Role Description Global Development is embarking on a Digital Transformation project incorporating AI, machine learning, and automation to help us reduce cycle times, improve quality allowing us to focus on more meaningful work. We focus on developing and improving data pipelines, infrastructure, architecture, and analytic tools to allow resources to fuel our transformation. Working with a team of engineers, analysts, and scientists, you will contribute to modernizing our clinical data infrastructure. This highly visible role will be a technical and strategic liaison between the transformation projects and IT. A key responsibility will be developing and optimizing schema and data models for clinical data. We ensure that those products are standard compliant and interoperable with other platforms and data sources. This role will also contribute to data governance strategy and to the development and management of tools improving and monitoring data quality. The data engineer will also develop processes to automate routine workflows. The engineer will also provide technical leadership and mentorship and will stay current with innovations in data engineering so that they may be evaluated for implementation. This position offers the opportunity to contribute to a fast-growing, science-driven organization making a meaningful difference to patients worldwide. This can be a remote position in the UK or in our Uxbridge offices. Discover your role: - Work with a cross-functional team to optimize and implement our data strategy with a focus on optimization for digital transformation and the use of AI/ML - Design and document end-to-end data architectures that support diverse analytic, operational, and research needs. - Facilitate the implementation of a modern data platform (e.g. Snowflake, Databricks, etc.) - Identify opportunities and implement solutions to increase data interoperability and standardization among systems and across other business units. - Develop and implement pipelines to monitor and improve both internal and external (i.e., from CRO partners) data quality. - Work with informatics and AI engineers optimizing the utility of data for their respective pipelines. - Monitor and optimize the performance of data architectures and platforms. - Develop or implement critical metrics to measure the impact of the overall data strategy. - Stay up to date with the latest advances in the field and, as appropriate, evaluate them for adoption. Requirements - An advanced degree in computer science, statistics, biomedical informatics, or a related field is preferred (PhD + 2 years of experience or an MS + 4 years of relevant experience). - A minimum of 5 years’ experience developing and leading the implementation of data engineering solutions, including accountability for the success of the implementation, in life sciences or healthcare. - Demonstrated expertise in designing and maintaining infrastructure and architecture for clinical or biomedical data in a healthcare or life sciences setting. - Expertise in modern data platforms (e.g., Snowflake, Redshift, BigQuery, Databricks) and programming languages such as Python, SQL, R, etc. - Maintain and manage code repositories (e.g Bitbucket) ensuring clean, well-documented code with proper version control. - Proficiency in cloud architecture (e.g. AWS, Azure, GCP) and DevOps practices. Recognized certifications are a plus. - Experience building, scaling, and maintaining pipelines for structured and unstructured data. Ability to integrate pipelines across the enterprise is essential. - Deep understanding of regulatory frameworks (HIPAA, GDPR, 21 CFR Part 11) and clinical data standards (CDISC, HL7, FHIR). - Knowledge of machine learning pipelines and integration with clinical data platforms. - May require travel up to 20%. Benefits - Health and wellness programs (including medical, dental, vision, life, and disability insurance) - Fitness centers - 401(k) company match - Family support benefits - Equity awards - Annual bonuses - Paid time off - Paid leaves (e.g., military and parental leave) for eligible employees at all levels

Role Description The Data Engineering team at BlueCross BlueShield of Tennessee is hiring an Associate Data Engineer II to build and optimize data pipelines that power critical system and vendor integrations, as well as enterprise analytics. This role is ideal for candidates with strong experience in SQL and Python who are comfortable designing, enhancing, and troubleshooting scalable data pipelines, supporting data warehouse structures, and resolving complex data quality issues. In this role, you will: - Partner closely with data engineers, business analysts, vendors, and stakeholders to deliver reliable, high-performing data solutions using modern cloud technologies, including Google Cloud and BigQuery. - Collaborate across teams and participate in an on-call rotation, offering continued growth opportunities and the ability to expand into more advanced engineering responsibilities. Notes: - On-call rotation is required for this role, starting about 6 months into the position. - Sponsorship is unavailable for this role. - While this is a remote, work from home position, the final round of interviews will take place onsite in our Chattanooga, TN offices. Qualifications - Bachelors Degree in Computer Science or equivalent work experience required. Equivalent years of experience are determined as one year of technical experience for every year of college requested. - A minimum of 2 years of programming experience is required. However, a Master’s degree in Computer Science, Data and Analytics, Information Technology, or a related technical field can substitute for this experience requirement. - 1 year of professional or academic working knowledge of at least one programming language in use at BCBST. - Proven skill with information technology in use at BCBST is required. - Excellent oral and written communication skills. Requirements - Formulates and defines system scope and objectives through research to design, develop, modify, or integrate moderately complex information systems. - Devises or modifies application systems and procedures to optimize functional requirements including capacity, operating time, response time, and form of desired results. - Designs, codes, tests, debugs, and documents programs, subroutines, and scripts. - Must be competent to work on most phases of applications systems analysis, and must maintain technical skill set for software languages, databases, platforms, operating systems, etc. - Responds to system failures and performance events by taking appropriate measures to reduce system downtime and eliminate recurrence of problems. - Provides services to multiple project teams or management staff, provides guidance to less-experienced programmers, and may conduct presentations to provide end users with knowledge to maximize their use of developed systems. - May serve one or more project team roles, such as project lead, business systems analyst, or technical lead, for small to medium efforts. Company Description

