data engineer

software engineer

advanced software engineer - peoplesoft Jobs in New York

advanced software engineer - peoplesoft

ai architect hybrid

ai enablement analyst

advanced quality engineer

Shields Group Search

<div>
 
 
 Data Engineer
 
 
 
 
 Hybrid in NYC
 
 
 
 
 Full-Time
 
 
 
 
 $175,000-$225,000 base + upside depending on experience
 
 
 
 
 
 
 
 About the Company
 
 
 
 Shields Group Search is partnering with an innovative private banking and wealth infrastructure company building modern tools for modern clients. Their platform is designed to help private investors access liquidity more easily while driving transparency into historically opaque markets, including fine art and commercial real estate.
 
 
 
 
 
 They are hiring a
 
 Data Engineer
 
 to help build a world-class data infrastructure that supports the modernization of private banking for independent wealth managers and family offices. This person will be responsible for designing, building, and maintaining robust data pipelines, ETL processes, and data warehousing solutions that enable analytics and drive insights across the platform.
 
 
 
 
 
 You will work closely with engineering and product teams to architect scalable, reliable data systems. The stack includes
 
 Python, SQL, cloud data warehousing platforms, and modern data engineering tooling
 
 .
 
 
 
 
 
 
 About the Role
 
 
 
 This position reports directly to the
 
 Head of Engineering
 
 . The ideal candidate will have meaningful educational and/or professional experience designing and implementing scalable data systems, building ETL pipelines, and writing clean, maintainable, well-tested code.
 
 
 
 
 
 This team is looking for someone who is genuinely excited to spend most of their day coding and building scalable systems, while also contributing architectural input. They would strongly prefer someone in
 
 NYC
 
 , and
 
 2-3 days per week in-office
 
 should be expected. They also want someone who is comfortable building with and using
 
 agentic systems
 
 . This is not the right fit for someone optimizing primarily for work/life balance.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Participate in the full software development life cycle from planning to deployment
 </li>
 <li>
 Design and build scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources
 </li>
 <li>
 Collaborate with the team to design, develop, unit test, and support new features
 </li>
 <li>
 Strive for high quality and rapid output through agile software development best practices
 </li>
 <li>
 Architect data warehouses and data lakes, optimizing for query performance and cost efficiency
 </li>
 <li>
 Perform code reviews and provide constructive feedback to peers
 </li>
 <li>
 Maintain and improve the tech stack
 </li>
 <li>
 Develop flexible and well-structured data pipelines and data warehouse schemas
 </li>
 <li>
 Implement effective security protocols, data protection measures, and storage solutions
 </li>
 <li>
 Troubleshoot, debug, and upgrade software
 </li>
 <li>
 Ensure software meets all requirements of quality, security, and configurability
 </li>
 <li>
 Contribute to documentation, tests, and automation pipelines
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field
 </li>
 <li>
 Minimum of 3 years of experience in data engineering, ETL development, or analytics engineering, ideally within fintech or financial services
 </li>
 <li>
 Advanced proficiency in Python and SQL for data pipeline development and analysis
 </li>
 <li>
 Familiarity with CI/CD tools
 </li>
 <li>
 Experience with data warehousing platforms such as Snowflake, BigQuery, Redshift, or similar, as well as modern ETL tools
 </li>
 <li>
 Strong knowledge of the software development lifecycle
 </li>
 <li>
 Experience with testing and debugging
 </li>
 <li>
 Proficient understanding of code versioning tools such as Git
 </li>
 <li>
 Excellent problem-solving skills and attention to detail
 </li>
 <li>
 Excellent communication and teamwork skills
 </li>
 <li>
 Ability to work independently and take initiative
 </li>
 <li>
 Willingness and ability to build with agentic systems in a practical, hands-on way
 </li>
 </ul>
 
 
 
 
 
 Why This Role
 
 
 
 This is an opportunity to help architect a state-of-the-art platform and partner with an experienced leadership team during a period of rapid development. The team has additional flexibility on compensation for stronger candidates, with total base salary landing closer to
 
 $200,000-$225,000
 
 for candidates with more experience.
 
