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database developer - oracle sql & plsql developer Jobs in New York

database developer oracle sql plsql developer

Capgemini

<div><div><div><p>New York</p><div>
Database Developer - Oracle SQL &amp; PLSQL developer</div><p>
</p></div></div><p></p><div><div><div><div><div><p>
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.</p><div><div><div><div>
Job Location - Smithfield RI (Day One Onsite - Hybrid)</div></div></div><div></div><div><div><div>
About The Role</div></div><div><ul><li>
We are looking for an associate with expertise and experience in designing and developing database solutions.</li><li>
The role involves continuous collaboration with partners iterative understanding of requirements following best practices methodologies thorough understanding of the technology roadmap advancement to design development process and providing support.</li><li>
The role also includes partner expectation management technical expertise around design and analysis and development process management</li></ul></div></div><div><div><div>
Key Responsibilities</div></div><div><ul><li>
Technical expertise in building our next generation Business Rules Platform</li><li>
Building quality solutions that align with the technology blueprint and best practices to solve business problems by driving design development and ongoing support</li><li>
Work with our global team and provide technical direction in building solutions</li><li>
Actively participating in knowledge sharing sessions code and design reviews etc</li></ul></div></div><div><div><div>
Required Skillset</div></div><div><ul><li>
7 years of experience as Oracle SQL and PLSQL developer</li><li>
Experience in Informatica development</li><li>
Have strong QA skills Acceptance test driven development</li><li>
Have strong skills in Snowflake and Python programming</li><li>
Working knowledge of Amazon Web Services AWS EC2 Lambda EMR S3</li><li>
Enjoy working on different technologies to solve business problems</li><li>
Adapt to changing requirements and priorities</li><li>
In depth Oracle 12c database and PLSQL knowledge</li><li>
Enjoy learning new technologies data analysis identifying data patterns and trends</li><li>
Can independently figure out technical challenges identify options and come up with innovative solutions</li><li>
Perform Analysis Design Estimation and Development of the database components</li><li>
Excellent communication skills to manage various stakeholders in US as well as in India</li></ul></div></div><div><div><div>
Preferred Skills</div></div><div><ul><li>
Experience in Snaplogic</li><li>
Experience in Agile methodologies or iterative development processes</li><li>
Interested in to take ownership</li></ul></div></div><div><div><div>
Life At Capgemini</div></div><div><p>
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
</p><ul><li>Flexible work
</li><li>Healthcare including dental, vision, mental health, and well-being programs</li><li>
Financial well-being programs such as 401(k) and Employee Share Ownership Plan</li><li>
Paid time off and paid holidays
</li><li>Paid parental leave</li><li>
Family building benefits like adoption assistance, surrogacy, and cryopreservation</li><li>
Social well-being benefits like subsidized back-up child/elder care and tutoring</li><li>
Mentoring, coaching and learning programs</li><li>
Employee Resource Groups
</li><li>Disaster Relief</li></ul></div></div><div><div><div>
Disclaimer</div></div><div><p>
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. 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.<br>
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 accommodations do not pose an undue hardship.<br>
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p></div></div><div><div><div><br>
Salary Transparency</div></div><div><p>
Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $80420 to $106050 /yearly.
<br>
This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.<br>
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company&rsquo;s sole discretion, consistent with the law.</p></div></div></div><p>
The base compensation range for this role in the posted location is:$80420 to $106050</p><p>
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.</p><p>
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.</p><p>
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.</p><p>
It is not typical for candidates to be hired at or near the top of the posted compensation range.</p><p>
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.</p><p>
</p><p>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:
</p><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><p>
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.</p><p>
</p><p>Disclaimers</p><p>
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.</p><p>
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.</p><p>
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.</p><p></p><p><br>
</p><p>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.</p><p>
</p></div></div><div><div><div><div><div>Ref. code</div><div>
436271-en_US</div></div><div><div>
Posted on</div><div>
12 Mar 2026</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
New York</div></div><div><div>
Business unit</div><div>
FS</div></div><div><div>
Brand</div><div>
Capgemini</div></div><div><div>
Professional communities</div><div>
Data &amp; AI</div></div></div></div></div></div></div></div></div><p></p>

