This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves contributing to the implementation of software tools essential for health care reform compliance and automated benefits enrollment within the National Employee Benefits Technology (EBTech) Department. - Audit and upload data for customer website implementations. - Create and configure EDI files for customer websites following best practices. - Conduct final testing and auditing of EDI configurations. - Guide development of Standard Operating Procedures (SOPs). - Build and maintain professional relationships with customers and partners. - Provide daily support to customers and assist teammates. - Maintain a working knowledge of health and benefits products. - Promote teamwork and a positive environment in the department. - Ensure accountability for quality assurance in EDI/Data tasks. - Respond to customer support queries with limited oversight. - Serve as a subject matter resource in customer meetings. - Follow department guidelines and engage in professional development. - Train and mentor junior team members and specialists. - Stay current on industry trends and technologies. Qualifications - 3-6 years of experience in an office environment, preferably in insurance or HR. - Experience with employee data file manipulation and EDI development. - Associate’s or Bachelor’s degree or equivalent work experience. - 3-6 years of software implementation experience. - Ability to learn and apply new concepts quickly. - Proficient with MS Office Suite. - Experience with database applications. - Attention to detail and adherence to deadlines. - Strong professional demeanor and problem-solving skills. - Ability to maintain confidentiality. Benefits - Medical, Dental, Vision, and Life Insurance. - Employee Stock Purchase Plan (ESPP). - 401k with company match. - Student Loan Assistance and Tuition Reimbursement. - Free Mental Health and Advocacy Services. - Paid Time Off and holidays. - Preferred Partner Discounts. - Focus on total well-being of teammates.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves leading a dynamic data engineering team dedicated to developing innovative solutions grounded in AI technologies. - Lead the data engineering team and manage all associated activities. - Drive the development of data architecture leveraging AI innovations. - Implement data engineering templates and architectures for optimized performance. - Collaborate with product and architecture teams to enhance data strategies. - Stay updated on AI trends to enhance team performance and relevance. - Manage internal stakeholders and represent the organization to clients as needed. - Oversee team performance evaluations and professional development initiatives. - Define results and take action to meet organizational objectives. Qualifications - Bachelor’s degree or equivalent work experience. - 7+ years of experience in data engineering/IT/Project Management, including management experience. - 2+ years leading projects with proven project management methodologies. - Experience with data integration/ETL tools like databricks, Hadoop, and AWS tech stack. - Familiar with AI engineering concepts and tools. - Proficiency in software development and database management. - Excellent communication and interpersonal skills. Benefits - Competitive salary ranging from $130,000 to $165,000. - Discretionary bonus eligibility. - Comprehensive benefits package including medical, dental, and vision. - 401(k) savings plans. - Generous paid time off policies. - Flexible remote working conditions.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves leading a dynamic data engineering team dedicated to developing innovative solutions grounded in AI technologies. Your leadership will be instrumental in shaping IT architecture that aligns with business needs while enhancing analytics capabilities. - Lead the data engineering team and manage all associated activities. - Drive the development of data architecture leveraging AI innovations. - Implement data engineering templates and architectures for optimized performance. - Collaborate with product and architecture teams to enhance data strategies. - Stay updated on AI trends to enhance team performance and relevance. - Manage internal stakeholders and represent the organization to clients as needed. - Oversee team performance evaluations and professional development initiatives. - Define results and take action to meet organizational objectives. Qualifications - Bachelor’s degree or equivalent work experience. - 7+ years of experience in data engineering/IT/Project Management, including management experience. - 2+ years leading projects with proven project management methodologies. - Experience with data integration/ETL tools like databricks, Hadoop, and AWS tech stack. - Familiar with AI engineering concepts and tools. - Proficiency in software development and database management. - Excellent communication and interpersonal skills. Requirements - Competitive salary ranging from $130,000 to $165,000. - Discretionary bonus eligibility. - Comprehensive benefits package including medical, dental, and vision. - 401(k) savings plans. - Generous paid time off policies. - Flexible remote working conditions. Benefits - Competitive salary ranging from $130,000 to $165,000. - Discretionary bonus eligibility. - Comprehensive benefits package including medical, dental, and vision. - 401(k) savings plans. - Generous paid time off policies. - Flexible remote working conditions.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves having a significant impact on our data analytics systems by building and maintaining frameworks that ensure reliable data acquisition, validation, and loading. - Build and maintain production quality data pipelines between operational systems and BigQuery. - Implement data quality checks and monitoring processes for data accuracy. - Contribute to our ingestion framework utilizing various data load tool connectors. - Create and maintain comprehensive documentation for engineering processes. - Monitor and ensure observability of internal data pipelines. - Troubleshoot and resolve data pipeline issues. - Align source and staging layers in dbt systems to efficiency and availability standards. - Investigate and implement event-driven data movements and transformations. - Explore and implement analytic data storage formats. Qualifications - Software development skills in Python, Java, Scala, or Go. - High proficiency in SQL. - Experience with data ingestion pipelines and workflow orchestration systems. - Knowledge of dbt or similar data transformation tools. - Highly motivated self-starter with problem-solving abilities. - Excellent communication skills for cross-functional collaboration. Benefits - Fully remote work with a global culture. - Career growth pathways and defined development opportunities. - Open communication and transparency within teams. - Autonomy to innovate and contribute meaningfully. - In-person onboarding for new hires. - Global annual leave policy with 30 days off and dedicated shutdown days.