</div>

Data Engineer

Data Engineer, Product Analytics

Metropolitan Transportation Authority

<div>Description 
 
 
JOB TITLE: Advanced Software Engineer
SALARY RANGE: $140,828 - $166,223
HAY POINTS: 634
DEPT/DIV: Information Technology
SUPERVISOR: Product Manager, PS Finance
LOCATION: 2 Broadway, New York, NY 10004
HOURS OF WORK: 9:00 am - 5:30 pm (7.5 hours/day) or as required) 
This position is eligible for telework, which is currently two days per week. New hires are eligible to apply 30 days after their effective date of hire. 
The Metropolitan Transportation Authority is North America's largest transportation network, serving a population of 15.3 million people across a 5,000-square-mile travel area surrounding New York City, Long Island, southeastern New York State, and Connecticut. The MTA network comprises the nation&rsquo;s largest bus fleet and more subway and commuter rail cars than all other U.S. transit systems combined. MTA strives to provide a safe and reliable commute, excellent customer service, and rewarding opportunities. 
Summary:
Leads requirements management, software engineering, system testing, and acceptance testing activities across all stages and iterations for complex software development and integration initiatives. Assists with the organization's selection, adaptation, and adoption of new models, methods, and tools. Collaborates across parties involved in product, systems, or service design. May own high-value services and/or products. 
Critical Skills:
<ul><li>Strong experience in PeopleSoft PeopleTools (PeopleCode, Application Engine)</li><li>
Familiar with SQL, PS Query, SQR, and XML Publisher</li><li>
Experience with the end-to-end lifecycle of PeopleSoft FSCM</li><li>
Implementation and/or upgrade experience with high-level production support experience</li><li>
Strong functional knowledge in PeopleSoft financial modules (AP, AR, FA, PC, GL, Treasury)</li></ul> 
Responsibilities: 
<ul><li>
Leads requirements management, software engineering, system testing, and acceptance testing activities across all stages and iterations for complex software development and integration initiatives. Assists with the organization's selection, adaptation, and adoption of new models, methods, and tools. Collaborates across parties involved in product, systems, or service design.
</li><li>May own high-value services and/or products. Leads the definition, documentation, and successful
</li></ul>Completion of large projects within business objectives and resource constraints, ensuring adherence to agreed enterprise architectures, and the application of effective change-release, risk, and quality management processes.<ul><li>
Drafts and maintains software support processes and documentation. Prioritizes and diagnoses incidents, investigates and resolves complex issues, leads root cause analysis, and proposes corrective actions. Conducts application licensing, security, backup, and disaster recovery verification initiatives.
</li><li>Develops system and acceptance testing criteria related to functional and non-functional requirements, user stories, features, business processes, and business rules. Designs, specifies, and executes test cases and scenarios.
 </li><li>Plans and leads user experience design activities for large programs and products, providing expert advice to ensure that usability, accessibility, and visual design requirements are satisfied.
</li><li>Develops, maintains, and applies tools and documentation to track, log, and maintain accurate and complete system information. Audits complex software systems for adherence to configuration standards.
</li><li>Plans, organizes, conducts, and oversees assigned quality and safety assurance assessments involving complex systems and cross-functional teams. Provides expert advice on assurance activities.
</li><li>Manages the operational relationships with suppliers to ensure potential disputes or conflicts are raised and resolved. Contributes technical elements of RFP/RFIs and negotiates contract terms and SLAs. Manages suppliers to meet key performance indicators.
</li><li>Continuously develops and maintains personal knowledge of software engineering practices, emerging trends, and technologies.
</li><li>Provides technical advice to project teams and mentors less experienced staff to foster talent
</li></ul>development.
<ul><li>Performs other duties and tasks