Database Developer - Oracle SQL & PLSQL developer

ClientServer Technology Solutions LLC

<p>Role: .NET Full Stack Developer<br/>Experience: 10+ years<br/>Location: New York, USA<br/>Contract: W2 Only<br/>Job Description:</p><p>Minimum 10 Years&rsquo; Experience with applications built using: Angular 13+, .Net Core, Oracle 12c, and API.<br/>Minimum 10 Years&rsquo; Experience using the Agile Methodology and JIRA for project development and service delivery.<br/>Minimum 10 Years&rsquo; Experience creating data architecture diagrams used for database design and data migration.<br/>Minimum 10 Years&rsquo; Experience working in cross-functional teams.<br/>Minimum 10 Years&rsquo; Experience with working with DevOps tools like Octopus and Jenkins.<br/>Minimum 10 Years&rsquo; Experience developing and implementing processes for data transformations, and data management, creating data architecture diagrams used for database design and data migration.<br/>Minimum 4 years of experience Implementing cyber security scans using Veracode and address any identified security flaws.<br/>Excellent verbal and written communication skills.<br/>Experience working under an agile methodology using JIRA or Azure DevOps.</p><p>Job Types: Full-time, Contract</p><p>Pay: $55.00 - $60.00 per hour</p><p>Expected hours: 40 per week</p><p>Work Location: In person</p>

.NET Full Stack Developer

Realign

<div>Remote, New York 10048 Posted March 12th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Contract</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><div><b>Title: SailPoint Developer</b></div><div><b>
Location: Remote</b></div><div><b>
Contract</b></div><div></div><div><b><br>
Role Summary:</b><br>
Responsible for development, configuration, and support of SailPoint IdentityIQ/IdentityNow for enterprise IAM operations.</div><div><b>
Key Responsibilities:</b><br>
<ul><li>Develop and configure SailPoint components (LCM, certifications, roles).</li><li>Onboard applications, build connectors, and customize workflows/rules.</li><li>Integrate SailPoint with AD, LDAP, databases, cloud, and SaaS systems.</li><li>Troubleshoot provisioning, connectors, certifications, and lifecycle processes.</li><li>Support IAM operations, audits, compliance, and documentation.</li></ul></div><div><b>
Required Skills:</b><br>
<ul><li>3&ndash;7+ years IAM experience; 2&ndash;5 years SailPoint IIQ/IdentityNow.</li><li>Strong Java/Beanshell scripting and SQL skills.</li><li>Experience with REST/SOAP APIs and SailPoint connector frameworks.</li><li>Hands-on application onboarding and identity lifecycle management.</li></ul></div><div><b>
Preferred Skills:</b><br>
<ul><li>Knowledge of Okta, Ping, Azure AD, SSO/MFA, and cloud IAM.</li><li>Understanding of SOX, NIST, ISO standards.</li><li>SailPoint certification (nice to have).</li></ul></div><div><b>
Soft Skills:</b><br>
<ul><li>Strong communication, analytical thinking, problem solving, and teamwork.</li></ul></div><p></p>
<p>Required Skills</p>
<p>CLOUD DEVELOPER</p> <p>SQL APPLICATION DEVELOPER</p></div>

