data analyst

data engineer

business analyst

data engineer ii

data scientist

data developer

Google

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; New York, NY, USA.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Master's degree in Statistics, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 
</li>
<li>3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>2 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. 
</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
You will be in a team that applies statistical and data science to understand Artificial Intelligence (AI) opportunities and the developer productivity at a scale as large as that of Google. As a Data Scientist on the Developer AI team, you will be at the vanguard of using advanced data science and machine learning to comprehend and address the most significant hurdles our software engineers face. You will have the rare chance to work with a vast and intricate dataset of developer activities. Your insights will directly influence the next wave of AI-enhanced tools for every developer at Google.The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.<div></div><div> 
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div></div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Collaborate with engineering teams to instrument and gather data, laying the groundwork for enhancing artificial intelligence (AI) products and developer productivity.</li>
<li>Perform analysis of developer processes and issues to pinpoint where AI-driven solutions can deliver impact.</li>
<li>Create and monitor performance indicators to measure the value and influence of our products on Google's developers.</li>
<li>Discover latent trends, forecast future requirements, and demonstrate the return on investment of our projects.</li>
<li>Present insights to leadership, guiding data-centric decisions that will define the future of developer tools at Google.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Research Data Scientist, Developer AI

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 position is full-time with the option of working on-site from our NYC headquarters. Jun Group will only consider candidates for this position who are currently legally authorized to work in the United States.

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 experience
<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>
Some company benefits include
<ul>
<li>Competitive salary</li>
<li>Health, dental, and vision insurance, plus mental health resources</li>
<li>401(k) match and generous PTO</li>
<li>Hybrid work environment (NYC office)</li>
<li>Free lunch for onsite team members in NYC</li>
<li>Volunteer Opportunities</li>
<li>Opportunities for professional development in a high-growth ad tech company</li>
</ul>
Greater NY-area Residents: We currently have a hybrid remote work policy. All Jun Group employees living within a 90-minute (one way) commute of our NYC office are expected to be in the office three days per week.

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

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

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
 
 
 Apply for this job
 
 
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 Uganda+256
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 Ukraine+380
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 United Arab Emirates+971
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 Vatican City+39
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 Venezuela+58
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 Western Sahara+212
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 Yemen+967
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 Zambia+260
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 Zimbabwe+263
 
 
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</div>

Data Engineer
Buenos Aires

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>

LS Power Development, LLC

<div>Overview:

About us:
Founded in 1990, LS Power is a premier development, investment, and operating company focused on the North American power and energy infrastructure sector, with leading platforms across generation, transmission and energy expansion solutions. Since inception, LS Power has developed or acquired 50,000 MW of power generation, including utility-scale solar, wind, hydro, battery energy storage, and natural gas-fired facilities. Through its transmission business, LS Power Grid, the company built and operates 780+ miles of high-voltage transmission and 7 transmission utilities and has another 375+ miles currently in construction or development. LS Power actively invests in and scales businesses that are meeting the growing needs of the energy expansion, including electric vehicle charging, demand response, microgrids, renewable fuels and waste-to-energy platforms. Over the years, LS Power has raised more than $76 billion in debt and equity capital to support North American infrastructure. 
Our Purpose, Mission, &amp; Values:
Our Purpose is to solve complex energy problems that improve the world
Our Mission is to make lives better by developing a cleaner and more reliable energy ecosystem
Our Values are the willingness to participate in and help strengthen our culture of integrity, Innovation, Teamwork, and Taking Ownership 
Our People create value and are our Most Valuable asset. We take our values of Integrity, Innovation, Teamwork and Taking Ownership seriously and ask candidates to think about how they can help us further enhance our culture with their specific skillsets, capabilities and experiences. 
Benefits
We provide our team the opportunity to share their unique perspectives, solve new challenges, and continue in their career growth. We are committed to supporting employees&rsquo; happiness, healthiness, and overall well-being by providing comprehensive benefits that include 100% employer paid premium healthcare, paid parental leave and more. 
Compensation
The salary for this role is $140,000-$160,000. This is the range that we in good faith anticipate relying on when setting wages for this position. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in New York. This salary range may also be modified in the future. 
About the Role:
This position is responsible for the design, maintenance, and reliability of the data infrastructure that supports our energy marketing and trading operation. You will the responsibility for the data layer behind a growing portfolio of internal business applications, ensuring that analysts, traders, and developers across the organization have timely access to clean, well-organized data. 
This is a hands-on, technical role embedded in a small, high-output software team. The ideal candidate is someone who thinks of data engineering not as an end in itself but as a means of solving real business problems. We value simplicity, clarity, and maintainability over architectural complexity.
Responsibilities:

