Top Tech Jobs & Startup Jobs

Design and implement analytics solutions and predictive models using ML, NLP, and statistical methods on large healthcare and retail datasets. Profile and ingest data, perform feature engineering, train and evaluate models, visualize results, and support deployment across channels to inform pharmacy, medical cost, risk scoring, and customer engagement initiatives.

Lead planning and delivery of digital product initiatives: define roadmaps, decompose features into user stories, manage backlogs, collaborate with product owners, architects, and agile teams, ensure technical integrity and customer value, monitor implementation, resolve impediments, and support testing and release of web and mobile features.

Design, develop, upgrade, test, and deploy software applications and backend services to support digital healthcare solutions. Analyze requirements, create technical designs, perform code reviews, troubleshoot issues, participate in Agile/Scrum and CI/CD processes, and mentor junior engineers. Support systems processing prescriptions, claims, and related healthcare activities.

Design and develop digital software applications and platforms: analyze user needs, produce technical designs, upgrade systems for performance and reliability, write and review code, perform unit/automation testing, support applications/databases for prescriptions and claims, collaborate cross-functionally, and mentor junior engineers.

Design and develop enterprise healthcare software and backend services. Produce technical designs, write and review high-quality code, perform unit/automation testing, deploy to production, support prescription/claims systems, mentor junior engineers, and collaborate with cross-functional teams using Agile/SAFe practices.

Lead and facilitate Agile teams and PI planning to deliver technical software solutions. Partner with product, UX, QA and business stakeholders to define requirements, write user stories, create test plans, validate UAT, and ensure on‑time production delivery. Use Jira/Confluence to manage backlog, track progress, analyze defects, and drive cross‑functional accountability.

Design, build, and maintain cloud-native web applications and large-scale data pipelines. Implement ETL, databases, CI/CD, containerized deployments, and integrate machine learning models. Collaborate with data science teams, optimize Hadoop/Spark workflows, and support production operations and analytics needs.

Develop and deploy analytics applications and predictive models using NLP and machine learning on large health datasets. Design data solutions and ETL, perform data profiling, build statistical models, visualize results, and support multi-channel deployment to inform pharmacy, medical cost, risk scoring, and customer engagement solutions.

Design, build, and maintain large-scale data structures, pipelines, and ETL workflows. Integrate data sources, support data marts and models, collaborate with Data Science to operationalize models, optimize Hadoop/Hive queries, and ensure data quality and accessibility.

Lead and deliver a portfolio of Data, AI, and ML products for retail pharmacy growth and operations. Define AI strategy toward agentic automation, architect cloud-native ML solutions, enforce security and HIPAA-compliant data governance, scale Claude Skills and MCP integrations, run engineering standards and CI/CD/DataOps, and grow high-performing engineering teams while partnering with senior stakeholders to drive measurable business outcomes.