SailPoint Developer-6

Apple

<p>At Apple, great ideas quickly become phenomenal products, services, and customer experiences. Apple Pay has brought the Apple Wallet to millions of customers worldwide, enabling them to carry digital credentials such as credit and debit cards, transit passes, hotel and car keys, theme park tickets - and now, mobile driver&rsquo;s licences - all in their Apple Wallet. Building and scaling these features requires not just world-class engineering, but a deep understanding of how institutions around the world operate, implement standards, and protect user data and privacy.<br>
<br>
You'll have the opportunity to tackle the intricate challenge of building resilient and reliable distributed software systems at Apple's scale as a Developer Platform Engineer at the intersection between data platform and operational data components and microservices architecture. You will be given flexibility to explore creative solutions, the support of a talented and driven team, and access to diverse technologies. You will have the autonomy, and responsibility, to take full ownership of your solutions.<br>
<br>
<b>Description</b><br>
<br>
The role is a hands-on contributor to our internal developer platform. You will engineer solutions contributing to both tech stacks and bring the appropriate degree of convergence. You will navigate the layers between application, platform, cloud, and infrastructure engineering. This will be coding, architecture and operational work in a DevOps team.<br>
<br>
You'll join a nimble team involved in every stage of the platform-as-a-product and will design, build, test, deliver and maintain exceptional software that truly makes a difference. In this fast-paced environment, you'll be hands-on in all phases, and will actively shape the architecture and design of our platforms and offerings through the lived experience of operating, monitoring, and providing on-call support for the software you build.<br>
<br>
One key area of responsibility would be dev, prod operations, automation, and cross-functional efforts to facilitate adoption of the platform capabilities by the wider organisation and their use in production. Our solutions are shaped by deep understanding of the problems which will inform what we build in the platform.<br>
<br>
This role values deep technical expertise and its application in a simple, opinionated internal developer platform. The ultimate goal of our platform is two-fold: modernise the technical stack and the engineering culture in our organisation. The success metric is platform adoption and its continuous use inside Wallet, Payment Commerce, to continue shipping amazing Apple products.<br>
<br>
The use cases that rely on our work range from customer-facing to internal back office, near-real-time and batch, event-driven microservices and OLTP and OLAP workloads. The products we look after form an internal developer platform that favours simplicity and common solutions with a high degree of automation and composability.<br>
<br>
This role may require occasional international travel.&quot;,&quot;responsibilities&quot;:&quot;Work with our platform users to enable adoption and work tactically at the right level between all aspects of the platform or the services we leverage. We are here to enable others.<br>
<br>
Contribute to technical alignment between all functions offered by the platform. You will work a lot in the integration and complementarity of the services, aiming to converge the solutions space towards a simple, reusable and opinionated set.<br>
<br>
Have a particular focus on data services convergence: transactional, at rest and in transit. This will extend to the integration with analytical systems and cross-functional support (for example data compliance, data contracts)<br>
<br>
Be a product advocate for the platform itself: notice the opportunities between different solutions, assess whether a platform solution would bring value and work on the delivery of this. Our objective is to pursue a platform-as-a-product delivery.<br>
<br>
Provide hands-on, evidence-based and example-based decisions. Sometimes this means getting familiar with technologies you did not know before<br>
<br>
Steering high impact solution from initial inception to org-wide deployment<br>
<br>
Drive the platform itself and the culture to a model of modern engineering practices.<br>
<br>
Guide foundational and architectural design and delivery- including education, documentation and collaborative delivery. Our work must be approachable.<br>
<br>
As a key member of the team, you'll participate in technical discussions, write specifications, review code, and produce documentation. Success in this role therefore requires strong self-motivation, crisp and clear communication, a highly collaborative approach, and the ability to work effectively across teams and disciplines.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Practical experience with internal developer platform and commodity data engineering products with bonus points for working in the overlap between services and data.<br>
<br>
Demonstrable experience of working on a data mesh or an event mesh or similar architectures.<br>
<br>
Experience converging evolving diverse and varied architectures into unified opinionated solutions.<br>
<br>
Been an advocate for continuous delivery, DevOps and similar best practices and familiarity with CI/CD pipelines and infrastructure as code.<br>
<br>
Familiarity with our technical stack and its major components: AWS, Java, Kotlin, HTTP/REST, gRPC, container orchestration with Kubernetes and the management plane with Controller and Operators, Data Science tools like Iceberg, Spark, Flink, SQL/NoSQL databases (e.g. Aurora, DynamoDB, CockroachDB, Oracle).<br>
<br>
Time spent architecting, building, supporting or otherwise working on cloud-native (e.g. AWS) applications with resilience as a core feature.<br>
<br>
Experience with observability tools (e.g. Prometheus, Grafana, OpenTelemetry, Datadog).<br>
<br>
An appreciation for, and understanding of security, privacy, and cryptography.<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
A commitment to continuous learning and improvement, and curiosity for new technologies, techniques and patterns in pursuit of engineering excellence.<br>
<br>
A solid understanding of distributed systems fundamentals, particularly about the the trade-offs on data.<br>
<br>
An ability to communicate thoughtfully and clearly, both verbally and in writing, to discuss complex technical concepts with diverse audiences, including global teams and external partners.<br>
<br>
A track record of building and sustaining healthy long-term relationships within your team, and beyond its boundaries.<br>
<br>
The tenacity and perseverance to drive a complex project all the way from conception to production.<br>
<br>
4+ years of relevant industry experience as a software engineer and product-oriented architecture.<br>
<br>
No formal degree is required. What matters most is your mindset, your initiative, and your ability to apply your skills to real-world applications.<br>
<br>
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Senior Platform Software Engineer, Operational Data