</li><li>May need to work outside of normal work hours, supporting operations on a 24/7 basis
</li><li>Travel may be required to other MTA locations or other external sites
</li><li>Observing the work performed by the contractor;
</li><li>Reviewing invoices and approving them if the work meets contractual standards;
</li><li>Addressing performance issues with the contractor when possible; and
</li><li>Escalating issues to other parties as needed.</li></ul>
Required Qualifications:<ul><li>
Education: Bachelor&rsquo;s Degree and a minimum of 8 years of relevant experience. An equivalent combination of education and experience may be considered in lieu of a degree.</li><li>
Must possess a minimum at least one of the following professional certifications in the subject domain, including but not limited to: Certified Scrum Developer (CSD), Certified Scrum Master (CSM), Certified Software Development Professional (CSDP), Certified Secure Software Lifecycle Professional (CSSLP), Amazon Certified: AWS Certified Developer, Microsoft Certified: Azure Developer, Certified Software Test Professional (CSTP)</li></ul>
Knowledge &amp; Skills:
Technical Skills:
<ul><li>Hands-on programming experience in a business setting</li><li>
Proficiency in at least one software engineering methodology, including but not limited to: Waterfall, Agile, Scrum, DevOps, Extreme Programming (XP), Kanban, Lean, Rapid Application Development (RAD)
</li><li>Experience applying a structured validation and testing method, including but not limited to: Unit Testing, Integration Testing, System Testing, Acceptance Testing, Regression Testing
</li><li>Collaboration skills to ensure design specifications are seamlessly implemented by the development team
</li><li>Familiarity with version control
</li><li>Demonstrated ability to work independently and navigate organizational ambiguity
</li><li>Effective written and verbal communication skills
</li></ul>Preferred Technical Skills:<ul><li>
A software engineering industry certification, examples: Certified Scrum Developer (CSD), Certified Scrum Master (CSM), Certified Software Development Professional (CSDP), Certified Secure Software Lifecycle Professional (CSSLP), Amazon Certified: AWS Certified Developer, Microsoft Certified: Azure Developer, Certified Software Test Professional (CSTP)
</li><li>Programming experience with the following language(s): Job Specific (e.g, Ruby, Python, Java, C++, COBOL, etc.)
</li><li>Familiarity with the following vendor-specific platforms: Job Specific (e.g, Azure, Windows Server platforms, RESTful APIs, or Linux)</li></ul>
 Behavioral Requirements Skills:
<ul><li>Collaboration skills to ensure design specifications are seamlessly implemented by the development team.
</li><li>Demonstrate ability to work independently and navigate organizational ambiguity.
</li><li>Strong interpersonal, verbal, and written communication skills.
</li><li>Expert Communicates Effectively
</li><li>Advanced in technical Skills, tech savvy, values diversity</li><li>
Adept customer focus cultivates Innovation</li></ul> 
Competencies:
<div><div>Core Competency 
Proficiency Level 
Competency Definition</div><div> 
Cultivates Innovation 
Adept 
Creating new and better ways for the organization to be successful</div><div> 
Customer Focus 
Adept 
Building strong customer relationships and delivering customer-centric solutions</div><div> 
Communicates Effectively 
Expert 
Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</div><div> 
Tech Savvy 
Advanced 
Anticipating and adopting innovations in business-building digital and technology applications</div><div> 
Technical Skills 
Advanced 
Specialized knowledge and expertise on tools, programs, domains, platforms, and products used for specific tasks</div><div> 
Values Diversity 
Advanced 
Recognizing the value that different perspectives and cultures bring to an organization</div></div> 
 OTHER INFORMATION:
Pursuant to the New York State Public Officers Law &amp; the MTA Code of Ethics, all employees who hold a policymaking position must file an Annual Statement of Financial Disclosure (FDS) with the NYS Commission on Ethics and Lobbying in Government (the &ldquo;Commission&rdquo;).
Equal Employment Opportunity
MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including with respect to veteran status and individuals with disabilities.
The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply.</div>

