Mary Bird Perkins Cancer Center is Louisiana’s leading cancer care organization, caring for more patients each year than any other facility in the region. And with strategic hospital and physician partnerships, we are delivering on our mission to improve survivorship and lessen the burden of cancer. Mary Bird Perkins and its partners work together to provide state-of-the-art treatments and unparalleled collaborative, comprehensive cancer services. This culture of innovation helps attract the best cancer minds in the country, from expert physicians and highly specialized scientists to forward-thinking leaders in supportive care and other disciplines. Together, with our hospital and physician partners, we are one-hundred percent focused on cancer care. Why Join Us? We are looking for talented and highly-motivated individuals who demonstrate a natural desire to support the meaningful work of community oncologists and the patients we serve. Job Description: POSITION TYPE: Full-time, 100% remote. Candidates must have reliable internet access and a suitable remote work environment SCOPE: This position is required for routine regional registry operations of the Mary Bird Perkins Cancer Center. This pre-ODS-C position is for a candidate who has training in healthcare, medical terminology, and health information coding, which are prerequisites to be trained to become a certified oncology data specialist. Responsible for reviewing cancer registry software messages and initiating reportable cancer cases, performs case abstracting under supervision of a certified oncology data specialist, and coordinates tumor conference meetings. FUNCTIONS: 1. Casefinding 2. Coordinates Tumor Conference 3. Abstracting, Coding, and Staging 4. Education/Quality Control 5. Productivity QUALIFICATIONS: High school diploma or equivalent required. Associate's degree in an allied health field or post-secondary coursework in human anatomy & physiology highly preferred. Active ODS-C (Oncology Data Specialist-C) Certification through the NCRA highly preferred. 1-3 years’ experience in either regional tumor registry, hospital tumor registry, or applicable healthcare environment.

• Building and maintaining production-grade data pipelines in cloud data warehouses such as Google BigQuery or equivalent, following architectural standards set by the Director of Data and AI. • Designing and developing dbt models across bronze, silver, and gold layers, including a focus on quality and governance via automated tests, documentation, and incremental load strategies. • Creating and optimizing Airflow DAGs for data workflow orchestration, including scheduling, dependency management, error handling, and alerting. • Implement dimensional data models and data mart structures — guided by the team's modeling standards — that support clinical BI and ML feature consumption. • Crafting easy-to-understand visualizations and dashboards that align with commonly used business analytic standards in Looker or equivalent BI tools in close collaboration with product analytics, finance, operations, growth, and clinical stakeholders. • Integrating healthcare data from sources such as EHRs, Stripe, 3rd-party APIs, and application database feeds, normalizing incoming data into the unified data platform. • Applying HIPAA-compliant data handling practices, including PHI/PII masking, tokenization, audit logging, and role-based access controls across all pipeline and AI system work. • Architecting and implementing RAG pipelines — including document ingestion, chunking, embedding generation, and retrieval — using frameworks such as LangChain or LangGraph • Supporting MLOps workflows, including model training pipeline maintenance, deployment support, performance monitoring, and retraining triggers. • Code reviewing PRs from teammates, providing constructive technical feedback to peers, and upholding the team's engineering standards. • Collaborating closely with product managers to understand requirements and deliver reliable data and AI products. • Monitoring and triaging assigned pipeline and data quality failures, escalating architectural issues as appropriate. • Documenting pipeline designs, data models, and technical decisions in alignment with the team's governance and lineage tracking standards. • Evaluating new tools and frameworks, providing hands-on prototyping and technical assessments.

Important Information Location: Brazil Job Mode: Full-time Work Mode: Work from home Job Summary We are looking for a Data Site Reliability Engineer (SRE) to ensure the reliability, scalability, and performance of our data platform built on Databricks and Microsoft Azure. This role focuses on maintaining and improving data pipelines, cloud infrastructure, and deployment processes, while driving operational excellence across the platform. The ideal candidate will have strong experience in automation, cloud engineering, and incident management, with a proactive approach to system reliability and continuous improvement. You will work closely with data engineers and platform teams to support Databricks workloads, optimize performance and costs, and ensure smooth release cycles and production stability. Essential Skills - Strong SQL skills (data querying, optimization, and troubleshooting); - Strong scripting skills in Bash and Python; - Experience designing and implementing CI/CD pipelines using Azure DevOps (environments, triggers, pipelines); - Experience managing Azure DevOps projects (users, permissions, organization); - Knowledge of repository management and branch policies; - Hands-on experience provisioning and maintaining infrastructure with Terraform; - Strong expertise in Azure (compute, storage, networking, containerization); - Experience working with Databricks (Unity Catalog, Delta Lake, Lakehouse Federation); - Solid incident management experience (communication, troubleshooting, post-mortems, runbooks); - Experience with release management, including stakeholder coordination and end-to-end ownership of production releases Highly Desirable Skills - Experience with observability and monitoring tools (e.g., Prometheus, Grafana); - Background in data engineering or data platform environments; - Familiarity with distributed systems and big data technologies (e.g., Apache Spark); - Experience optimizing cloud costs and performance; - Knowledge of Infrastructure as Code best practices and DevOps culture. About Encora Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

• Build and maintain ETL pipelines to process and export record data to Sayari Graph application • Develop and improve entity resolution processes • Implement logic to calculate and export risk information • Work with product team and other development teams to collect and refine requirements • Run and maintain regular data releases