<div>New York, New York 10001 Posted March 12th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><div>Role: Java Full Stack Developer/Architect</div><div>
Location: New York, NY / Irving, TX / Edison, NJ</div><div>
FTE</div><div></div><div><br>
Job Description</div><div>
Must Have Technical/Functional Skills</div><ul><li>Angular, React, NodeJS, Python, JavaScript</li><li>Familiarity with UI/UX Design and any database</li><li>Architect exp in designing the new applications/solutions</li></ul><div></div><div><br>
Roles &amp; Responsibilities</div><div></div><div><br>
1. Architecture Ownership and Vision</div><ul><li>Oversee the complete architecture across front end, back end, APIs, data, and integrations.</li><li>Define reference architectures, technology standards, and design principles.</li><li>Make long-term decisions balancing scalability, security, cost, and speed while anticipating future needs and designing for extensibility.</li></ul><div></div><div><br>
2. Deep Full-Stack Technical Expertise</div><ul><li>Front End: Possess a strong command of modern frameworks like React and Typescript. Design performance, accessible, and secure UI architectures with Material UI components, setting standards for complex state management, authentication flows, and UX consistency.</li><li>Back End: Architect scalable services using Node.js or Python, design REST and event-driven APIs, and apply microservices patterns, resiliency, and fault tolerance.</li><li>Data Layer: Model relational and NoSQL databases using MongoDB or Postgres, and design data access, caching strategies, and data consistency models.</li></ul><div></div><div><br>
3. Cloud, DevOps, and Platform Design</div><ul><li>Architect cloud-native solutions on AWS, Azure, or GCP.</li><li>Design CI/CD pipelines, infrastructure as code, and deployment strategies while building for high availability, disaster recovery, and cost optimization.</li><li>Embed observability, logging, and monitoring by design.</li></ul><div></div><div><br>
4. Security and Compliance by Design</div><ul><li>Apply secure coding and architecture principles.</li><li>Design authentication, authorization, and data protection models.</li><li>Ensure compliance with enterprise and regulatory standards.</li></ul><div></div><div><br>
5. AI Integration &amp; Next-Gen Technologies</div><ul><li>Proficient with AI coding assistants, knowledgeable in AI workflow automation and intelligent data processing, and experienced with real-time technologies and message queues.</li></ul><p>
Coordinate with teams, stakeholders to develop insightful dashboards and interactive tools</p><p></p>
<p>Required Skills</p>
<p>CLOUD DEVELOPER</p></div>

