data analyst

data engineer

data engineer ii

data scientist

ai engineer

data engineering specialist

VERVE GROUP

<div>Verve For Advertisers is a technology company that empowers brands and agencies to connect moments of discovery and drive measurable outcomes across screens.

As part of Verve, we've unified the company's demand-side offering, bringing together the largest on-site search intent dataset outside of walled gardens, direct SDK integrations with top apps, alongside data partnerships with 3M+ websites and LLMs. Our technology captures both what consumers do and why they do it, delivering high-fidelity audiences, insights, and activation across premium omnichannel inventory.

We are looking for a Data Engineer to join our engineering team to help us manage our diverse and growing set of initiatives. This is a fully remote, 40-hour per week contract position with the opportunity to shape the future of advertising technology. This position is a contract role and can work remotely anywhere in the US or outside of the US. They should be willing and open to collaborate with our US based engineering team during their business hours.

Responsibilities include
<ul>
<li>Collaborate with our Product and Strategy teams to build customized reporting solutions for our clients</li>
<li>Integrate new internal data sources as well as third-party APIs to enhance our reporting capabilities</li>
<li>Streamline processes to allow for rapid prototyping to meet the reporting needs of new clients</li>
<li>Work with our Platform team to create monitoring which ensures data integrity</li>
<li>Experiment with new tech to find the right tool for the job</li>
<li>Use Kanban to manage multiple releases per week</li>
<li>Maintain high code quality through code reviews and automated tests</li>
</ul>
Here are a few indicators that you're the right person
<ul>
<li>You enjoy a fun, creative, and engaging working atmosphere free of brilliant jerks</li>
<li>You want to be part of a small team inside a large company with massive opportunity for growth</li>
<li>You enjoy collaboration with other teams including product, biz dev, and our in-house QA team</li>
<li>You eagerly dig into complex engineering problems</li>
</ul>
Preferred skills and experiences
<ul>
<li>2+ years of relevant work experience</li>
<li>You have built customer&ndash;facing dashboards and reports using data visualization tools like Holistics, Looker, or Tableau</li>
<li>You are comfortable writing SQL and manipulating large structured or unstructured datasets for analysis</li>
<li>You've designed schemas and optimized queries for a data warehouse like BigQuery or ClickHouse</li>
<li>You've built and maintained batch ETL/ELT jobs using an orchestration platform like Airflow, Temporal, or Dagster</li>
<li>Familiarity with Google Cloud or AWS big data products</li>
</ul>
Hourly Rate: $30-50/hour

We're open to allowing the right person to learn our industry on the job. We welcome diversity and non-traditional paths into all of our roles. We believe in hiring the right person as opposed to the right combination of keywords.

Communications regarding your application will only come from @jungroup.com or @verve.com email addresses.</div>

Data Engineer (Remote / Contract)

Data Engineer, Product Analytics

Capgemini

<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.
 
 
 
 Client Location: Charlotte, NC
 
 
 
 
 Job Description
 
 
 
 Total years of data engineering experience 5 to 7 years with relevant GCP experience of 1years
 
 
 Experience in Data Engineering ETL Pipelines Batch and Streaming along withSQL Python PySpark UnixLinux and Data Warehousing concepts
 
 
 Experience in GCP native services like BigQuery Composer GCS Dataflow etc
 
 
 Experience in Data Migration along with Data Quality and Data Governance
 
 
 Experience of working in an Agile Scrum KANBAN Environment
 
 
 Participate proactively in standup meetings scrum ceremonies grooming sessions team retrospectives and suggest improvements
 
 
 Articulate and facilitate conversations with business owners and delivery teams
 
 
 Detailed understanding of Continuous Integration and Continuous Deployment Test Automation and Deployments
 
 
 Document and prioritize data and pipeline defects working closely with defect management teams for resolution
 
 
 Status reporting Project Risk Issue Management Business stakeholder reviews approvals of deliverables
 
 
 The base compensation range for this role in the posted location is:$90000 - $96000
 
 
 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.
 
 
 
 Benefits
 
 
 
 
 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>
 <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.
 
 
 Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
 
 
 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>

Data Engineer

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Amazon Web Services (AWS) is a dynamic and rapidly growing business within Amazon and the leader in providing secure, reliable, scalable, and innovative services that help over a million businesses, governments, education, and not for profits across the globe scale and grow! AWS provides a wide set of scalable services to meet customer needs. 
 