Advanced Software Engineer - PeopleSoft

Prolific

<div>
 
 AI Trainer &ndash; Machine Learning Specialists
 
 
 
 
 About Prolific
 
 
 
 Prolific is not just another player in the AI space &ndash; we are building the biggest pool of quality human data in the world.
 
 
 Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
 
 
 
 The role
 
 
 
 We&rsquo;re looking for
 
 AI Trainer &ndash; Machine Learning Specialists
 
 to help train and evaluate cutting-edge AI models using real ML expertise. If you have the necessary experience, we&rsquo;ll send you a quick
 
 10- to 15-minute test
 
 to assess your skills and suitability for AI tasks. If successful, you&rsquo;ll be invited to join Prolific as a participant, where you&rsquo;ll get paid to train and evaluate powerful AI models.
 
 
 Researchers looking for your skills tend to pay up to
 
 $150/hr per AI task completed
 
 . You must be prepared to complete paid tasks that require
 
 one hour of uninterrupted work
 
 , though many are shorter.
 
 
 What you&rsquo;ll bring
 
 
 <ul>
 <li>
 AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer)
 </li>
 <li>
 A willingness to take our skills verification test to assess your suitability for our participant pool
 </li>
 <li>
 Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time
 </li>
 <li>
 A reliable and fast internet connection and access to a computer
 </li>
 <li>
 A willingness to self-declare your earnings, as our participants are self-employed
 </li>
 <li>
 A Paypal account to receive payment from our clients
 
 
 </li>
 </ul>
 
 What you&rsquo;ll be doing in the role
 
 
 
 <ul>
 <li>
 Completing AI training tasks such as analyzing, editing, and writing annotations (including technical reasoning and structured evaluation)
 </li>
 <li>
 Judging the performance of AI in performing ML-relevant tasks (e.g., model/experiment critique, data leakage detection, metrics interpretation, debugging approach, methodology review)
 </li>
 <li>
 Improving cutting-edge AI models by providing expert feedback on correctness, robustness, clarity, and technical depth
 
 
 </li>
 </ul>
 
 Key Technologies
 
 
 
 <ul>
 <li>
 General AI Training
 </li>
 <li>
 Model Evaluation and Evals
 </li>
 <li>
 Trust and Safety
 </li>
 <li>
 Red Teaming
 </li>
 <li>
 Quality Analytics
 </li>
 <li>
 Data/ML Concepts (e.g., supervised learning, deep learning, NLP, CV, statistics, experimentation)
 
 
 </li>
 </ul>
 
 Why Prolific is a great platform to join as a Participant
 
 
 
 Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional machine learning expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.
 
 
 We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.
 
 
 We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation &ndash; one that reflects the breath and the best of humanity.
 
 
 
 Links to more information on Prolific
 
 
 
 Website
 
 
 Youtube
 
 
 Privacy Statement
 
 
 By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.
</div>

AI Training - Machine Learning Specialist (EST)

Paramount

<div>
 
 #WeAreParamount on a mission to unleash the power of content&hellip; you in?
 
 
 
 We&rsquo;ve got the brands, we&rsquo;ve got the stars, we&rsquo;ve got the power to achieve our mission to entertain the planet &ndash; now all we&rsquo;re missing is&hellip; YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter &ndash; both for our audiences and our employees &ndash; and aim to leave a positive mark on culture.
 
 
 
 Job Title
 
 : Software Engineer - AI Tooling &amp; Quality Engineering Platforms
 
 
 
 Team
 
 : Global Quality Engineering (GQE)
 
 
 
 Location
 
 : New York City, Los Angeles, San Francisco
 
 
 
 Overview
 
 
 
 Paramount Skydance Corp is seeking a Software Engineer to build AI‑powered tools, backend services, and internal platforms that support the Global Quality Engineering organization.
 
 This is not an &ldquo;in test&rdquo; role
 
 &mdash; you will be developing production‑grade software that accelerates test creation, triage, analysis, and automation workflows across GQE. You will contribute to intelligent systems that improve engineering efficiency and modernize how quality engineering is performed at scale.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Build backend services, CLIs, and internal tools that integrate AI capabilities into GQE workflows.
 </li>
 <li>
 Implement features for AI‑assisted test generation, log summarization, and defect triage.
 </li>
 <li>
 Contribute to RAG pipelines, embeddings workflows, and LLM‑powered utilities under senior guidance.
 </li>
 <li>
 Integrate AI tooling into CI/CD pipelines and existing automation frameworks.
 </li>
 <li>
 Collaborate with QE, Platform, and Data Engineering teams to understand requirements and deliver practical solutions.
 </li>
 <li>
 Write clean, maintainable code and participate in code reviews and engineering best practices.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 2+ years of software engineering experience (Java, Kotlin, Python, or similar).
 </li>
 <li>
 Experience building backend services, APIs, or internal tools.
 </li>
 <li>
 Familiarity with LLMs, embeddings, or AI‑assisted development tools (GitHub Copilot, Cursor, etc.).
 </li>
 <li>
 Understanding of cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
 </li>
 <li>
 Strong problem‑solving skills and interest in AI‑driven engineering.
 
 
 </li>
 </ul>
 
 Key Competencies
 
 
 
 <ul>
 <li>
 Curiosity and willingness to learn AI‑driven engineering.
 </li>
 <li>
 Proficient coding fundamentals and attention to detail.
 </li>
 <li>
 Collaboration and communication across engineering teams.
 </li>
 <li>
 Ownership of assigned features and components.
 
 
 </li>
 </ul>
 
 Success Metrics
 
 
 
 <ul>
 <li>
 Delivery of reliable features within AI tooling platforms.
 </li>
 <li>
 Improved triage and test‑creation efficiency for GQE teams.
 </li>
 <li>
 Positive feedback from internal users on usability and impact.
 </li>
 <li>
 High code quality and consistent contribution to team velocity.
 