Java Full Stack Developer/Architect-6

Anthropic

<div>
 <strong>
  <strong>
   About Anthropic
   <br/>
   <br/>
  </strong>
 </strong>
 Anthropic&rsquo;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  About the role
  <br/>
  <br/>
 </strong>
 As part of our growing Data Science and Analytics team, you will play an instrumental role in our company&rsquo;s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You&rsquo;ve worked in cultures of excellence in the past, and are eager to apply that experience to help shape the cultural norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world.
 <br/>
 <br/>
 <strong>
  <strong>
   Core Responsibilities
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Define key metrics, build measurement frameworks, and maintain core reporting to evaluate success
  </li>
  <li>
   Deep dive into product and user data to derive actionable insights and size opportunities to improve products, strategy and operations, influencing roadmaps through insights and recommendations
  </li>
  <li>
   Develop hypotheses, apply rigorous causal inference methods &ndash; controlled experiments, synthetic controls &ndash; and analyze the results in order make actionable recommendations
  </li>
  <li>
   Investigate anomalies, conduct root cause analyses, and provide data-driven insights to guide priorities and inform decisions
  </li>
  <li>
   Build statistical models, optimization frameworks, and simulations to automate decision-making and operational processes
  </li>
  <li>
   Present complex analyses and recommendations to both technical and non-technical stakeholders
  </li>
  <li>
   Establish foundational data practices and help scale our analytics infrastructure to support rapid iteration and decision-making as our products grow
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   You May Be a Good Fit If You Have:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   5+ years of experience in data science or analytics roles
  </li>
  <li>
   Deep expertise with Python, SQL, and data visualization tools
  </li>
  <li>
   Expertise with experimental design, causal inference, statistical modeling, and A/B testing frameworks, particularly in high-scale technical environments
  </li>
  <li>
   Highly effective written communication and presentation skills
  </li>
  <li>
   A track record of translating complex data into clear, actionable insights for both technical and business stakeholders
  </li>
  <li>
   A bias for action and ability to thrive in ambiguous, fast-moving environments where you must create clarity and drive forward progress
  </li>
  <li>
   A passion for the company&rsquo;s mission of building helpful, honest, and harmless AI
  </li>
  <li>
   Some experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem
   <br/>
   <br/>
  </li>
 </ul>
 We&rsquo;re hiring across multiple pillars
 <br/>
 <br/>
 Applying for this role will allow you to be considered for all pillars currently hiring. You will be asked to select a preference when submitting an application.
 <br/>
 <br/>
 <strong>
  Platform Product Data Scientist
  <br/>
  <br/>
 </strong>
 You will partner closely with product, engineering, and go-to-market teams to understand how developers and enterprise customers build on and adopt the Claude Developer Platform&mdash;spanning our core API, agent orchestration, tool and MCP integrations, and knowledge management capabilities. You'll identify growth opportunities, surface insights about how AI agents are being built and deployed at scale, and drive data-informed decisions that shape our platform roadmap.
 <br/>
 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience working closely with Product or Engineering teams on API or developer-facing products, with demonstrated impact on product roadmap and strategy
  </li>
  <li>
   Experience supporting B2B sales teams with data insights
  </li>
  <li>
   Strong instincts for what drives product adoption, engagement, and retention
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Consumer Data Scientist
  <br/>
  <br/>
 </strong>
 You will be embedded with our Consumer product team. This team is responsible for building all consumer-facing Claude experiences&mdash;including web, mobile, desktop, and browser extensions. In this role, you'll shape how millions of users interact with Claude daily, driving product insights to product recommendations for interfaces that are intuitive, responsive, and push the boundaries of what AI-powered applications can be.
 <br/>
 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience working closely with Product and Engineering teams on consumer products across multiple platforms (web, iOS, Android, desktop, browser extensions)
  </li>
  <li>
   Demonstrated impact on product roadmap and strategy from data deep dives in consumer growth, engagement and retention
  </li>
  <li>
   Expert in experimentation, holding a high statistical bar for measuring the impact of core product changes
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Research Product Data Scientist
  <br/>
  <br/>
 </strong>
 You will work closely with product, engineering, and research leaders to bring data-driven rigor to every phase of model development and launch. Sitting at the true bleeding edge of putting frontier AI research into the public domain, you will leverage data from both external customers and internal testing to define and measure key company success metrics, and analyze user and model behavior to identify new opportunities to push the frontier.
 <br/>
 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience deeply embedding in Product or Research teams, preferably working with LLM or AI products
  </li>
  <li>
   Comfort working with unstructured data
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Enterprise &amp; Verticals Product Data Scientist
  <br/>
  <br/>
 </strong>
 You will be embedded with our Enterprise &amp; Verticals product team - this team is responsible for transforming the way businesses work, enabling enterprise users to know more, create more, and see more with Claude. You'll partner closely with product, engineering, design, sales, and customer success to understand enterprise customers and deliver data-driven insights to improve how Claude serves knowledge workers.
 <br/>
 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience evaluating new verticals and driving data insights to help the team find PMF for 0-&gt;1 bets
  </li>
  <li>
   Deep understanding over knowledge workers and experience partnering with product teams to build for the Enterprise
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Claude Code Enterprise Product Data Scientist
  <br/>
  <br/>
 </strong>
 You will be embedded with our Claude Code product team to drive data-informed decision making as we scale this revolutionary developer tool to meet the needs of Enterprise businesses. Working at the intersection of AI capabilities research and product development, you'll help us understand how developers interact with AI coding assistants, measure the impact of our tool on developer productivity, and identify opportunities to enhance the developer experience.