At AWS, the Global Deal Strategy and Programs (GDSP) team drives cloud adoption and business growth through innovative pricing strategies. The organization comprises two specialized teams: Strategic Customer Engagements, which guide ** transformative deals with industry leaders, and Private Pricing Programs &amp; Experiences, which scales and optimizes pricing solutions across our diverse customer base. Within GDSP, you will develop deep expertise in cloud economics, hone your strategic thinking, and directly impact AWS's market leadership while working with latest technologies and global clients. 
 
The AWS Global Deal Strategy and Programs (GDSP) organization is responsible for the Private Pricing Program. The Private Pricing Analytics and Insights (PPA&amp;I) team owns building scalable analytical solutions that enable the GDSP organization with actionable insights to make data-driven decisions. This role will focus on Data Engineering, and Analytics related to the Private Pricing Program, requiring deep technical skills, strong business acumen and a deep analytical background to provide actionable data-driven insights and decision support. 
 
As a Data Engineer on this team, you will drive efficiency in data handling processes, setup product analytics, drive advanced analysis and build new metrics which are key inputs to improve the health, scale and growth of the Private Pricing Program. You will work collaboratively with the business leaders operations, and engineering teams on many non-standard and unique business problems and support business initiatives by collecting required and related data from external/internal sources. 
 
The ideal candidate should have strong communication skills and ability to prioritize effectively to ensure timelines are met. You will own projects from engaging with customers to production and delivery of a suite of tools used by the organization to make key business decisions. You should be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail). You think in terms of architecture, not just code. You proactively work to improve the consistency and integration between your team&rsquo;s BI solutions and any related systems or artifacts. 
 
Key job responsibilities 
Design, develop, and maintain scalable data solutions for metrics, reports, analyses, and dashboards that support analytical and business needs 
 
Collaborate with technology teams to extract, transform, and load data from diverse sources using AWS services and internal tools 
Build and deliver high-quality datasets that support data science initiatives and customer reporting requirements 
 
Automate and optimize reporting processes to enable self-service analytics for stakeholders 
Translate business problem statements into technical analysis requirements 
 
Apply analytical and statistical rigor to answer business questions and drive data-driven decisions 
Develop measurement frameworks that quantify customer experience and drive business outcomes 
 
Create queries and visualizations for ad-hoc requests, projects, and ongoing reporting needs 
Write efficient, optimized queries with deep knowledge of data structures and query optimization techniques 
 
Adopt best practices in reporting and analysis including data integrity, design, validation, and documentation 
 
Troubleshoot operational data quality issues and audit existing data pipelines and queries 
 
Recommend improvements to back-end data sources for increased accuracy and simplicity<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of data engineering experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience</li><li>Experience with data modeling, warehousing and building ETL pipelines</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li>Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 145,300.00 - 196,600.00 USD annually 
USA, TX, Austin - 132,100.00 - 178,800.00 USD annually 
USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually</div>

Data Engineer, AWS GDSP A&I

4C Insights (part of Innovid by Mediaocean)

<div>
 Back to jobs
 
 
 Data Engineer
 
 
 Buenos Aires
 
 
 
 Innovid is the leading independent omnichannel ad tech platform, empowering marketers to create, deliver, measure, and optimize ad-supported experiences that people love. In 2025, Innovid and Flashtalking merged to create a transparent, scalable alternative to big-tech, walled-gardens, and point solutions across CTV, digital, linear, and social channels. As part of Mediaocean, Innovid is tied into the industry&rsquo;s core ad infrastructure for omnichannel planning, buying, and billing.
 
 
 
 
 &zwj;
 
 
 
 
 We are proud to lead the industry with our innovation, intelligence, and independence as the company best-suited to power the future of advertising.
 
 
 
 We're looking for a top-notch, passionate Data Engineer in Argentina with an interest in translating business goals into concrete solutions. The
 
 Data Engineer
 
 provides technology solutions by architecting and developing enterprise systems using a variety of programming languages, tools, and platforms. This can range from building data platforms, data warehouses and web applications, to implementing reporting platforms.
 
 
 
 The Impact You'll Make
 
 
 
 <ul>
 <li>
 Design, develop and maintain complex data pipelines and systems to process large volumes of data
 </li>
 <li>
 Collaborate with cross-functional teams to gather requirements, identify data sources, and ensure data quality
 </li>
 <li>
 Architect data solutions that are scalable, reliable, and secure, and meet business requirements
 </li>
 <li>
 Develop and maintain data models, ETL processes, and data integration strategies
 </li>
 <li>
 Design and implement data governance policies and procedures to ensure data accuracy, consistency, and security
 </li>
 <li>
 Create visualizations and reports to communicate insights to stakeholders across multiple data streams
 </li>
 <li>
 Collaborate as part of a team to drive analyses and insights that lead to more informed decisions and improved business performance
 </li>
 <li>
 Work with other teams to ensure teamwork and timely delivery of client projects
 