 
 </li>
 </ul>
 Paramount Streaming, a division within Paramount Global, is the home to the company's direct-to-consumer services spanning free and paid in the form of Pluto TV and Paramount+. Pluto TV is the global leader in free ad-supported TV, delivering more than 1,400 global channels and an extensive library of streaming content, including live and original channels. Paramount+, digital subscription video-on-demand and live streaming service, combines live sports, breaking news, and A Mountain of Entertainment&trade;. Paramount+ features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including SHOWTIME&reg;.
 
 
 
 Additional Information
 
 
 
 Hiring Salary Range: $115,920.00 - 173,880.00.
 
 
 The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible.
 
 
 
 What We Offer:
 
 
 
 <ul>
 <li>
 Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: https://www.paramount.com/careers/benefits
 </li>
 <li>
 Generous paid time off.
 </li>
 <li>
 An exciting and fulfilling opportunity to be part of one of Paramount&rsquo;s most dynamic teams.
 </li>
 <li>
 Opportunities for both on-site and virtual engagement events.
 </li>
 <li>
 Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.
 </li>
 <li>
 Explore life at Paramount: https://www.paramount.com/careers/life-at-paramount
 
 
 </li>
 </ul>
 Paramount is an equal opportunity employer (EOE) including disability/vet.
 
 
 At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.
 
 
 If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.
 
 
</div>

Software Engineer

Kairon Health

<div><h1 class="jobSectionHeader">About Kairon Health</h1>
Kairon is the execution layer for healthcare. We turn fragmented claims and clinical data into actionable workflows that help ACOs and health networks actually capture their shared savings &mdash; not just measure them after the fact.
We&rsquo;re a seed-stage team of &lt;10, working with real customers managing real patient populations. Our platform spans practice intelligence, care operations, patient activation, and performance analytics. We&rsquo;re AI-native &mdash; not as a buzzword, but because our team builds with Claude, automated transcription, and intelligent workflows as core infrastructure, not bolt-on features.
We&rsquo;re at the stage where our early customers love the product and we need to make onboarding, support, and ongoing operations repeatable without losing the high-touch quality that got us here.<h1 class="jobSectionHeader">
Position Overview</h1>
We&rsquo;re seeking a Senior Product Engineer, Data Applications to own the product layer where data meets decision-making. You&rsquo;ll build the data-powered applications that surface intelligence directly to users &mdash; from the Performance App and ACO-in-a-Box tooling to interactive reporting, scorecards, and next-generation analytics experiences.
This is a full-stack, product-oriented engineering role. You&rsquo;ll design and implement end-to-end solutions (data models, APIs, and UI components) that bring Kairon&rsquo;s insights to life for practice leaders. You&rsquo;ll work closely with engineering leadership, product, and analytics teams to transform complex healthcare data into intuitive, high-impact tools.
You&rsquo;ll thrive here if you&rsquo;re as excited about what you build as why you&rsquo;re building it: an engineer who understands product trade-offs, can shape features from user requirements, and enjoys turning messy data into meaningful, elegant applications.<h1 class="jobSectionHeader">
Key Responsibilities</h1><ul><li>
Own the data-to-application layer: Design, build, and maintain data-driven applications such as performance dashboards, scorecards, and analytic workbenches.</li><li>
Architect end-to-end features: Connect backend models, APIs, and frontend components to deliver interactive insights within the Kairon platform.</li><li>
Collaborate with product and analytics: Translate user needs and clinical/financial metrics into intuitive visualizations and actionable interfaces.</li><li>
Advance in-app intelligence: Integrate data pipelines, LLM insights, and healthcare analytics into user-facing modules (Performance App, ACO-in-a-Box, CRM, and others).</li><li>
Uphold scalability and quality: Design for maintainability, reusability, and performance; implement tests and observability to ensure reliability.</li><li>
Contribute to design &amp; UX: Work with designers to create cohesive, user-friendly experiences that communicate complex data clearly.</li><li>
Champion engineering excellence: Establish best practices, documentation, and component libraries for future applications.</li><li>
Leverage modern AI-assisted tooling: Use LLMs to accelerate development, code review, and refactoring while maintaining rigorous standards.</li></ul><h1 class="jobSectionHeader">
Qualifications</h1><ul><li>
6+ years of professional experience building production web applications (frontend + backend).</li><li>
Strong proficiency in Python, Django/DRF, Vue, and SQL; experience with data visualization frameworks and API design.</li><li>
Experience designing or consuming data models and ETL pipelines (e.g., Snowflake, dbt, or similar).</li><li>
Proven ability to translate product requirements into technical architecture and deliver polished, high-impact user experiences.</li><li>
Familiarity with healthcare, analytics, or enterprise SaaS environments.</li><li>
Clear communication and cross-functional collaboration skills; comfort working directly with product and leadership.</li></ul><h1 class="jobSectionHeader">
Preferred Qualifications</h1><ul><li>
Experience in healthcare or value-based care analytics, EHR data, or claims data models.</li><li>
Prior work integrating LLM-driven insights, AI-based summarization, or contextual intelligence into applications.</li><li>
Strong understanding of data visualization principles and UX for analytics products.</li><li>
Background that spans both engineering and product management (technical PM, full-stack data apps, or similar hybrid roles).</li><li>
Previous experience in an early-stage or high-growth startup environment.</li></ul><h1 class="jobSectionHeader">
Why This Role</h1><ul><li>
Impact. You&rsquo;re not maintaining someone else&rsquo;s machine. You&rsquo;re building customer operations from the ground up at a company where the work directly affects whether patients get better care.</li><li>
Growth. This role has a clear trajectory. Depending on your strengths and interests, this becomes Head of Customer Success, Director of Implementations, or a Product leadership role as we scale. You&rsquo;ll have the context and relationships to grow into whatever the company needs most.</li><li>
Stage. We&rsquo;re past the &ldquo;will this work?&rdquo; phase &mdash; customers are live and getting value. We&rsquo;re in the &ldquo;how do we do this 10x without breaking?&rdquo; phase. That&rsquo;s the most interesting operational puzzle in a startup.</li><li>
Equity. You&rsquo;ll have meaningful ownership as one of our first 10 hires, with a real seat at the table.</li></ul>
Diversity and inclusion are core to our culture. If you are a member of an underrepresented group in tech, we strongly encourage you to apply.
Compensation Range: $170K - $190K</div>