Role Description The Data Management – Vendor Data Engineering team at BlueCross BlueShield of Tennessee is hiring an Associate Data Engineer I to support the development and maintenance of data pipelines that power critical vendor integrations and analytics workflows. This role is ideal for candidates with a foundation in SQL and Python who want to build hands-on experience designing, testing, and troubleshooting data pipelines, supporting data warehouse structures, and resolving data quality issues. In this role, you will: - Partner closely with data engineers, business analysts, and stakeholders to deliver reliable, scalable data solutions. - Learn modern cloud platforms such as Google Cloud and BigQuery. - Collaborate across teams and participate in an on-call rotation. - Receive strong mentorship and growth opportunities toward more advanced engineering roles. Notes: - On-call rotation is required for this position, starting approximately 6 months into the role. - While this is a remote, work from home position, the final round of interviews will take place onsite in our Chattanooga, TN office. - Sponsorship is unavailable for this role. Qualifications - Bachelors Degree in Computer Science (or related field) or equivalent work experience required. - Equivalent years of experience are determined as one year of technical experience for every year of college requested. Requirements - Formulates and defines system scope and objectives through research and fact-finding to design, develop, modify, or integrate information systems. - Devises or modifies application systems and procedures to optimize functional requirements including capacity, operating time, response time, and form of desired results. - Designs, codes, tests, debugs, and documents programs, subroutines, and scripts. - Maintains technical skill set for software languages, databases, platforms, operating systems, utilities, and networks needed to support work assignments. - Responds to system failures and performance events by taking appropriate measures to reduce system downtime and eliminate recurrence of problems. - May conduct presentations to provide end users with knowledge to maximize their use of developed systems. Company Description

Role Description Estamos en búsqueda de profesionales para el rol de Data Engineer que quieran crecer, aprender y dejar su huella siendo parte de un equipo inclusivo, colaborativo y global. - Dominio experto en procesamiento de datos. - Dominio experto en migraciones de datos. - Mínimo de 1 año de experiencia en habilidades o áreas relacionadas. - Título universitario de grado (Licenciatura) en un campo de estudio relevante. PUNTOS ADICIONALES SI CUENTAS CON: - Dominio experto en acceso a datos. - Dominio experto en ingeniería de datos. - Dominio experto en pipelines (canalizaciones) de datos. - Nivel avanzado en gestión de la calidad de datos. - Conocimientos intermedios de arquitectura en la nube (cloud architecture). Benefits - Desarrollo de carrera. - Jornadas Flex. - +50 mil capacitaciones y cursos disponibles (online y presencial). - Bibliotecas, libros y podcasts. - Programa de idiomas. - ¡Certificaciones gratuitas mediante nuestros partners! +900 Reinventors certificados en Chile. - GenAI Academy, con programas exclusivos para Accenture. - Reconocidos por Great Place To Work Chile 2025 en el puesto #8 entre las mejores compañías para trabajar de más de 1.000 colaboradores. - ¡Experiencia de onboarding global! - Bonos y aguinaldos. - Seguro complementario de salud (100% pagado por la empresa y sin deducible). - Día de cumpleaños libre. - Licencias de Paternidad & Maternidad Extendida. - Red global de conocimiento. - Elegida la compañía más diversa e inclusiva del mundo, según el Índice de Diversidad e Inclusión de Refinitiv. - Sostenibilidad, un motor de cambio, conoce nuestro compromiso. Company Description - 800K colaboradores a nivel global. - 9K clientes en 120 países. - + de 2.000 Talentos en Chile. - Proyectos en diversas industrias.