 <br/>
 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deep familiarity with software development workflows, developer tools, and engineering productivity metrics&mdash;ideally from working at developer-focused companies or on products targeting software engineers
  </li>
  <li>
   Experience analyzing human-AI interaction patterns, particularly in code generation or developer tooling contexts
  </li>
  <li>
   Experience supporting product teams building for the Enterprise
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Enterprise Marketing Data Scientist
  <br/>
  <br/>
 </strong>
 You will work closely with marketing, product, and commercial teams to define and measure key marketing success metrics, analyze customer acquisition and retention, and build a culture of developing and testing hypotheses through experimentation as we introduce Claude to Enterprise businesses.
 <br/>
 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience deeply embedding in Marketing teams, turning marketing data into concise and insightful analysis that drives business outcomes
  </li>
  <li>
   Familiarity with both B2C and B2B/Enterprise marketing analytics, and a holistic view of how different marketing programs support one another
  </li>
  <li>
   Experience working at multi-segment, multi-product B2B companies serving Enterprise customers
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Claude Code Marketing Data Scientist
  <br/>
  <br/>
 </strong>
 You will work closely with marketing, product, and commercial teams to define and measure key marketing success metrics, analyze customer acquisition and retention, and build a culture of developing and testing hypotheses through experimentation as we bring Claude Code to the world.
 <br/>
 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience deeply embedding in Marketing teams, turning marketing data into concise and insightful analysis that drives business outcomes
  </li>
  <li>
   Familiarity with both B2C and B2B/Enterprise marketing analytics, and a holistic view of how different marketing programs support one another
  </li>
  <li>
   Experience building, selling or marketing developer tools
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  GTM Data Scientist
  <br/>
  <br/>
 </strong>
 This role sits at the intersection of fast-moving sales operations and rigorous statistical analysis. You will work across multiple segments and products, partnering with analytics engineers, fellow data scientists, and go-to-market leadership to turn messy, high-stakes commercial data into actionable strategy. You will play a crucial role in driving data-informed decisions across the commercial customer lifecycle&mdash;from new logo acquisition through activation, expansion, and retention&mdash;for a rapidly scaling consumption-based AI platform.
 <br/>
 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A strong track record in multi-segment, multi-product B2B sales or commercial analytics, especially with consumption-based revenue models
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Infrastructure Data Scientist
  <br/>
  <br/>
 </strong>
 You'll be at the intersection of data science and infrastructure, using rigorous analysis to understand how platform performance impacts user behavior and identifying high-impact opportunities to improve our systems' reliability and responsiveness. You'll quantify user sensitivity to latency, reliability, errors, and refusal rates, then translate these insights into actionable recommendations that drive meaningful improvements to our platform infrastructure.
 <br/>
 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with distributed systems and performance engineering, ideally in ML infrastructure contexts (model serving, inference latency, large-scale system metrics)
  </li>
  <li>
   Familiarity with SRE practices, error budgets, SLOs/SLIs, observability tools, APM systems, and infrastructure monitoring platforms (e.g., Prometheus, Grafana, DataDog)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Developer Productivity Data Scientist
  <br/>
  <br/>
 </strong>
 This role sits at the intersection of data science, developer experience, and AI tooling &mdash; and offers the rare opportunity to study frontier AI usage from the inside, with the builders themselves as your users. You'll define how Anthropic understands and improves developer productivity &mdash; both through classic software engineering effectiveness measures and through the emerging challenge of understanding AI-augmented development workflows. You'll own the quantitative foundation for how Anthropic's engineers build: what slows them down, what accelerates them, where tooling investments pay off, and how AI-assisted development is changing the shape of engineering work. Your analyses will directly inform infrastructure priorities, tooling roadmaps, and how we think about scaling engineering output as Anthropic grows.
 <br/>
 <br/>
 <strong>
  Strong Candidates May Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Direct experience working with developer productivity, infrastructure, performance, or platform teams in hypergrowth environments
  </li>
  <li>
   Deep understanding of distributed systems, cloud infrastructure, and performance engineering, with experience analyzing large-scale system metrics
   <br/>
   <br/>
  </li>
 </ul>
 The annual compensation range for this role is listed below.
 <br/>
 <br/>
 For sales roles, the range provided is the role&rsquo;s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
 <br/>
 <br/>
 <strong>
  Annual Salary:
  <br/>
  <br/>
 </strong>
 $275,000&mdash;$370,000 USD
 <br/>
 <br/>
 <strong>
  Logistics
  <br/>
  <br/>
 </strong>
 <strong>
  Education requirements:
 </strong>
 We require at least a Bachelor's degree in a related field or equivalent experience.
 <br/>
 <br/>
 <strong>
  Location-based hybrid policy:
 </strong>
 Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
 <br/>
 <br/>
 <strong>
  Visa sponsorship:
 </strong>
 We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
 <br/>
 <br/>
 <strong>
  We encourage you to apply even if you do not believe you meet every single qualification.
 </strong>
 Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
 <br/>
 <br/>
 <strong>
  Your safety matters to us.
 </strong>
 To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links&mdash;visit anthropic.com/careers directly for confirmed position openings.
 <br/>
 <br/>
 <strong>
  <strong>
   How We're Different
   <br/>
   <br/>
  </strong>
 </strong>
 We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
 <br/>
 <br/>
 The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
 <br/>
 <br/>
 <strong>
  Come work with us!
  <br/>
  <br/>
 </strong>
 Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
 <strong>
  Guidance on Candidates' AI Usage:
 </strong>
 Learn about our policy for using AI in our application process
</div>


