this position is between $110,000 and $160,000 , depending on experience, qualifications, geographic location, and other factors permitted by law.
 This position is also eligible for Cognizant's discretionary annual incentive compensation program, based on performance and subject to the terms of the applicable plan. Benefits
 Cognizant offers a comprehensive benefits package that includes:
 Medical, Dental, Vision, and Life Insurance
 Short-Term and Long-Term Disability Coverage
 401(k) Plan with Company Contributions
 Health Savings Account (HSA) and Flexible Spending Accounts (FSA)
 Paid Time Off (PTO), Company Holidays, and Sick Leave
 Paid Parental Leave
 Employee Assistance Program (EAP)
 Professional Development and Certification Opportunities
 Employee Wellness and Recognition Programs
 Benefits are subject to eligibility requirements and may vary by location and employment status. Why Choose Cognizant?
 Opportunity to work with leading cloud, data, and AI technologies.
 Exposure to enterprise-scale digital transformation initiatives.
 Continuous learning and professional growth opportunities.
 Collaborative, diverse, and inclusive culture.
 Flexible remote work environment. Equal Opportunity Employer
 Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic under applicable law.
 If you require a reasonable accommodation to search for a job opening or submit an application, please contact Cognizant's recruiting team for assistance.

Azure Databricks Admin

Capgemini

<div><div><div><div>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
<div><div><div><h2 class="jobSectionHeader">Short Description</h2>
</div><div>Location:
 
Fort Mill, SC
</div></div><div><div><h2 class="jobSectionHeader">Job Description</h2>
</div><div>1. Markit EDM CADIS Core Development
<ul><li>Lead design and development of enterprise MDM solutions on Markit EDM CADIS</li>
<li>Architect and implement</li>
<li>Core Matcher frameworks entity resolution survivorship rules</li>
<li>Golden Record creation and lifecycle management</li>
<li>Develop E2E data mastering pipelines including</li>
<li>Data Constructors</li>
<li>Data Porters</li>
<li>Data Flows Rules Engines</li>
<li>Ensure scalability reusability and performance optimization
 
2. Workflow UI Data Governance</li>
<li>Design and develop Workflow UI components</li>
<li>WF Pages WF Elements userdriven stewardship flows</li>
<li>Implement data governance workflows approval exception handling audit trails</li>
<li>Enable data lineage transparency and stewardship across domains especially PartyClient
 
3. EventDriven RealTime Architecture</li>
<li>Implement realtime data processing and notifications using</li>
<li>Apache Kafka Confluent</li>
<li>Eventdriven EDM triggers</li>
<li>Design near realtime mastering and synchronization patterns</li>
<li>Integrate EDM into enterprise event ecosystems
 
4. API Microservices Integration</li>
<li>Develop and expose RESTful APIs using</li>
<li>Data Generators</li>
<li>Process Launchers</li>
<li>Integrate with microservices architecture Spring Boot Java Nodejs</li>
<li>Enable APIfirst EDM integration strategy across systems
 
5. Cloud Modern Data Platform</li>
<li>Deploy and manage EDM solutions on AWS or Azure equivalent</li>
<li>AWS Glue ETL orchestration</li>
<li>Lambda serverless triggers</li>
<li>S3 Data Lake integration</li>
<li>RDS Aurora</li>
<li>SNSSQS eventing</li>
<li>Integrate EDM with modern data platforms</li>
<li>Snowflake Databricks Redshift</li>
<li>Design hybrid architecture</li>
<li>EDM golden source Data Lake analytical layer</li>
</ul></div></div><div><div><h2 class="jobSectionHeader">Job Description - Grade Specific</h2>
</div><div><ul><li>6. Data Engineering Advanced Processing</li>
<li>Work with Python PySpark Spark SQL for</li>
<li>Data transformation</li>
<li>Enrichment pipelines</li>
<li>Largescale data processing</li>
<li>Handle ingestion from</li>
<li>APIs flat files streaming feeds databases</li>
<li>Optimize largevolume batch and streaming pipelines
 
7. DevOps CICD Infrastructure</li>
<li>Build and maintain CICD pipelines for EDM</li>
<li>GitHub GitLab</li>
<li>Octopus Deploy Jenkins Azure DevOps</li>
<li>Use Infrastructure as Code IaC</li>
<li>Terraform CloudFormation</li>
<li>Implement</li>
<li>Automated deployments</li>
<li>Environment promotion</li>
<li>Version control strategies
 
8. Containerization Platform Engineering</li>
<li>Work with Docker Kubernetes EKSAKS for</li>
<li>Microservices deployment</li>
<li>Integration layers around EDM</li>
<li>Enable scalable resilient cloudnative deployments
 
