Role Description A primeira coisa que você precisa saber é que aqui você não vai cair na rotina. A Radix desenvolve soluções para empresas de diferentes setores e indústrias. Cada projeto tem suas tecnologias, soluções e prazos e você terá oportunidade de atuar e experimentar diferentes desafios. Como Profissional Líder Técnico de Engenharia de Dados você vai: - Desenvolver e otimizar pipelines de dados em ambientes batch e real time, garantindo qualidade, confiabilidade e eficiência. - Atuar na integração de dados de múltiplas fontes, observando políticas de governança e boas práticas de modelagem. - Participar ativamente do ciclo de vida dos projetos, colaborando com equipes de ciência de dados, infraestrutura, segurança e governança. - Definir arquiteturas de dados alinhadas às necessidades do negócio, com foco em escalabilidade, segurança e otimização de custos. - Demonstrar autonomia na criação de pipelines, tomada de decisões estratégicas sobre infraestrutura e tecnologias, e resolução de problemas técnicos de alto impacto. - Influenciar a direção técnica da equipe e contribuir para a melhoria contínua por meio de orientação, padronização e excelência nas entregas. Qualifications - Graduação em áreas como Ciência da Computação, Engenharia, Estatística, Matemática, Física, Economia ou áreas correlatas. - Inglês avançado para conversação. - Experiência em liderança técnica, com habilidades em mentoria e desenvolvimento de equipes. - Capacidade de definir e guiar a estratégia de ciência de dados em alinhamento com objetivos organizacionais. - Conhecimento em arquitetura de sistemas e escalabilidade de modelos de machine learning, além de práticas de MLOps. - Experiência em trabalhar com stakeholders para traduzir problemas de negócios em soluções de dados e conduzir as implementações. Requirements - Mestrado ou Doutorado em Engenharia de Dados, IA ou disciplinas que exijam alta capacidade analítica (diferencial). - Experiência com Cognite (diferencial). Benefits - Assistência Médica Nacional (para o titular e dependentes, com quarto privativo) - Assistência odontológica nacional (para o titular e dependentes) - Vale refeição / alimentação flexível - Auxílio home office - Day off (no mês do aniversário) - Wellhub (antigo Gympass) - Licença Maternidade (6 meses) e Paternidade (20 dias) estendidas - Auxílio creche para filhos de até 3 anos (por filho) - Apoio em saúde mental com a Wellz - Clube de Vantagens com descontos em diversos parceiros - Convênio com instituições de ensino e cursos de idioma - Desenvolvimento Profissional (Universidade Corporativa) - Parceria com empresa de coworkings no Brasil - Programa de Qualidade de Vida e Bem-Estar - Médico consultor para acompanhamento de radixers - Planos de incentivos

• Build data integration pipelines for data lakes and warehouses • Collaborate with stakeholders to implement business requirements • Optimize data transformations and consumption processes • Advocate good coding standards and best practices

COMPANY OVERVIEW At Harbor Health, we’re transforming healthcare in Texas through collaboration and innovation. We’re seeking passionate individuals to help us create a member-centered experience that connects comprehensive care with a modern payment model. If you’re ready to make a meaningful impact in a dynamic environment where your contributions are valued, please bring your talents to our team! POSITION OVERVIEW Harbor Health is rebuilding the operating system of healthcare. The HDS team contributes to this by building "HarborOS", the central nervous system of our clinical operations, tying together information from different clinical sources to drive optimal outcomes for our members. Data is our product. We are looking for Analytics Engineers to build and our data ingestion layer to bring in the data that will help us transform healthcare. You will not just move data, you will convert it into actionable insights to help our clinic network change lives. You will take raw chaos (claims, ADT, clinical data) and architect the trusted data marts that power out patient care, risk adjustment, and financial decisions. WHAT YOU WILL DO - Build the Semantic Layer: Design and implement production-grade dbt models that transform raw source data into clean, documented, and tested Data Marts. - Enforce Data Quality: Move beyond basic NOT NULL checks. Implement semantic validation rules (using dbt tests or Great Expectations) that catch business logic failures before they hit the dashboard. - Own the Pipeline: Manage the lifecycle of your data models from IDE to production, including code review, CI/CD integration, and performance tuning in Snowflake. - Bridge the Gap: Collaborate with Platform Engineers to understand upstream ingestion patterns (Python/Fivetran) and debug data issues at the source. - Design the core Star Schemas and data models that define our business. You will decide how we model complex concepts like "Attribution," "Risk," and "Claims Adjudication" to ensure historical accuracy and query performance. - Act as the primary interface between Clinical Operations and Engineering. You will interview stakeholders to uncover the "Why" behind their requests and translate vague business needs into precise technical specifications. - Mentorship & Standards: Set the standard for SQL style, dbt macro usage, and testing rigor. Mentor intermediate engineers on healthcare domain nuances (e.g., why a reversal claim behaves differently than a void). WHAT WE NEED - SQL Mastery: You can write performant, readable, and complex SQL. You understand window functions, CTEs, and the difference between a LEFT JOIN and a CROSS JOIN intuitively. - dbt Fluency: You have used dbt in production. You understand incremental models, snapshots, and how to structure a project for scale. - Python Literacy: You can read and understand Python scripts. You may not build the ingestion framework from scratch, but you can debug a transformation script if needed. - Data Warehouse Fundamentals: You understand how column-oriented databases (Snowflake) work and how to write queries that prune partitions effectively. STRONGLY PREFERRED - You bring deep subject matter expertise in healthcare data domains. You are fluent in processing 837 files, modeling the claim lifecycle (Adjudication, Reversal, Denial), and handling provider data nuances (NPI vs. TIN). - Proven experience designing Dimensional Models (Kimball/Star Schema) from scratch. You know when to denormalize for performance and when to normalize for integrity. OUR STACK - Transformation: dbt (Core/Cloud) - Warehouse: Snowflake - Ingestion: Fivetran, Python (Custom) - Orchestration: Airflow / Dagster - BI/Semantic Layer: Omni WHAT WE OFFER - Opportunity to shape the financial foundation of an innovative healthcare model - Collaborative and dynamic work environment - An organization made of people who are passionate about changing the healthcare landscape - Competitive salary, company equity and robust benefits package - Professional development and growth opportunities - A transparent and unique culture Harbor Health is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. We are committed to creating an inclusive environment for all clinicians and teammates and actively encourage applications from people of all backgrounds.

