Top Database Jobs in New York City, NY

Steward and grow a strategic insurance territory through full-cycle enterprise SaaS land-and-expand selling. Engage C-suite and product leaders, diagnose challenges, build data-driven ROI business cases, close complex $500k-$1M+ deals, and partner with delivery teams post-sale to ensure long-term customer success.

The Senior Full-Stack Engineer will manage client relationships, design integration solutions, and ensure seamless delivery and optimization of technical workflows, while leveraging AI for efficiency.

Drive new-business sales and competitive displacement in enterprise backup and data security. Prospect, penetrate competitor accounts, collaborate with channel partners, present technical/business solutions, meet revenue targets, and leverage AI tools to enhance productivity.

Lead Engineer to architect, build, and deploy production-grade GenAI and agentic AI systems grounded in knowledge graphs. Responsibilities include neuro-symbolic design, knowledge-graph modeling and databases, agent orchestration, LLM integration, scalable APIs, data pipelines, governance, reliability, and mentoring engineers across enterprise domains.

Lead business analysis across the project lifecycle: elicit and document requirements, design solutions, support testing and implementation, manage scope and risks, facilitate stakeholder workshops, resolve issues, serve as LifePRO underwriting SME, and mentor junior analysts.

Lead development and execution of credit risk strategies across the credit lifecycle. Analyze portfolio performance, identify risks and opportunities, design and test policy changes with stakeholders, present insights to senior leadership, and drive data-driven optimization to improve risk-adjusted returns and compliance.

Leads the strategy and roadmap for H1’s data feeds, inbound data capabilities, ingestion standards, and structured data delivery. Partners with engineering, data operations, product, commercial, and executive stakeholders to improve data quality, reliability, documentation, and scalability. Investigates issues using complex SQL, governs data dictionaries and feed specifications, oversees healthcare data domains, resolves escalations, and communicates technical strategy to leadership and clients.

As a Staff Data Engineer, lead significant data projects, ensuring scalable architectures and optimized data pipelines, while mentoring others and collaborating cross-functionally.

The Staff Data Engineer will lead the architecture and scalability of H1's healthcare data processing systems, ensuring efficient entity resolution and big data operations. Responsibilities include design and optimization of distributed Spark pipelines, team leadership, and collaboration with AI/ML teams to enhance data processing capabilities.

Leads and scales LangChain’s SDR team, owning performance, coaching, recruiting, pipeline generation, qualification playbooks, and productivity systems. Partners with sales, marketing, and RevOps on account targeting, territories, inbound conversion, and pipeline goals. Uses funnel metrics and conversion analysis to improve team effectiveness while supporting technical products and developer audiences.

Build end-to-end data platform to ingest, normalize, and structure payer policies; design scalable pipelines and schemas; integrate LLMs and RAG for extraction, search, evaluation, and human-in-the-loop QA; own product-quality, auditability, and production systems alongside founders.

Build and own full-stack AI applications, data APIs, dashboards, and cloud-native services. Develop Python and Node.js backends, React frontends, AI/ML integrations, RAG pipelines, authentication, API management, testing, CI/CD, and performance improvements. Collaborate with AI/ML engineers, data scientists, product, and design teams to deliver scalable, reliable, intuitive, and responsible AI experiences.

Oversee complex, enterprise-wide IT programs and projects supporting data and personalization initiatives. Develop strategies, business cases, plans, budgets, and schedules; coordinate cross-functional teams, vendors, and executives; manage dependencies and priorities; track milestones; and ensure projects meet strategic goals. Maintain JIRA product backlogs and collaborate with Product Management and technical stakeholders to translate business and technical requirements into actionable work.

Leads a QA team responsible for testing quality across software products and initiatives. Oversees manual, automated, exploratory, regression, and risk-based testing; drives quality throughout the SDLC; expands automation and CI/CD testing; and champions responsible AI use in QA workflows. Manages delivery, metrics, risks, team development, and cross-functional collaboration with Engineering and Product to improve release confidence, efficiency, and software quality.

The Business Development Representative will identify and qualify leads, educate prospects, collaborate with teams, and maintain a sales pipeline.