9. Observability Performance Engineering</li>
<li>Implement monitoring and logging using</li>
<li>Splunk ELK Prometheus Grafana CloudWatch</li>
<li>Performance tuning of matchers and batch jobs</li>
<li>Rootcause analysis and production support
 
10. Database Data Modeling</li>
<li>Design and optimize across</li>
<li>SQL Server Oracle PostgreSQL</li>
<li>Snowflake cloud native warehouses</li>
<li>Develop</li>
<li>Complex SQL</li>
<li>Stored procedures</li>
<li>Indexing and performance tuning strategies
 
11. Leadership Delivery</li>
<li>Lead onsite offshore model delivery</li>
<li>Act as technical SME and solution architect for EDM</li>
<li>Collaborate with Business Analysts, Data Architects &amp; Scrum Teams</li>
<li>Conduct code reviews, design reviews, release governance
 
Required Qualifications</li>
<li>5-10 years of experience in MDM with 5 years in Markit EDM IHS
 
Strong expertise in:</li>
<li>Core Matcher design</li>
<li>Data mastering pipelines</li>
<li>WorkflowUI development</li>
<li>Handson experience with</li>
<li>Kafka or equivalent streaming</li>
<li>AWS cloud services</li>
<li>REST API development</li>
<li>Strong database experience across RDBMS cloud data warehouses</li>
<li>Experience with CICD Git Terraform</li>
<li>Proficiency in Python or Sparkbased data processing
 
Preferred Qualifications</li>
<li>Experience with Markit EDM Cloud 19x</li>
<li>Strong domain knowledge in</li>
<li>Party Client Instrument MDM</li>
<li>Experience with:</li>
<li>Databricks Snowflake ecosystems</li>
<li>Microservices architecture Spring Boot Nodejs</li>
<li>Kubernetes containerization</li>
<li>Exposure to data governance frameworks Collibra Alation etc
 
Key Competencies</li>
<li>Deep expertise in Markit EDM modern data ecosystem</li>
</ul></div></div></div>The base compensation range for this role in the posted location is: 105,000 - 115,000
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. 
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
<ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li>
</ul><ul><li>Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li>
<li>Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li>
<li>Life and disability insurance</li>
<li>Employee assistance programs</li>
<li>Other benefits as provided by local policy and eligibility</li>
</ul>Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. 
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</div></div></div></div>