It’s More Than a Career, It’s a Mission. Our people are the foundation of our success. By joining our growing team at Sarah Cannon Research Institute (SCRI), a subsidiary of McKesson, you will have the opportunity to become part of one of the largest community-based cancer programs to advance oncology treatments and improve outcomes for cancer patients across the globe. We look for mission-driven candidates who have a desire to advance the fight against cancer and make a difference in the lives of patients diagnosed with cancer every day. Our Mission People who live with cancer – those who work to prevent it, fight it, and survive it – are at the heart of every decision we make. Bringing the most innovative medical minds together with the most passionate caregivers in their communities, we are transforming care and personalizing treatment. Through clinical excellence and cutting-edge research, SCRI is redefining cancer care around the world. SCRI’s Data Solutions team is seeking a Senior Data Engineer to address strategic data needs. The Senior Data Engineer is responsible for designing, building, and maintaining data engineering processes. This role involves working with cross-functional teams to develop efficient data pipelines and support data modernization initiatives. The position requires expertise in data engineering principles, experience with cloud technologies, and an ability to deliver reliable data solutions. Duties and Responsibilities: - Design and implement scalable and efficient data pipelines to support various data-driven initiatives.  - Designs and maintains Databricks Lakehouse pipelines across Bronze/Silver/Gold (Delta) layers, producing governed, ML-ready datasets with built-in data quality checks and lineage. - Collaborate with cross-functional teams to understand data requirements and contribute to the development of data architectures.  - Work on data integration projects, ensuring seamless and optimized data flow between systems.  - Implement best practices for data engineering, ensuring data quality, reliability, and performance.  - Contribute to data modernization efforts by leveraging cloud solutions and optimizing data processing workflows.  - Demonstrate technical leadership by staying abreast of emerging data engineering technologies and implementing industry best practices.  - Provide technical leadership in enabling AI/ML initiatives by designing scalable, reliable, and well-governed data engineering solutions. - Effectively communicate technical concepts to both technical and non-technical stakeholders.  - Promotions to different environments using GitHub CICD with GitHub Actions / Liquibase - Participate in the evaluation and identification of new technologies Minimum Qualifications:  - Deep technical expertise in building and optimizing data pipelines and large-scale processing systems.  - Deep technical expertise with Azure Cloud and Databricks.   - Experience working with cloud solutions and contributing to data modernization efforts.  - Strong programming skills (e.g.,SQL, Python, Pyspark or Scala) for data manipulation and transformation.  - Excellent understanding of data engineering principles, data architecture, and database management.  - Excellent understanding of data modeling concepts and data structures. - Excellent understanding of source to target data mappings. - Strong experience building AI/ML data pipelines in Databricks. - Proficient in leveraging GenAI and agentic frameworks to develop data engineering solutions. - Strong problem-solving skills and attention to detail.  - Excellent communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders. Additional Experience: - Knowledge of healthcare or clinical research industries is a plus.  - Strong technical aptitude and experience with a wide variety of technologies   - Ability to rapidly learn and if required evaluate a new tool or technology.   - Strong verbal & written communication skills   - Demonstrated technical experience.   - Be an innovative thinker.   - Must have a strong customer and quality focus. Education:  - Bachelor's degree in a related field (e.g., Computer Science, Information Technology, Data Science).  This is a remote position based in the United States. Relocation and visa sponsorship are not available. Interested candidates should submit their application through https://www.scri.com/careers/. Applications will be accepted through April 13th, 2026. Please ensure all required materials are included as outlined in the posting. About Sarah Cannon Research Institute Sarah Cannon Research Institute (SCRI) is one of the world’s leading oncology research organizations conducting community-based clinical trials. Focused on advancing therapies for patients over the last three decades, SCRI is a leader in drug development. In 2022, SCRI formed a joint venture with former US Oncology Research to expand clinical trial access across the country. It has conducted more than 750 first-in-human clinical trials since its inception and contributed to pivotal research that has led to the majority of new cancer therapies approved by the FDA today. SCRI’s research network brings together more than 1,300 physicians who are actively enrolling patients into clinical trials at more than 250 locations in 24 states across the U.S. Please click here to learn more about our research offerings. We care about the well-being of the patients and communities we serve, and that starts with caring for our people. That’s why we have a Total Rewards package that includes comprehensive benefits to support physical, mental, and financial well-being. Our Total Rewards offerings serve the different needs of our diverse colleague population and ensure they are the healthiest versions of themselves. For more information regarding benefits through our parent company, McKesson, please click here. As part of Total Rewards, we are proud to offer a competitive compensation package. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: careers.mckesson.com. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.