Top Tech Jobs & Startup Jobs

Design, build, and operate large-scale data platforms and production ETL/ELT pipelines. Partner with data science, analytics, and business teams; manage cross-functional delivery, QA, observability, data quality, experimentation infrastructure, and statistical model validation. Deploy containerized workloads through Docker, Kubernetes, CI/CD, and Helm. Own data operations, monitoring, incident response, SLAs, runbooks, and pipeline reliability while delivering accurate, scalable, and cost-efficient data assets.

Senior backend (Python) engineer responsible for designing, building and maintaining RESTful backend services and APIs, integrating data science outputs, optimizing performance and multithreading, troubleshooting UAT/integration issues, leading teams, and documenting solutions for enterprise Data-to-Decision systems.

Translates business and analytics requirements into technical data architecture specifications and fit-for-purpose solutions. Designs, plans, and guides data integration, modeling, quality, governance, optimization, and analytics platforms across cloud, on-premises, and hybrid environments. Applies software engineering and DevOps practices to automate and improve data flows. Collaborates with IT and business stakeholders, evaluates emerging technologies, manages competing priorities, and supports the evolution of the organization’s data ecosystem.

Analyze P&C insurance marketing, conversion, underwriting, and sales operations. Gather stakeholder requirements, document BRDs, FRDs, process flows, and user stories, and liaise between business and technical teams. Support process improvements, system enhancements, integrations, reporting, and data initiatives. Plan and execute UAT, validate solutions, and triage defects while managing multiple priorities and translating insurance concepts into actionable requirements.

Design, build, and maintain SharePoint Online solutions and SPFx web parts. Integrate SharePoint with Snowflake, SQL, SAS and REST APIs. Create embedded analytics and Tableau dashboards, perform data extraction/validation, ensure secure role-based access, and support recurring and ad-hoc reporting and analytics initiatives.

Develop and operationalize generative AI workflows using Claude Cowork, train business users, facilitate workshops, and support AI adoption across business units. Translate business needs into AI-enabled solutions through prompt engineering, workflow design, testing, and validation. Create reusable templates, playbooks, and best practices while monitoring adoption challenges, prioritizing use cases, and reporting progress to stakeholders.

The Principal Consultant will lead strategic data modernization and AI programs for enterprise clients, providing architecture guidance and fostering client relationships. Responsibilities include advising on data platforms, overseeing project delivery, identifying business opportunities, and mentoring teams.

Lead test-and-learn initiatives across insurance products and member experiences. Design experiments, analyze incremental impact using statistical and causal methods, integrate complex data sources, build lifetime value models, and translate findings into actionable business recommendations. Partner with product, marketing, operations, and strategy stakeholders while developing dashboards, documentation, and organizational experimentation capabilities.

Leads acquisition and onboarding funnel analysis using Adobe Analytics and clickstream data. Maps user journeys, identifies abandonment and friction points, builds behavioral segments, performs attribution and multi-touch analysis, and creates dashboards to monitor funnel performance. Translates insights into prioritized optimization recommendations, designs A/B tests, quantifies revenue impact, and collaborates with product, marketing, operations, and technology teams.

Develop functional, visually accurate user interfaces from designs, wireframes, and prototypes. Build responsive, accessible web experiences using HTML, CSS, JavaScript, and modern frameworks. Ensure cross-browser compatibility, collaborate with designers and backend developers, troubleshoot UI issues, provide technical feedback, and maintain pixel-perfect implementation. The role also requires user-centered design awareness, prototyping ability, strong communication, and attention to detail.