FSSBU - Markit EDM Developer - C2 - LPL

Position Purpose: As a Software Engineer Manager, you will have the opportunity to contribute to the development of innovative products while supporting the growth of the next generation of engineering talent. In this role, you will be responsible for driving strategic technology decisions, building scalable and resilient systems, and delivering solutions that align with organizational objectives, including retail and promotional pricing as well as pricing optimization initiatives. In addition, you will collaborate with strategic vendors to ensure that third-party tools and applications are accessible and effectively leveraged by product teams. You will also play a key role in guiding the adoption of AI/ML-driven solutions to enable data-driven decision-making and enhance automation across the organization. Key Responsibilities: 30% Delivery &amp; Execution: Collaborates and pairs with product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions Documents, reviews and ensures that all quality and change control standards are met Writes custom code or scripts to automate infrastructure, monitoring services, and test cases Works with vendors and partners for the successful implementation of critical tooling and platforms Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively Contributes to enterprise-wide tools to drive destructive testing, automation, and engineering empowerment Evaluates new technologies for adoption across the enterprise Participates in and leads review board sessions to drive consistency across the enterprise Fills in on product teams for engineers who are out of the office 10% Support &amp; Enablement: Fields questions from engineers, product teams, or support teams Monitors tools and participates in conversations to encourage collaboration across product teams Provides application support for software running in production Acts as a technical escalation point for the engineers on the team 50% People: Provides leadership, mentoring, and coaching to Software Engineers Attracts, retains, and develops top talent to build a world class Software Engineering Team Conducts annual and mid-year reviews by reviewing individual development plans and team feedback Fosters collaboration with team members to drive consistency across product teams, and finds opportunities to expose engineers to career interests Acts as a proponent of modern software development practices Guides team members in strategy, alignment, analysis, and execution tasks within and across product teams Participates in and contributes to learning activities around modern software design and development core practices (communities of practice) 10% Learning: Learns, through reading, tutorials, and videos, new technologies and best practices being used within other technology organizations Builds relationships with technology leaders at other companies to learn best practices and elegant solutions to common problems Direct Manager/Direct Reports: Typically reports to the Software Engineer Sr. Manager, Technology Director or Sr. Director. Travel Requirements: Typically requires overnight travel 5% to 20% of the time. Physical Requirements: 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. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Mastery of an object oriented programming language (preferably Java) Must be legally permitted to work in the United States Preferred Qualifications: 7-9 years of relevant work experience <ul><li>Mastery of a modern programming language (preferably java &amp; Python)</li></ul>Experience building, productionizing, and operating AI/ML systems, statistical models, recommendation systems, personalization platforms, or Generative AI solutions at enterprise scale Hands-on experience with big data platforms, distributed data processing, and large-scale data pipelines <ul><li>Experience with orchestration and workflow tools such as Apache Airflow, Cloud Composer, or similar platforms</li></ul>Experience with MLOps practices, including model deployment, monitoring, retraining workflows, feature pipelines, experimentation, and production model governance <ul><li>Experience working with cloud platforms, preferably Google Cloud Platform, including services such as BigQuery, Vertex AI, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and Kubernetes</li><li>Experience designing and scaling high-throughput, low-latency, distributed systems that support customer-facing recommendations, search, personalization use cases</li></ul>Strong SQL skills and experience working with relational, NoSQL, and analytical data stores <ul><li>Experience integrating AI/ML models into production applications, APIs, data products, or decisioning platforms</li><li>Experience with experimentation platforms, A/B testing, feature evaluation, ranking systems, or optimization techniques</li><li>Experience with retail, ecommerce, search, personalization, or recommendation platforms preferred</li><li>Experience using AI agents or developer productivity tools to improve engineering effectiveness, accelerate delivery, and raise team quality</li><li>Strong understanding of modern software delivery practices, CI/CD pipelines, observability, automated testing, and production readiness</li><li>Proficient in troubleshooting complex distributed systems, analyzing logs, monitoring system health, and resolving production issues</li><li>Ability to quickly understand complex systems, identify technical risks, and guide teams toward practical solutions</li><li>Experience mentoring engineers, growing technical talent, and reinforcing strong software engineering fundamentals</li><li>Experience managing team execution, balancing workloads, setting priorities, and delivering through ambiguity</li><li>Experience working across product, data science, analytics, architecture, infrastructure, and business stakeholders in a matrixed environment</li><li>Experience translating high-level strategy into technical roadmaps, delivery plans, and measurable outcomes</li><li>Experience managing vendor relationships, third-party platforms, or external technology partners when needed</li></ul>Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 7 Preferred Years of Work Experience: 5 years of experience data and ML space Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs Balances Stakeholders: Anticipating and balancing the needs of multiple stakeholders Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals Business Insight: Applying knowledge of business and the marketplace to advance the organization's goals Collaborates: Building partnerships and working collaboratively with others to meet shared objectives Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Develops Talent: Developing people to meet both their career goals and the organization's goals Drives Engagement: Creating a climate where people are motivated to do their best to help the organization achieve its objectives Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action Manages Ambiguity: Operating effectively, even when things are not certain or the way forward is not clear Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations Apply End Date: 06/23/2026

Software Engineer Manager, AI/ML Platforms

Sunwell America. Inc

Job DescriptionMust Have Technical/Functional Skills<ul><li>Deep Google GenAI Stack: Vertex AI (Pipelines, Endpoints, Vector Search), Gemini APIs, and Agentic architectures (Function Calling, Agent Development Kit, Agent Builder).</li><li>Core GCP Infra: Solid understanding of how ML model deployments interact with BigQuery, IAM, Cloud Storage, and VPCs.</li><li>High-Severity Leadership: Excellent interpersonal ability to manage P1/P2 crises and deliver technical root-cause analyses directly to enterprise customers and accelerate L1 L2 teams</li><li>Ideal: Systems &amp; Code Debugging skills, Strong Python coding/debugging skills, API troubleshooting, and distributed systems log analysis (Cloud Logging/Monitoring).</li></ul>Roles &amp; Responsibilities<ul><li>This role falls in the Tier 3 Support and plays as the bridge between our frontline representatives (who are already Associate Cloud Engineer certified) and Google Product Engineering.</li><li>Act as the ultimate technical escalation point for complex enterprise issues across Vertex AI, Gemini/Gemini Enterprise, and Vertex AI Agent Builder.</li><li>8+ years in Tier 3 Technical Support, SRE, and AI/ML Engineering.</li><li>Mandarin Fluency (Spoken &amp; Written) for direct engagement with enterprise customers and stakeholders.</li><li>Generic Managerial Skills, If any</li><li>Stakeholder management</li><li>Escalation handling</li><li>Cross-functional collaboration</li><li>Communication skills</li><li>Problem-solving</li><li>Ownership &amp; accountability</li></ul>Pay: $90,000.00 - $110,000.00 per yearBenefits:<ul><li>401(k)</li><li>Dental insurance</li></ul>Work Location: In person

GenAI Support Engineer / Google Cloud AI Specialist

Explore 148+ Cloud data engineer in Atlanta this July. Find roles across top companies and apply now to boost your career.