Trinetix

Cloud Engineer

• Design and present innovative multi/hybrid cloud and infrastructure solutions that address customer challenges and drive business growth
• Lead and contribute to creation of comprehensive responses to RFPs and RFIs, aligning technical proposals with customer requirements and business goals
• Collaborate with sales, delivery, solution architects, and customer success to shape winning solution narratives and technical differentiators for competitive bids
• Support presales engineering activities including solution positioning, scoping, and value articulation
• Present and demonstrate proposed solutions to technical and non-technical stakeholders and customers
• Develop and maintain high-quality technical documentation, including architectural diagrams and solution specifications, to support proposals and sales enablement
• Engage with internal stakeholders (engineering, legal, finance, product) to ensure solution feasibility, compliance, and alignment with strategic goals
• Leverage market trends, client feedback, and past bid data to continuously improve effectiveness of RFP responses and proposal strategies

Cloud Service Manager

Business Analyst

• Trinetix is seeking an experienced Business Analyst / Data Analyst with strong expertise in US healthcare data, claims processing, and Accountable Care Organizations (ACO)
• Role will contribute to product development and client implementations, ensuring data-driven insights and solutions
• Collaborate with product managers, engineering teams, and clients to define business requirements and translate them into functional specifications
• Perform data analysis on US healthcare claims data (professional, institutional, and pharmacy claims) and CCLF data sets to support product features and client needs
• Support design and validation of ACO-related reporting, quality metrics, and performance monitoring dashboards
• Serve as subject matter expert (SME) on healthcare claims data, ACO models, and CMS programs in client discussions
• Conduct gap analysis, data mapping, and requirements gathering for product features and client onboarding
• Develop data validation, testing, and reconciliation strategies to ensure data quality and compliance
• Create functional and technical documentation including BRDs, FRDs, user stories, acceptance criteria, and data dictionaries
• Partner with implementation teams to ensure successful product deployment, integration, and client adoption
• Stay updated on CMS regulations, ACO program changes, and healthcare interoperability standards

Data Engineer

• We are seeking an experienced and highly motivated Senior/Staff Data Engineer to lead the design, development, and optimization of scalable data solutions in a complex, fast-paced environment. This role will focus on delivering robust, high-performance data pipelines and platforms to support advanced analytics, machine learning, and operational data needs. The ideal candidate will have extensive experience in U.S. healthcare data, with deep knowledge of claims processing, HL7 FHIR standards, and a strong background in modern data engineering technologies.
• Lead the design, development, and maintenance of scalable ETL/ELT pipelines for structured, semi-structured, and unstructured data.
• Architect, implement, and optimize data warehouses and lakehouses leveraging Snowflake and/or Databricks.
• Integrate and process data from diverse sources, including EHR, claims systems, HL7 FHIR APIs, and healthcare-specific datasets.
• Ensure data quality, lineage, and governance in compliance with HIPAA and other healthcare regulations.
• Collaborate with business stakeholders, data scientists, and analysts to translate business requirements into efficient and reliable data solutions.
• Optimize SQL and Python code for performance, scalability, and cost efficiency.
• Implement orchestration, automation, and monitoring frameworks (e.g., Airflow, dbt, Azure Data Factory).
• Lead troubleshooting efforts for data pipeline and infrastructure issues, ensuring system reliability.
• Establish and enforce best practices for data engineering, including CI/CD pipelines, testing, and documentation.
• Mentor junior engineers and contribute to the overall technical strategy for data engineering.