Product Engineer, Data

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Join Amazon's Data Integration organization and help shape the future of AI-driven data integration! We're seeking a talented Software Engineer to join our AI and Platform Excellence (APEX) team. APEX is at the forefront of leveraging AI/ML to revolutionize data integration workflows, making them simpler, and more efficient. 
 
As a member of APEX, you'll build core algorithms that harness the power of AI and machine learning to simplify the authoring, troubleshooting, upgrading, and optimization of data integration workflows. Your work will directly impact Amazon's ability to manage and utilize vast amounts of data across its many products and services. 
 
Utility Computing (UC) 
AWS Utility Computing (UC) provides product innovations &mdash; from foundational services such as Amazon&rsquo;s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS&rsquo;s services and features apart in the industry. As a member of the UC organization, you&rsquo;ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. 
 
Key job responsibilities 
<ul><li>Design, develop, and implement AI/ML-powered products for data integration workflows which simplifies complexity in data processing.</li><li>Build and own critical infrastructure powering Amazon's next-generation AI capabilities</li><li>Collaborate with data scientists and ML experts to s to transform innovative ideas into production systems</li><li>Optimize existing algorithms and systems for performance, scalability, and reliability</li><li>Contribute to the full software development lifecycle, from conception to production deployment</li><li>Mentor junior engineers and promote best practices in software development and AI implementation</li></ul> 
A day in the life 
<ul><li>Impact: Your work will directly influence how AI capabilities are developed and deployed at Amazon</li><li>Innovation: Work at the intersection of advanced AI research and enterprise-scale engineering</li><li>Growth: Learn from experts while working with the latest in AI technology</li><li>Purpose: Help shape responsible AI development practices and sustainable computing</li><li>Team: Join a collaborative environment focused on solving complex, meaningful challenges</li></ul> 
This role offers unique exposure to both AI infrastructure and product development, positioning you to make significant contributions to Amazon's AI initiatives while working with some of the industry's brightest minds. 
 
About the team 
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying. 
 
Why AWS? Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
 
Inclusive Team Culture Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. 
 
Mentorship &amp; Career Growth We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. 
 
Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.</div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>1+ years of software development engineer or related occupational experience</li><li>1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience</li><li>1+ years of Object Oriented Design experience</li><li>Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</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 - 158,100.00 - 213,800.00 USD annually</div>

Software Development Engineer, Data Analytics Integration AI and Platform Excellence

Explore 160+ Advanced quality engineer in New York this June. Find roles across top companies and apply now to boost your career.