 
 </li>
 </ul>
 
 What You'll Bring To Us
 
 
 
 <ul>
 <li>
 +2 years of experience in a Data Engineering capacity
 </li>
 <li>
 Strong experience with SQL
 </li>
 <li>
 Experience designing, building, and maintaining ETL/ELT pipelines.
 </li>
 <li>
 Hands-on expertise with Apache Spark - is highly valued
 </li>
 <li>
 Experience working with dbt for data transformation, modeling and testing - is highly valued
 </li>
 <li>
 Experience working in the cloud environments (AWS, Azure, GCP)
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, Engineering, or a related discipline
 </li>
 <li>
 Advanced English (speaking, reading, writing, and listening)
 
 
 </li>
 </ul>
 
 Nice To Have
 
 
 
 <ul>
 <li>
 Understanding of Apache Iceberg or modern data lake technologies
 </li>
 <li>
 Experience with batch processing at scale
 </li>
 <li>
 Experience with any of Snowflake, Databricks, Redshift or BigQuery
 </li>
 <li>
 Workflow orchestration tools (Argo Workflows, Airflow, Dagster, or similar)
 </li>
 <li>
 Testing and data quality frameworks
 
 
 </li>
 </ul>
 
 What We'll Offer You
 
 
 
 <ul>
 <li>
 Unlimited Vacations
 </li>
 <li>
 Monthly Inflation updates
 </li>
 <li>
 Lunch Credit
 </li>
 <li>
 OSDE 410 as medical insurance
 </li>
 <li>
 English lessons
 </li>
 <li>
 Gym coverage
 </li>
 <li>
 Internet coverage
 </li>
 <li>
 1 extra paid month for primary &amp; secondary birthing caregivers
 </li>
 <li>
 Learning &amp; Development - Tools and Training
 </li>
 <li>
 Hybrid &amp; flexible working model - nice offices in Parque Chas with endless snacks &amp; beverages
 </li>
 <li>
 Pet friendly office
 </li>
 <li>
 High visibility roles with a tremendous amount of growth potential
 </li>
 <li>
 Global team and cross-company collaboration unlike anywhere else
 
 
 </li>
 </ul>
 There is no such thing as the perfect resume, or someone that checks every box. At Innovid, we are generous with our time and knowledge, and always ready to teach. So however you identify and whatever background you bring with you, please apply if this is a role that would make you excited to come into work every day and add to Innovid.
 
 
 Equal Opportunity Employer: Innovid is an equal opportunity employer, committed to our diversity and inclusiveness. We consider all qualified applicants regardless of race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply. We are actively working to be an anti-racist organization. We're committing to creating an inclusive and equitable workplace for all of our employees. You can read more about our commitment to DEI here.
 
 
 If you are located within the EEA and subject to GDPR or are a California resident subject to the California Consumer Privacy Act, click here to understand how Innovid processes your personal information and how you can exercise your rights.
 
 
 Create a Job Alert
 
 
 Interested in building your career at Innovid? Get future opportunities sent straight to your email.
 
