• Monitorar e otimizar pipelines de dados, workflows e rotinas automatizadas em ambiente de produção; • Atuar na resolução de incidentes (inclusive no período noturno), garantindo rápida identificação, mitigação e automação de respostas; • Analisar logs, métricas e eventos para investigação de causa raiz, aplicando técnicas de análise avançada e, quando possível, modelos preditivos; • Desenvolver e evoluir mecanismos de automação para correção de falhas, reprocessamentos e recuperação de pipelines; • Implementar melhorias contínuas em pipelines com foco em eficiência, escalabilidade e confiabilidade; • Apoiar iniciativas de Machine Learning e IA, incluindo preparação de dados, monitoramento de modelos e sustentação de pipelines de inferência; • Documentar procedimentos técnicos, incidentes e playbooks automatizados.

• Lead the design and implementation of scalable, robust data architectures supporting enterprise-level data solutions • Design, build, and maintain complex ETL/ELT pipelines integrating data from diverse sources (APIs, cloud platforms, databases) • Own and deliver high-impact, complex data engineering projects end-to-end • Provide technical leadership and mentorship to junior and mid-level data engineers • Establish and enforce data engineering best practices, standards, and governance • Collaborate with cross-functional teams and client engineering teams to define data integration strategies and requirements • Monitor, troubleshoot, and optimize data pipeline performance, scalability, and reliability • Drive improvements in data quality, observability, and operational efficiency • Ensure data security, privacy, and compliance through proper architecture and Azure policies

• Manage File Transfer and Security: • Design and maintain secure client data gateways using SFTP • Administer SharePoint file security and permissions to ensure HIPAA compliance • Ensure complete data isolation for sensitive client information • Infrastructure Automation and Data Workflows: • Build and operationalize scripts using Python and PowerShell to automate file movements • Implement proactive pipeline monitoring and automated data cleanup processes • Develop automated notifications and workflows using Microsoft Power Platform (Power Apps, Power Automate) • Modern Data Stack (ETL/ELT) and Data Transformation: • Map incoming data formats CSV, Flat Files, DB files, EDI 834 Enrollment or EDI 835/837 claims files into the Data Warehouse • Develop and optimize dbt models to transform raw claims and eligibility data • Prepare analytics-ready tables to support business intelligence and reporting needs • Data Troubleshooting: • Perform root-cause analysis on complex data sets • Identify and resolve logic errors within Accumulators, Pharmacy Claims, and Eligibility files • Ensure data integrity across multiple pipelines and formats • Professional Communication: • Provide clear, concise technical guidance to internal teams • Translate technical database errors into actionable solutions for non-technical stakeholders • Maintain consistent communication to support cross-functional collaboration

Ideal Start Date: Immediately Location: Remote, US based Compensation: $155k - $175k based on experience Status: Full-time After applying, please keep an eye on your email (including spam/junk folders), as some of our messages may land there. WHO WE ARE ProfitCoach was founded on core Christian values that still guide us as we grow and continue to pursue excellence as property management thought leaders. We are grateful for the unique opportunities we’ve been afforded as a company that have led us on a consistent growth trajectory in our industry, and we are thankful for the amazing clients who have trusted us to come alongside them in their own business journey. Our team thrives in a completely remote work environment through high productivity and an emphasis on coaching and professional growth. WHO WE’RE LOOKING FOR We are looking for A-players, ready to jump into a thriving, entrepreneurially-driven company that has become the leader in our industry. We value people who are honest, coachable, invested, and willing to give their best to their clients and team. We appreciate growth mindsets, courage, candor, gratitude, and the entrepreneurial spirit that define our fully remote team of professionals. We seek new team members who are all in for the next steps of company growth! Summary of the Role Data & AI Systems Engineer Keeping it simple, the person for this position can proficiently: - Architect and engineer messy data.  - Write code leveraging AI - Engineer agentic workflows - Develop software If you have expertise in all four categories, we would love to hear from you. More details are provided below. This role is not: A pure software engineer who happens to work with data. The core challenge is making  unreliable data sources trustworthy enough to drive business decisions. Candidates who have only worked with clean, well-structured data will struggle here.