Role Description Position Purpose: Accurately enter and process member provider selection requests and all other administrative operational tasks. - Track and process various change requests forms and doctor selection requests received through the member portal and other system queues timely and accurately. - Process provider termination requests by performing membership moves and initiate termination letter requests to affected membership. - Manually process provider selections for members unable to assign through the health plans auto-assignment systematic process. - Track and report provider selection errors demonstrated by call center representatives. - Retrieve and process all incoming returned mail and fax requests. - Process all provider member dis-enrollment requests. Qualifications - High school diploma or equivalent. - 1 year of data entry or general office experience. - Health plan experience. - Data entry experience. - Previous experience with computer applications, such as Microsoft Word and Excel. - Health Net system experience (ABS, NDS, Macess, Portico, etc). - Centene previous experience. Requirements - Typing test, basic computer skills test. - Years of experience required: + years related experience. - Manager wants the healthcare related positions to be recent. Benefits - Medical, dental & vision. - Critical Illness, Accident, and Hospital. - 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available. - Life Insurance (Voluntary Life & AD&D for the employee and dependents). - Short and long-term disability. - Health Spending Account (HSA). - Transportation benefits. - Employee Assistance Program. - Time Off/Leave (PTO, Vacation or Sick Leave). Company Description This is a Contract position based out of Los Angeles, CA. The pay range for this position is $23.00 - $23.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: This is a fully remote position. This position is anticipated to close on Jun 17, 2026.

Role Description The Supervisor, Data Support is responsible for assisting in developing people, processes, and systems to ensure the accurate and timely entry of prescription data into the pharmacy management system. This role is critical to ExactCare operational success and plays a direct role in delivering on our improving health and providing peace of mind. The Data Support team ensures that prescription data is processed with exceptional precision, enabling seamless medication synchronization, accurate patient profiles, and timely fulfillment. This position requires a focus on quality control, performance metrics, people leadership, and cross-functional collaboration. Responsibilities - Build, lead, and develop a high-performing team of Data Support Technicians responsible for entering, reviewing, and validating prescription data into the pharmacy management system. - Support oversight of workflow of all data entry processes to ensure timeliness, accuracy, and adherence to regulatory and operational standards. - Assist in monitoring daily productivity and quality metrics to ensure prescription data is processed efficiently and correctly to support the fulfillment of patient orders. - Conduct quality assurance protocols and audit processes to reduce errors and ensure compliance with industry standards. - Collaborate with Pharmacy Operations, IT, and other cross-functional teams to improve systems, tools, and data integration that enhance workflow and support scalability. - Help maintain training programs and process documentation to ensure consistency and effectiveness across the Data Support team. - Participate in continuous improvement efforts using data to identify trends, root causes, and opportunities for improved efficiency and data integrity. - Embody AnewHealth’s Core Values in all communications and interactions. - Other duties as assigned. Qualifications - High school diploma/GED required. - Certified Pharmacy Technician. - 1+ years of pharmacy operations or healthcare data leadership experience with Lead-level responsibility or greater. - Prior supervisory/people management experience. - Proven experience leading teams focused on data accuracy, workflow optimization, or prescription processing in a pharmacy or healthcare setting. - Strong understanding of pharmacy management systems, prescription processing, and medication data workflows. - Experience developing performance metrics, process documentation, and training programs. - Track record of improving operational performance through process improvement and people development. - High attention to detail, with the ability to manage complex data and workflow requirements. - Excellent communication skills with the ability to collaborate effectively across departments and with leadership. Requirements - This position is administrative in nature and will present physical demands requisite to a position requiring: hearing, seeing, sitting, standing, talking, and walking. - May be necessary to work extended hours as needed. - This is a full-time position with an expectation to work an average of 40 hours per week and be available outside of normal business hours to meet customer expectations on an ad-hoc basis. - This is a remote position. Benefits - Medical, dental, and vision coverage effective 1st of the month following date of hire. - Flexible spending. - Company-paid life insurance and short-term disability. - Voluntary benefits. - 401(k). - Paid Time Off and paid holidays.

