Top Tech Jobs & Startup Jobs

Build and maintain large-scale data structures, pipelines, and ETL workflows; design databases and data marts; integrate data science models into automated processes; optimize Hadoop/Spark-based systems; develop real-time and offline analytic tooling; ensure data quality and accessibility; troubleshoot, test, and recommend tools to meet analytics and reporting needs.

Design and implement ML solutions to automate pharmacy operations and improve patient outcomes. Partner with stakeholders to scope projects, assess Snowflake data, build feature pipelines, develop and evaluate models (deep learning, gradient boosting, anomaly detection, RL), create Kubeflow pipelines, deploy on Azure (support migration to GCP), and ensure healthcare compliance.

Design, build, and maintain large-scale data structures, pipelines, and ETL workflows; integrate data science models; optimize Hadoop/Databricks/Spark jobs; ensure data quality, accessibility, and healthcare data compliance; collaborate with cross-functional teams to support analytics and reporting.

Develops data-driven healthcare reporting and analytics using SQL, SSRS, Power BI, and Excel. Analyzes large claims/member/provider datasets, applies statistical/informatics methods, builds ETL and data models, creates visualizations, partners with business owners for regulatory/compliance and outreach reporting, and improves report performance and deployment.

Design, develop, upgrade, and deploy software applications and platforms. Implement ETL and data warehousing solutions, support large healthcare data systems, perform testing, participate in Agile/CI-CD, and mentor junior team members.

Develop and deploy advanced analytics and predictive models using large healthcare and retail datasets. Build data solutions, perform ML/NLP, visualize results, and support cross-channel deployment to inform pricing, cost, risk, and customer engagement.

Develop, validate, and deploy algorithms and predictive models using ML, NLP, and big-data tools. Create dashboards and analytics to improve patient care and healthcare operations, communicate results to stakeholders, and ensure data governance and best practices.

Lead development and implementation of data science and analytics solutions: apply data mining, statistical and predictive modeling, visualization, and experimentation to inform business decisions, mentor junior staff, and communicate insights to stakeholders and leadership.

Design, build and manage large-scale data structures, ETL pipelines, and data marts to support analytics and reporting. Collaborate with Data Science to integrate models, optimize Hadoop/HDFS queries, develop real-time and offline processing, ensure data quality, and recommend tools and solutions.

Design, build, and maintain large-scale data structures, pipelines, and ETL workflows. Integrate data from multiple sources, ensure data quality, support Data Science by building data marts/models, optimize Hadoop/HDFS queries, and collaborate on backend development and deployment.