Role Description Trillium Health Resources has a career opening for a Provider Data Management (PDM) Coordinator to join our team! The PDM Unit is responsible for and focused on the management of Provider Data. This includes: - Processing daily provider data - Monitoring the Provider Enrollment File (PEF) - Conducting crosswalk analyses between the Provider Electronic Data (PED), PEF, NC Tracks, other state systems, and information located in Trillium Business Systems (TBS) - Reconciling data inaccuracies - Mapping provider data - Identifying trends and patterns in data - Auditing data - Adhering to reporting requirements - Conducting provider outreach and technical assistance The PDM Coordinator is responsible for providing data analysis and support to the PDM Unit. On a typical day, you might: - Assist with developing network adequacy analytical reports - Ensure all assigned project components are completed in a timely manner - Work with Network Accountability Unit, Contracting Unit, IT, and additional partners to identify and correct Provider Directory issues - Review daily files and make determinations regarding how changes noted affect contracts, member access, service delivery, etc. - Provide technical assistance to providers regarding Provider Data Reports, NC Tracks data, or Trillium’s Business System as related to PDM functions - Ensure that data is presented in a user-friendly format - Assist with processing daily files as needed Qualifications - High School Diploma/GED and six (6) years of experience in the behavioral/mental health, substance use, or developmental disabilities field which includes experience in data management activities, reporting or use of databases, - OR Associate’s degree in a Mathematical, Technology, Business, Healthcare Administration, Human Service field, or other data related degree program and four (4) years of experience in the behavioral/mental health, substance use, or developmental disabilities field which includes experience in data management activities, reporting or use of databases, - OR Bachelor’s degree in a Mathematical, Technology, Business, Healthcare Administration, Human Service field, or other data related degree program and two (2) years of experience in the behavioral/mental health, substance use, or developmental disabilities field which includes experience in data management activities, reporting or use of databases, - OR Equivalent combination of higher education/experience. - Must have a valid driver’s license - Must reside in North Carolina - Must be able to travel within catchment as required. Benefits - Typical working hours: 8:30 am – 5:00 pm; flexible work schedules with some roles with management approval - Work-from-home options available for most positions - Health Insurance with no premium for employee coverage - Flexible Spending Accounts - 24 days of Paid Time Off (PTO) plus 12 paid holidays in your first year - NC Local Government Retirement Pension (defined-benefit plan) - 401k with 5% employer match and immediate vesting - Public Service Loan Forgiveness (PSLF) qualifying employer - Quarterly stipend for remote work supplies How to Apply To be considered, submit your application and resume through our ADP Career Center. Your resume must include: - Employer name, dates of service (month/year), average hours worked per week, and essential job duties - Education details (degree type, date awarded, institution, field of study) - Licensure/certification information, if applicable After submission, your resume will be reviewed to ensure it meets the essential criteria for the position. You’ll be notified by HR regarding your application status as appropriate. All applicants will receive a final update once the recruitment cycle closes. Join our Talent Community through ADP to stay informed about future opportunities. Be sure to keep your resume updated in your profile. Trillium Health Resources is an Equal Employment Opportunity (EEO) employer and a drug-free workplace. All candidates must pass a drug test as a condition of employment.

• Join Keypath Education as a Senior Data Engineer and play a pivotal role in shaping our data-driven future across the Asia-Pacific region • Collaborate closely with the APAC Data Engineering Manager and team to design and maintain critical data infrastructure and pipelines that power strategic insights and innovative solutions • As a technical expert, develop system integrations, build complex data models, and create semantic layers that transform raw data into actionable intelligence • Establish data engineering best practices and governance standards • Architect, design, and develop scalable and efficient data integration pipelines using Azure and Microsoft Fabric • Develop business-friendly data models using Kimball dimensional modelling techniques within Microsoft Fabric Lakehouse and Data Warehouse • Design and develop comprehensive Power BI solutions including advanced data models, interactive reports, data visualizations, and dashboards

Role Description Health-E Commerce is seeking a Data Engineer to drive the evolution of our modern data platform. As a key member of our centralized Data & Analytics team, you will oversee the design, development, and optimization of data pipelines and infrastructure that power analytics, reporting, and machine learning across the organization. Reporting directly to the Lead of Data Engineering, you will have a direct impact on day 1 for all of our major data pipelines supporting a broad array of use cases. You’ll collaborate closely with Analytics Engineers, Data Scientists, and cross-functional stakeholders in Marketing, Sales, Finance, and Product to ensure our data systems are scalable, reliable, and aligned with business goals. - Build and scale our data engineering stack, including ETL/ELT pipelines, transformation workflows, and compute infrastructure across cloud platforms. - Own the ingestion and integration of new data sources, ensuring they are modeled for downstream analytics, reporting, and machine learning use cases. - Partner with Analytics and Business teams to define requirements and deliver a robust internal data mart that supports self-service reporting and advanced analytics. - Collaborate with Data Science to deploy and maintain machine learning models in production, including MLOps, monitoring, and governance. - Implement and enforce data quality, observability, and governance standards across all pipelines and data assets. - Drive innovation and efficiency by identifying opportunities to improve data architecture, tooling, and team processes. - Support strategic initiatives through data-driven insights, ad hoc analysis, and cross-functional collaboration. Qualifications - Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field. - Minimum 1-4 years of relevant experience in data engineering, software engineering, or analytics. - Strong SQL and Python proficiency. - Experience working in cloud data platforms (e.g., Azure Synapse, Snowflake, BigQuery, Databricks, Microsoft Fabric). Azure data stack highly preferred. - Experience with analytics and BI platforms (PowerBI or similar). - Strong background in relational databases, ETL tools, scripting languages (Powershell or similar). - Proficiency with Git or other collaborative development workflows (e.g., pull requests, code reviews), working in an agile development environment. - Experience with orchestration tools like Apache Airflow, Prefect, or Azure Data Factory for managing complex data workflows preferred. - Demonstrated ability to build processes that support data transformation, structures, accuracy checking, and workload management. - Understanding of statistical data modeling and supporting infrastructure preferred. - Strong communication and stakeholder management skills, with the ability to translate business needs into technical solutions. - A passion for data, curiosity for solving complex problems, and a drive to create business impact through technology. - Experience in the e-commerce, marketing or digital health sectors is a big plus. Benefits - Compensation: $105,000 - 140,000. - Discretionary Annual Bonus Eligibility: Up to 10%. - Medical, Dental, Vision, and 401K with a company match. - Dependent Care, FSA & HSA accounts. - Paid Parental & Bonding Leave. - Flexible PTO & office closure on all major holidays. - Monthly wellness & internet reimbursements. - Professional development including certification support & leadership coaching. - Mental Health resources. - 100% remote within the United States. - Must be able to work EST hours.

• Build and maintain data infrastructure that enables the collection, storage, and retrieval of data; • Create new data flows by integrating our data sources and ensuring they are reliable and efficient; • Develop ETL pipelines, data warehousing, and data modeling to support business needs; • Ensure data quality monitoring, reliability, and lineage by developing processes and tools to identify and correct data quality issues; • Collaborate with other members of the Data & Analytics Team to optimize the data infrastructure and improve data governance; • Provide documentation and training to end-users on data sources, pipelines, and data quality procedures; • Stay current with the latest technologies and techniques related to data engineering, and identify opportunities to improve data infrastructure and analysis.