Role Description At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers’ toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. As a Data Engineer, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make a significant impact by shaping and delivering robust data analytics solutions. Here, you will make an impact: - Design & Development: Architect, build, and optimize scalable and reliable data pipelines using tools like Fivetran, Informatica, AWS Glue, and custom Python scripts. - Data Modeling & Warehousing: Design and implement data models within our Snowflake data warehouse, ensuring data is accurate, accessible, and optimized for analytics. - System Integration: Lead the integration of complex data sources from various enterprise applications, including ERPs (SAP S/4HANA, MS Dynamics, BPCS) and SaaS platforms (Salesforce, Workday, Concur). - Collaboration: Partner with data analysts, business intelligence developers, and business stakeholders to understand data requirements and deliver effective solutions. - Operational Excellence: Establish and maintain data quality standards, monitor production data pipelines, and troubleshoot complex data issues to ensure high availability and performance. - Strategy & Innovation: Stay current with emerging technologies and industry trends to continuously improve our data infrastructure and capabilities. Qualifications - Bachelor’s Degree or higher AND 7+ years of data analytics experience OR High School Diploma/GED AND 11+ years of Information systems / Analytics application Consulting experience - 6+ years of strong experience with SQL and ability to write efficient code for high volume data processing - 3+ years of strong experience with Snowflake and dbt cloud - 6+ years of hands-on experience with data modeling design and implementation - 3+ years with AWS tools (S3, AWS Glue, Airflow, Lambda, Step function etc.), Informatica IICS or Fivetran/HVR - 3+ years working directly with subject matter experts in both business and technology domains - 2+ years with ERP applications - preferably SAP S4, MS Dynamics, Oracle and or BPCS - 2+ years of hands-on experience with Salesforce, Workday, Ariba, Concur or any other Enterprise application - 2+ years working with business and technical leaders to design, build and implement analytics solutions across a Business Intelligence Stack (Snowflake, SQL, Power BI/Fabric, AWS) Requirements - Snowflake is strongly preferred - Experience with Machine Learning tools and processes - Experience with Infrastructure as Code (IaC) principles and tools (e.g., Terraform, CloudFormation) - Travel: Occasional travel may be required up to 10 Domestic; international travel upon request - Relocation Assistance: is not authorized - Location: Remote - Must be legally authorized to work in the country of employment without sponsorship for employment visa status (e.g., H1B status) Benefits - Competitive pay and benefits - Medical, Dental & Vision - Health Savings Accounts - Health Care & Dependent Care Flexible Spending Accounts - Disability Benefits - Life Insurance - Voluntary Benefits - Paid Absences - Retirement Benefits

Role Description Hartford Fire Insurance Company in Hartford, CT has the following opening for a Sr. Staff Data Engineer. - Serve as the subject matter expert and/or technical lead for large scale data products. - Drive End-to-End solution delivery involving multiple platforms and technologies with medium-to-large complexity or oversee certain parts of very large complex implementations. - Leverage ELT solutions to acquire, integrate, and operationalize data. - Partner with architects and stakeholders to influence and implement the vision of the pipeline and data product architecture. - Safeguard the integrity and scalability of the environment. - Articulate risks and tradeoffs of technology solutions to senior leaders with translations as needed for business leaders. - Maintain accountability for data pipeline and product physical solution designs across teams as well as tool recommendations. - Evaluate and assess open source tools and frameworks. - Maintain accountability for Data Engineering Practices across all involved teams. - Research, experiment, and utilize leading big data methodologies (AWS, Hadoop/EMR, Spark, Kafka, Snowflake and Talend) with cloud/on premise hybrid hosting solutions, on a multi-team/product level. - Regularly conduct market research to maintain understanding and awareness of emerging data and analytics technologies, tools, techniques, and frameworks. - Evaluate, recommend, and influence all technology-based decisions for tools and frameworks for effective delivery. - Telecommuting available. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related field of study. - 5 years of experience in a software development or data engineering-related occupation. - 5 years of experience in: - Programming - SDLC practices - Distributed systems - Data warehousing solutions, including SQL and NoSQL - ETL tools - 3 years of experience in: - CICD - Bigdata - Cloud Technologies, including AWS and Azure - Python or Spark - Datamesh - Datalake - Snowflake - AWS - Developing and operating production workloads in cloud infrastructure - Software development lifecycle (SDLC), including Agile/iterative methodologies and toolsets Requirements - Salary Range: $149,568.00 to $184,920.00 per year. Benefits - Short-term or annual bonuses - Long-term incentives - On-the-spot recognition Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age