What you will do:
<ul><li>Manage and extend a Microsoft Fabric environment including OLTP SQL Databases, lakehouses, warehouses, data pipelines, notebooks, and dataflows, ensuring reliable scheduled refreshes and data quality across workspaces.</li><li>
Support data flows that underpin internal trading, settlements, and reporting applications.</li><li>
Build and maintain data ingestion pipelines from a wide variety of sources: SFTP feeds, REST APIs, email attachments, flat files, and third-party energy market data vendors.</li><li>
Own the operational reliability of data infrastructure: monitor pipeline health, troubleshoot failures, manage credentials and permissions, and handle workspace administration including item ownership transfers.</li><li>
Develop applications that provide direct transparency into the underlying data that feeds complex analysis.</li><li>
Manage ML training and inference pipelines that influence trading and plant management decisions.</li><li>
Use master data management architectures alongside interactive applications to retain and reinforce critical business knowledge.</li></ul>
Qualifications:

We want you on our team because you&hellip;<ul><li>
Have 5+ years of hands-on experience in data engineering, database administration, or a related data-intensive role.</li><li>
Are proficient in SQL and have meaningful experience managing relational databases in production, whether SQL Server, PostgreSQL, or similar.</li><li>
Have worked with a modern cloud data platform such as Microsoft Fabric, Databricks, Snowflake, or Azure Synapse, and understand the patterns of lakehouse and warehouse architectures.</li><li>
Write Python comfortably for data pipeline development, automation, and scripting, and understand how to keep scripts clean, modular, and easy for others to maintain.</li><li>
Have built data ingestion from real-world messy sources: APIs with pagination and rate limits, SFTP servers, email inboxes, inconsistently formatted files.</li><li>
Believe that the best data infrastructure is the kind nobody has to think about because it just works, and you take pride in building systems that are boring in the best sense of the word.</li><li>
Are a strong communicator who can translate between technical implementation and business requirements without losing fidelity in either direction.</li><li>
Have a heavy bias to get to the end state through planning and action. Actions like performing the migration/refactor and dropping dead code and dead datasets.</li></ul>
 Ideally, you have...<ul><li>
Experience in the energy sector, particularly with energy marketing and trading data such as LMP pricing, SCADA, ISO market feeds, or commodity futures and derivatives.</li><li>
Familiarity with energy market data vendors such as Bloomberg, ICE, Platts, NRG Stream, Databento, or similar.</li><li>
Background in finance, gas, or commodities even if not specifically in power markets.</li><li>
A demonstrated habit of building tools, automations, or personal projects at high volume &mdash; we value people who are prolific builders and problem solvers, not just people who have worked on one large system.</li><li>
Active use of AI-assisted development tools and a thoughtful perspective on how to integrate them into a professional workflow responsibly.</li><li>
Personal experience hosting, fine-tuning, or managing language models, or involvement in a technically ambitious personal project involving AI infrastructure.</li><li>
An appreciation for software principles like KISS, DRY, and keeping complexity to a minimum &mdash; you would rather delete code than add it.</li></ul></div>

<div>Req ID: 370177
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 Junior / Intermediate Developer - HYBRID to join our team in New York, New York (US-NY), United States (US).<div>
Role Summary</div><div>
Lead hands-on technical onboarding and proof-of-concept integration of emerging AI development tools (e.g., Cursor, Factory AI) where no prior commercial agreements exist. Work on an iterative, pipeline-based cadence with priorities set by readiness, approvals, and business need.</div><div></div><div> 
Key Responsibilities</div><ul><li>
Drive technical onboarding of new AI developer tools lacking existing commercial agreements.</li><li>
Build proof-of-concept implementations and assess integration readiness against Morgan Stanley's developer platform.</li><li>
Partner with security, risk, and platform teams to evaluate controls and integration constraints.</li><li>
Document onboarding steps, integration patterns, and operational considerations for each tool.</li><li>
Collaborate with internal stakeholders on requirements, success criteria, and enablement needs.</li><li>
Support iterative expansion &ndash; onboard additional tools as they are prioritized during the engagement.</li></ul><div></div><div> 
Minimum Skills:</div><ul><li>
2+ years hands-on experience building or integrating with AI-assisted development tools.</li><li>
Proficient in at least one modern language (Python, TypeScript/Node.js, Go, or Java) and comfortable building CLIs, plugins, or integrations.</li><li>
2+ years experience standing up proof-of-concept environments (containers, cloud sandboxes, IDE extensions).</li></ul><div><ul><li>
2+ years understanding of Git-centric workflows, CI/CD, and developer tooling ecosystems.</li><li>
2+ years technical writing skills for integration documentation and runbooks.</li></ul></div><div></div><div> 
Preferred Skills:</div><ul><li>
Hands-on experience with LLM SDKs (Anthropic, OpenAI, Google) and agentic frameworks.</li><li>
Prior integration work with MCP servers, VS Code extensions, or JetBrains plugins.</li><li>
Familiarity with enterprise authentication (SSO, OAuth) and secrets management.</li><li>
Financial services experience.</li></ul><div></div><div> 
Education</div>
Bachelor's degree in Computer Science, Software Engineering, or related technical field (or equivalent professional experience)<div>
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&rsquo;s actual work location, relevant experience, technical skills, and other qualifications.</div><div></div><div> 
#LI-NorthAmerica</div><div>
INDHCLSMC</div> 
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 R&amp;D.
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&rsquo;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.</div>

AI Junior / Intermediate Developer - HYBRID

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