 
 Create alert
 
 
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</div>

Data Engineer
Buenos Aires

BDIPlus

<div><h2 class="jobSectionHeader">Overview</h2>
BDIPlus is seeking a Senior Data Engineer to support a Fortune 100 financial services client&rsquo;s real-time intelligence initiatives.
In this role, You&rsquo;ll work in a virtualization-first architecture using Denodo, building both virtual and physical data products that are governed, high-quality, and AI-ready.
You will play a critical role in establishing trusted, reusable data assets&mdash;each backed by formal data contracts, quality controls, and full lineage.<h2 class="jobSectionHeader">
What You&rsquo;ll Do</h2><ul><li>
Build governed virtual data models in Denodo, including cross-system joins, canonical schemas, ABAC policies, and column-level masking</li><li>
Configure and optimize semantic layer connectivity (JDBC/ODBC, connection pooling, failover)</li><li>
Implement data quality rules (completeness, validity, uniqueness, anomaly detection, scoring)</li><li>
Configure data catalog, lineage, and marketplace publishing</li><li>
Build physical data products:</li><li><ul><li>
Source extraction (mainframe, CDC, COBOL copybooks)</li><li>
ETL/ELT pipelines using Informatica IDMC or dbt</li><li>
Data Lakehouse storage using Apache Iceberg on AWS S3</li></ul></li><li>
Define and implement machine-readable data contracts (YAML/JSON), including schema guarantees, SLAs, and dependency tracking</li><li>
Develop APIs, SLA monitoring dashboards, reconciliation processes, and production-grade delivery patterns</li><li>
Partner with client teams through demos, rotations, and structured knowledge transfer</li><li>
Leverage AI-assisted development (Claude Code) to accelerate delivery and improve productivity</li></ul><h2 class="jobSectionHeader">
Required Qualifications</h2><ul><li>
5+ years of data engineering experience in enterprise-scale environments</li><li>
Strong expertise with Denodo (VQL development, query optimization, caching, governance)</li><li>
Experience with Apache Iceberg on AWS (S3, Glue, Athena), including schema evolution and partitioning</li><li>
Hands-on experience with Informatica</li><li>
Experience implementing data quality frameworks</li><li>
Strong SQL and programming skills (Python, Spark; dbt preferred)</li><li>
Experience with CDC technologies (e.g., Debezium, Informatica CDC, or equivalent)</li><li>
Familiarity with API development (FastAPI, Node.js) and OpenAPI standards</li><li>
Experience working with AI-assisted development tools (Claude Code preferred; training available)</li></ul><h2 class="jobSectionHeader">
Preferred Qualifications</h2><ul><li>
Experience with mainframe data environments (COBOL copybooks, VSAM, AIX/AS400 extraction)</li><li>
Financial services or insurance domain experience</li><li>
Familiarity with multi-tier data certification frameworks (e.g., Bronze/Silver/Gold or Foundation/Production/Enterprise)</li><li>
Experience with API gateways and AI integration patterns (e.g., Kong Gateway, APIGEE, MCP)</li><li>
Experience designing and enforcing formal data contracts and dependency management</li><li>
Consulting or client-facing experience with structured knowledge transfer</li><li>
AWS certifications (Solutions Architect, Data Analytics) are a plus</li></ul><h2 class="jobSectionHeader">
About BDIPlus</h2>
BDIPlus is a data and AI consulting firm with deep experience delivering for Fortune 500 clients, including American Express and Morgan Stanley. We specialize in enterprise data products, identity resolution, semantic layers, and event-driven architecture.
Our engineers are AI-native, leveraging tools like Claude Code from day one to deliver faster, higher-quality solutions than traditional consulting teams.
BDIPlus is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.</div>

Senior Data Engineer

NTT DATA

Req ID: 370261
 
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
 
We are currently seeking a AI Solutions Engineer - HYBRID to join our team in New York, New York (US-NY), United States (US).
 
Improve the end-to-end developer experience of AI development tools. Identify friction points, drive workflow improvements, and raise adoption by making AI tooling faster, clearer, and more reliable for developers in their daily work.
 
Day to Day Responsibilities: 
<ul>
<li>Partner with developers across teams to identify friction points with current AI tools and workflows.</li>
<li>Design and implement UX and workflow improvements (commands, shortcuts, templates, defaults, onboarding flows).</li>
<li>Enable and improve context engineering practices for existing AI-assisted development tools in collaboration with the Context Engineering Specialist.</li>
<li>Instrument usage and feedback to quantify impact of improvements.</li>
<li>Produce guidance, examples, and enablement content to help teams adopt improved patterns.</li>
<li>Contribute to knowledge transfer and handover to steady-state teams.</li>
</ul>
Minimum Skills: 
<ul>
<li>4+ years experience, including recent hands-on use of AI-assisted development tools.</li>
<li>4+ years experience shipping developer-facing improvements (internal tools, SDKs, CLIs, IDE extensions, or platform workflows).</li>
<li>4 Years of coding in Python and/or TypeScript; comfortable touching shared code and context repositories.</li>
</ul>
•
 
Preferred Skills: 
<ul>
<li>Background in DevEx, platform engineering, or internal developer platforms.</li>
<li>Experience authoring or improving LLM prompts, skills, or plugins in production.</li>
<li>Familiarity with developer telemetry / observability (usage analytics, A/B testing of dev tools).</li>
<li>Financial services experience.</li>
</ul>
User-centric mindset with experience gathering developer feedback and measuring adoption.
 <ul>
<li>Excellent written and verbal communication.</li>
<li>On-site at Alpharetta, GA or New York City, NY</li>
</ul>
Education
 Bachelor's degree in Computer Science, Software Engineering, or related technical field (or equivalent professional experience).
 
#LI-NorthAmerica
 
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $104,904 - $218,550. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications.
 
About NTT DATA
 
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in RD.
 
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
 
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

AI Solutions Engineer - HYBRID

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