• Serve as the team lead for both onshore and offshore teams • Work closely with business analysts, data analysts, legacy system SMEs, ETL developers, Guidewire configuration and Integration developers, and QA testers • Translate data migration business requirements into technical solutions • Define project scope, user stories, acceptance criteria and estimates • Analyze complex data structures in legacy source systems • Install, configure, test, and run Guidewire migration tools • Manage the end-to-end data loading process • Optimize migration processes for performance • Identify, investigate, and resolve data quality issues • Enable offshore teams to be successful • Coordinate with the PMO to provide technical leadership • Participate in the creation of new tooling

Become a part of our caring community and help us put health first Lead Data Engineer: We are looking for talented Lead Data Engineer who loves building and pioneering in technology space. Team player who enjoys solving complex problems in fast paced, collaborative and iterative delivery environment It all begins with outstanding talent. It all begins with you. The Lead Data Engineer designs, builds, and maintains data processing architectures and solutions enabling the efficient conversion of structured and unstructured data to insights at enterprise scale. The Lead Data Engineer works on problems of diverse scopes and complexity ranging from moderate to substantial. The Lead Data Engineer Ingests data from internal and external sources utilizing cloud native platforms and software development best practices and patterns. Develops software tools that leverage artificial intelligence, machine learning, and big-data techniques to cleanse, organize, and transform data into insights and actions that enables Humana to better serve our members. Responsibilities: - This lead will design and develop applications using Data engineering related tech. - Act as one of the primary point of contact for the team, build POCs, build quick prototypes with latest industry standard software libraries and scale it for the platform - Design, code, test, debug and document programs using Agile development practices - Provides the strategy and design for projects associated with their technology domain including, upgrades and deployments - Develops new documentation and departmental technical procedures - Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction. Exercises considerable latitude in determining objectives and approaches to assignments. - Troubleshoots business and production issues by gathering information (for example, issue, impact, criticality, possible root cause); engaging support teams to assist in the resolution of issues; formulating an action plan; performing actions as designated in the plan; interpreting the results to determine further action; performs root cause analysis to prevent future occurrence of issues; and completing online documentation - Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community Use your skills to make an impact Required Qualifications: - 12 + years of Data engineering experience with Hands-on experience with Data Lakes, Event Streaming, Data Fabric, DevOps. - 8 + years of experience designing software applications using best practices and design first approach - 8 + years of experience with Python, Azure Databricks, Pyshark, Snowflake, - Experience in event-based streaming using Kafka in various formats like Json or Avro - Experience designing and developing cloud solutions using AWS, Azure or Google is a significant plus - Experiencing leading engineering team/teams in end-to-end delivery - Proficiency in federated data architectures (e.g., Data Mesh) and centralized models. - Strong experience with metadata management, data lineage, governance, discovery, and quality. - Experience in Database related tech like Oracle or Sql server - Demonstrates a strong commitment to team success by proactively contributing and taking initiative to ensure the delivery of high-quality work. - Experience analyzing existing applications and making modifications for new features while maintaining other existing functionalities - Experience working with GitHub and/or GitLab, SonarQube, JUnit, designing unit test cases using TDD and BDD methodologies - Experience using CI/CD pipelines and code quality tools - Test driven mindset using frameworks like Junit, SOAPUI, Selenium and contract testing tools - Expert knowledge of the Agile methodologies - Experience in Docker and Kubernetes Preferred Qualifications: - Familiarity with machine learning frameworks, tools and MLOps - Experience with developing highly scalable and always available applications on large-scale distributed databases. - Experience in React or Angular - Experience in micro services design and development - Exposure to AI Interview Format: As part of our hiring process for this opportunity, we will be using an interviewing technology called HireVue to enhance our hiring and decision-making ability. HireVue allows us to quickly connect and gain valuable information from you pertaining to your relevant skills and experience at a time that is best for your schedule. Work-At-Home Requirements To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested. Satellite, cellular and microwave connection can be used only if approved by leadership. Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense. Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information. #LI-Remote ​ Social Security Task Humana values personal identity protection. Please be aware that applicants may be asked to provide their Social Security Number, if it is not already on file. When required, an email will be sent from Humana@myworkday.com with instructions on how to add the information into your official application on Humana’s secure website. Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. Scheduled Weekly Hours 40 Pay Range The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. $142,300 - $195,700 per year This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. Description of Benefits Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities. About us Humana Inc. (NYSE: HUM) is committed to putting health first – for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large. ​ Equal Opportunity Employer It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

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 providing advanced analytical and data engineering support to drive data-informed decision-making and operational efficiency. - Design, develop, and deploy machine learning models for various applications to solve complex business problems. - Build and optimize automated, scalable ETL/ELT pipelines using Python, SQL, and cloud-based tools. - Develop and maintain production ML systems including model deployment and monitoring. - Create interactive dashboards and data visualizations using Tableau, Power BI, or similar platforms. - Conduct data mining, cleaning, and manipulation using SQL and Python. - Translate complex business requirements into technical solutions and analytical frameworks. - Provide technical mentorship on advanced analytics techniques and workflow automation. - Respond to urgent data requests and coordinate collaborative research and analysis projects. Qualifications - At least 5 years of experience in data science, machine learning, or advanced analytics. - Strong proficiency in Python and SQL for data manipulation and analysis. - Experience with ETL/ELT pipeline development and data engineering best practices. - Demonstrated knowledge of data visualization platforms like Tableau and Power BI. - Experience with cloud platforms and modern data infrastructure. - Knowledge of statistical analysis and modeling techniques. - Strong version control and collaboration skills using Git. - Exceptional analytical skills with attention to detail. - Strong communication skills with the ability to present findings to non-technical stakeholders. Benefits - Flexible work hours and remote work options. - Comprehensive medical, dental, and vision plans. - 401(k) plan with company matching. - Generous paid time off and holidays. - Paid parental and family leave. - Short and long-term disability benefits. - Life and accident insurance. - Opportunities for professional development and mentorship.

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 providing advanced analytical and data engineering support to drive data-informed decision-making and operational efficiency. - Design, develop, and deploy machine learning models for various applications to solve complex business problems. - Build and optimize automated, scalable ETL/ELT pipelines using Python, SQL, and cloud-based tools. - Develop and maintain production ML systems including model deployment and monitoring. - Create interactive dashboards and data visualizations using Tableau, Power BI, or similar platforms. - Conduct data mining, cleaning, and manipulation using SQL and Python. - Translate complex business requirements into technical solutions and analytical frameworks. - Provide technical mentorship on advanced analytics techniques and workflow automation. - Respond to urgent data requests and coordinate collaborative research and analysis projects. Qualifications - At least 5 years of experience in data science, machine learning, or advanced analytics. - Strong proficiency in Python and SQL for data manipulation and analysis. - Experience with ETL/ELT pipeline development and data engineering best practices. - Demonstrated knowledge of data visualization platforms like Tableau and Power BI. - Experience with cloud platforms and modern data infrastructure. - Knowledge of statistical analysis and modeling techniques. - Strong version control and collaboration skills using Git. - Exceptional analytical skills with attention to detail. - Strong communication skills with the ability to present findings to non-technical stakeholders. Benefits - Flexible work hours and remote work options. - Comprehensive medical, dental, and vision plans. - 401(k) plan with company matching. - Generous paid time off and holidays. - Paid parental and family leave. - Short and long-term disability benefits. - Life and accident insurance. - Opportunities for professional development and mentorship.