Data Scientist

DS Technologies Inc

<div><div><div><b>Job Title: Engineer II &ndash; Big Data / Apptio / ETL</b><br>
<b>Location: New York, NY (Onsite)</b><br>
<b>Position Type: Contract</b><br>
<b>Only W2</b><br>
</div><div><b>Job Description:</b></div>
<div>We are seeking a highly motivated <b>Engineer II (Big Data Engineer)</b> with strong technical expertise in <b>Apptio, Big Data, MS SQL, Oracle PL/SQL, Python, PySpark, and ETL/Data Warehousing</b>. The ideal candidate will support data engineering, analytics, reporting, and financial/IT cost transparency initiatives leveraging Apptio and enterprise data platforms.<br>
</div><div><b>Key Responsibilities:</b></div>
<ul><li>Develop and maintain <b>Big Data pipelines</b> using <b>PySpark, Python</b>, and other data engineering tools.</li>
<li>Work with <b>Apptio</b> for IT financial management, cost modeling, and reporting.</li>
<li>Perform <b>ETL development</b> for large-scale <b>Data Warehousing</b> and analytics systems.</li>
<li>Develop and optimize <b>MS SQL Server</b> objects (queries, stored procedures, SSIS packages, SSRS reports).</li>
<li>Write efficient <b>Oracle PL/SQL</b> code for RDBMS-based applications.</li>
<li>Analyze, transform, and process structured/unstructured data for reporting and insights.</li>
<li>Collaborate with business teams to gather requirements and deliver analytical solutions.</li>
<li>Troubleshoot data issues, improve data quality, and ensure system performance.</li>
<li>Document data flows, technical specs, and operational processes.</li>
</ul><div><b>Required Skills:</b></div>
<ul><li>Hands-on experience with <b>Apptio</b> (cost transparency, reporting, ITFM tools).</li>
<li>Strong knowledge of <b>Big Data technologies</b> (Hadoop, Spark, PySpark).</li>
<li>Proficiency in <b>MS SQL Server</b>, including <b>SSIS</b> and <b>SSRS</b>.</li>
<li>Strong SQL coding with <b>RDBMS</b> (MS SQL, Oracle).</li>
<li>Experience with <b>Oracle PL/SQL</b> programming.</li>
<li>Good command of <b>Python</b> for scripting and automation.</li>
<li>Strong understanding of <b>ETL processes</b> and <b>Data Warehousing</b> concepts.</li>
<li>Experience working in <b>Data Analytics</b> environments.</li>
</ul><div><b>Preferred Skills:</b></div>
<ul><li>Experience with cloud platforms (AWS, Azure, GCP).</li>
<li>Knowledge of visualization tools (Tableau, Power BI).</li>
<li>Familiarity with IT cost modeling and financial analytics.</li>
<li>Understanding of Agile methodologies and CI/CD workflows.</li></ul></div></div>

Engineer II – Big Data / Apptio / ETL

Explore 337+ Database developer oracle sql plsql developer in New York this March. Find roles across top companies and apply now to boost your career.