Role Description We are looking for a Staff Data Engineer with significant experience to join our data team. Our data platform powers analytics for both internal business users and external customers, and plays a key role in enabling data-driven decision-making across the organization. In this role, you will focus on evolving our existing data platform and investing in its reliability, performance, and scalability. You will work closely with internal stakeholders to design and implement new data models in our Enterprise Data Warehouse as new reporting and analytics requirements emerge. The platform currently supports data and analytics needs across Checkfront, Manifest, Regiondo, and Rezdy, and provides reporting capabilities for both operational teams and customers. Our modern data stack includes Google BigQuery, Fivetran, dbt, Metabase, and GoodData. This is a great opportunity for someone who enjoys working with mature data platforms, improving existing pipelines, and delivering high-quality analytics that directly support business outcomes. This is a remote position working primarily Pacific Time hours in Canada or the United States. What you will do - Architect and evolve our data platform for scale and reliability - Define and implement advanced platform engineering test practices, including automated data integrity checks and CI/CD pipelines to ensure data quality - Act as a technical leader and mentor for the data engineering team, setting standards for system design and platform reliability - Maintain and support the enterprise data platform and existing data pipelines - Ensure reliable data ingestion, transformation, and reporting across Checkfront, Manifest, Regiondo, and Rezdy - Monitor, troubleshoot, and resolve issues across the data stack to ensure data accuracy and availability - Work closely with internal business users to understand their reporting and analytics requirements - Design and implement new data models in BigQuery using dbt based on business needs - Maintain and manage data ingestion pipelines - Deliver clean, well-structured datasets that power reporting and dashboards in GoodData or Google Sheets - Optimize BigQuery queries and data models for performance and cost efficiency - Ensure data quality, documentation, and governance across the data platform - Set up a testing and validation framework to automatically ensure data integrity across the platform - Contribute to data platform monitoring, alerting, and platform reliability Qualifications - Significant experience designing, building, and operating high-scale, distributed data platforms - Strong experience with SQL and data modeling in modern cloud data warehouses - Hands-on experience with Google BigQuery - Experience using dbt for transformation and data modeling - Experience with data ingestion tools such as Fivetran or similar ELT platforms - Experience supporting analytics platforms or BI tools - Strong understanding of data warehousing concepts and dimensional modeling - Expertise in maintaining and operating production data pipelines and platforms - Ability to work with business stakeholders to translate requirements into scalable data models - Strong troubleshooting and problem-solving skills - Excellent communication and documentation skills - Proven track record of mentoring engineers and improving technical standards - Experience leading large-scale architectural migrations - Ability to influence cross-functional roadmaps and communicate complex technical concepts Benefits - High trust, real impact: You’ll have the autonomy and expectation to lead with ownership, tackle problems end-to-end, and make decisions that move the business forward in meaningful ways - Curiosity with discipline: We value asking sharp questions, challenging assumptions, and exploring smarter ways to work - One team, all in: Collaboration beats ego, wins are shared, and we rally together when the work gets tough - Space to grow: You’ll be supported and stretched, taking on challenges that build capability, sharpen judgment, and accelerate your growth as a leader and problem-solver - Progress with purpose: We move fast, stay focused on what truly matters, and prioritize long-term impact over quick fixes

• Build and own the historical email ingestion pipeline via Microsoft Graph API • Implement SharePoint / OneDrive document ingestion pipeline with scoped folder access • Design and implement the PII minimisation pre-processing layer • Build the vector store indexing workflow (OpenSearch/Pinecone) with per-tenant data isolation • Define and implement the data processing schema; produce and maintain schema documentation • Build the OCR routing orchestrator and integrate OCR service for scanned documents • Implement the raw text / content extraction layer for all supported document types • Define and prototype push vs. pull ingestion strategy, from one-time PoC through to incremental nightly pipeline • Ensure data lineage and audit traceability are built into pipeline outputs from the outset

Bilingual Data Entry Specialist (6-month contract) Location: Remote, Quebec, Canada Category: Customer Ops & Service Full time Job Details PRIMARY DUTIES AND RESPONSIBILITIES: - Create and maintain patient records in the CRM by ensuring information documented are accurate and updated regularly - Execute administrative tasks critical to the progression of patients through the Program - Ensure data integrity - Act as a liaise between other members of the team - Handling faxes (incoming/outgoing) accordingly and timely - Organize work schedule to complement working hours in multiple time zones - Labeling and attaching documents to the CRM - Ability to cover various shifts - Ad hoc duties as assigned EXPERIENCE AND EDUCATIONAL REQUIREMENTS: - Excellent computer skills - Minimum 2 years experience in a similar administrative or data entry role - Experience with the SalesForce software (or experience with a CRM system) an asset - Experience with the faxing software (MyFax or Right Fax) an asset - High School Diploma or Post Secondary schooling preferred - Technical vocational training or equivalent combination of experience and education - 2 years directly related experience MINIMUM SKILLS, KNOWLEDGE AND ABILITY REQUIREMENTS: - Knowledge of medical terminology an asset - Ability to work autonomously - Ability to provide assistance to team members during periods of increased workload - Ability to recognize and question abnormal data and escalate if need be - Ability to foresee and adjust scheduling and adjust workload - Strong analytical skills - Effective interpersonal and leadership skills - Effective organizational skills; attention to detail - Ability to consistently meet deadlines ;Time management skills and ability to prioritize tasks - Excellent problem-solving skills; ability to resolve issues effectively and efficiently - Knowledge of Microsoft Word, Excel, PowerPoint and other Office Programs - Ability to communicate effectively in English and French (oral and written) for the Quebec and New Brunswick provinces The successful candidate may have daily contacts with unilingual English-speaking customers, patients or peers from cross-functional teams. What Cencora offers We provide compensation, benefits, and resources that enable a highly inclusive culture and support our team members’ ability to live with purpose every day. In addition to traditional offerings like medical, dental, and vision care, we also provide a comprehensive suite of benefits that focus on the physical, emotional, financial, and social aspects of wellness. This encompasses support for working families, which may include backup dependent care, adoption assistance, infertility coverage, family building support, behavioral health solutions, paid parental leave, and paid caregiver leave. To encourage your personal growth, we also offer a variety of training programs, professional development resources, and opportunities to participate in mentorship programs, employee resource groups, volunteer activities, and much more. Affiliated Companies: Affiliated Companies: Innomar Strategies

• Oversee the design, development, and implementation of data management, reporting, workflow automation, and system integration solutions that support Head Start and Early Head Start programs • Lead data projects, infrastructure, and automation initiatives to improve grant administration, operational efficiency, data quality, and decision-making while ensuring systems are scalable, secure, and reliable • Provide technical leadership, project oversight, and continuous improvement efforts to deliver innovative data solutions that support organizational performance and improve outcomes for children and families • Manage complex data engineering projects from planning through deployment, ensuring solutions are scalable, secure, reliable, and aligned with business requirements • Design and maintain data pipelines, ETL processes, databases, data warehouses, and reporting systems • Develop and manage API integrations and automated workflows across multiple systems and platforms • Establish and enforce data governance, data quality, security, and compliance standards • Collaborate with stakeholders to gather requirements and translate business needs into technical solutions • Monitor system performance, troubleshoot issues, and implement process and technology improvements • Prepare technical documentation, reports, and presentations for leadership and stakeholders