Top Tech Jobs & Startup Jobs

Design, develop, and support scalable ETL frameworks and data integration pipelines for complex healthcare datasets in Oracle Exadata environments. Responsibilities include data mapping, transformation, performance tuning, testing, troubleshooting, automation, documentation, data profiling, validation, reconciliation, and quality assurance. The role also supports secure coding standards, code reviews, operational reliability, and integration with modern cloud data platforms.

Participate in a 10-week Medicare sales internship involving classroom training, sales practice, presentations, job shadowing, direct-to-consumer sales exposure, phone-based activities, operational support, and AI-enabled business improvements.

Leads software architecture and hands-on development for enterprise applications using Java, Angular, AWS, Azure, and AI technologies. Defines technical standards, APIs, design patterns, roadmaps, and documentation; guides globally distributed engineering teams; builds resilient multi-cloud solutions; conducts code reviews and proofs of concept; and partners with product and business leaders to deliver scalable, secure architectures.

Lead enterprise data engineering and AI-powered pipeline development, including data ingestion, transformation, ETL/ELT architecture, GenAI and LLM frameworks, vector ingestion, embeddings, governance, data quality, responsible AI, and CI/CD deployment. Collaborate with analytics and AI teams to optimize healthcare data platforms, architecture, and scalable model workflows.

Entry-level sales rotational program combining inbound Medicare insurance sales with two six-month rotations in areas such as marketing, product, sales operations, workforce management, and business development. Responsibilities include handling customer inquiries, conducting needs analyses, enrolling consumers, managing campaigns, using AI tools, analyzing data, and completing required insurance licensing and training.

Principal Infrastructure and Operations Engineer responsible for configuring, tuning, troubleshooting, and optimizing z/OS mainframe networking environments. Maintains VTAM, TCP/IP, file transfer protocols, Policy Agent, OSA, and Connect:Direct/NDM configurations. Provides advanced performance troubleshooting, monitoring, on-call support, and maintenance-window assistance. Uses approved AI tools to automate workflows, analyze operational data, and improve processes while evaluating emerging AI applications for mainframe and LinuxOne system programming.

Build Part D pricing and forecasting models, develop pricing assumptions with internal teams, conduct ad hoc actuarial studies, and support Medicare Part D bid submissions. The role requires actuarial exam progress, data analysis, Excel modeling, and proficiency in SQL, Python, R, or SAS. It is remote within the U.S., with office requirements in Minneapolis and Washington, D.C.

Lead complex data science and AI initiatives focused on healthcare affordability, medical cost management, and operational efficiency. Develop and deploy machine learning, causal inference, optimization, and AI solutions using healthcare claims and enterprise data. Guide architecture, governance, validation, and measurement of production models; mentor data scientists; establish technical direction; and communicate insights and business value to actuarial, clinical, business, technology, and executive stakeholders.

Leads actuarial pricing and risk analysis for Medicare Part D, overseeing complex models, methodologies, assumptions, forecasts, competitive analysis, and product proposals. Manages and mentors actuarial staff, evaluates premium impacts, supports new and existing business, and resolves technical and organizational issues.

Lead the design, development, and support of scalable ETL/ELT pipelines using Databricks, Snowflake, Teradata, PySpark, and Airflow. Build enterprise data warehouse solutions, perform data validation and production support, optimize platform performance, ensure governance and security, translate business requirements into data solutions, lead projects, and mentor junior engineers.