Voted Great Place to Work for 5 years in a row! We are actively looking for Remote Certified Data Entry Pharmacy Technician - multiple openings! *Candidates must have two or more years of CPhT experience with a LTC pharmacy within data entry or medical records. Currently, we are only considering candidates who are local to the Greater Chicago area OR have LTC pharmacy experience and are located in one of the following states: CO, FL, IL, IN, MI, MN, NC, NE, NV, OH, PA, TX, WA, WI Shift: Monday-Friday 3 PM - 11:30 PM with rotating Saturday work Compensation: $19-$24/hr + full, comprehensive benefits, including medical, dental, and vision insurance plans, 401k plan with match, PTO + company holidays, and many other benefits About Us: Residential care community operators are concerned about resident safety, caregiver efficiency, regulatory compliance, and controlling their liability. Our passion at MMP is to improve the quality of life for residents and simplify pharmacy for caregivers. What makes MMP distinct is our laser focus on senior living, our simple and scalable process, and our intra-operable capabilities. This unique combination allows us to help senior living providers manage these risks while improving resident care. We are an independently owned Long Term Care Pharmacy, located in the southwest suburb of Crestwood, IL, about 20 miles from downtown Chicago. Inc. Magazine recognized MMP in Inc.5000 as one of the 5,000 fastest-growing privately held companies in the U.S. Our team is dedicated to excellence, and our goal is to be recognized as the best-in-class pharmacy provider for residential care communities. Data Entry Technician: MMP’s workflow starts in the data entry department and the quality of information being entered is of utmost importance! The Data Entry Technician is responsible for entering prescriptions into MMP’s FrameworkLTC and DocuTrack pharmacy systems, with attention to both accuracy and speed. The Data Entry Technician will also provide exemplary community and resident support via telephone and email. Minimum Requirements: - Licensed Pharmacy Technician in Illinois - Nationally Certified with PTCB or NHA - 2+ years of pharmacy technician experience - Minimum of two year of experience in Pharmacy Data Entry or Medical Record Management in a long-term or managed care setting - High school diploma or equivalent - FrameworkLTC / DocuTrack knowledge a plus - Timely and accurate data entry skills - Professional demeanor and appearance with excellent customer service skills - Exceptional oral, written, and listening skills, ability to effectively communicate with a variety of stakeholders - Highly organized and attentive to detail - Able to multi-task and work under deadlines - Motivated, punctual and reliable team member Our Core Values - this is who we are, and who we are looking for to add to our team! - Seek first to understand – must be intellectually curious, an active learner and listener, an innovative and resourceful problem solver. - Always do the right thing - Customer-centric, mature, caring, and professional adult, who will always do right and make it right. - Every detail matters- Meticulous attention to detail is a non-negotiable! - If it were easy, everyone would do it - We are looking for an organized, resilient, determined, and reliable “doer” that follows through with deliverables, seeks to exceed expectations, and always completes assigned tasks – always. - Live, Learn, Laugh, Love – We are seeking authentic individuals with good intentions, a positive and friendly disposition, who engage their soul, body, and mind with what makes them happy, healthy, and content. ***If you would like your application to be expedited, submit your resume and then consider taking our required assessment: https://apply.wonscore.io/59S3YJ/Medication-Management-Partners . It takes about 30-45 minutes to complete. Tip - the cognitive portion is a 50-question, multiple-choice, 12-minute assessment, and you will want to try to get through all 50 questions if you can. You do not get negative points for wrong answers. Opportunities associated with the position: - Work up to 40 hours a week - Set schedule - Competitive compensation and benefit package - Fun atmosphere - Potential for growth within the company; defined career path - Pay between $19/hr - 24/hr (based on experience) ​​​​​​Equal Opportunity Statement: Decisions and criteria governing the employment relationship with all employees at Medication Management Partners are made in a non-discriminatory manner, without regard to race, color, creed, religion, national origin, sex, marital status, pregnancy, disability, sexual orientation, gender expression, veteran status, age, FMLA status, or any other factor determined to be unlawful by federal, state or local statutes.' At Medication Management Partners, we are proud to offer a comprehensive benefits package designed to support our employees' well-being and work-life balance. Our benefits include: - Medical, dental, and vision insurance plans - Flexible Spending Account (FSA) and Health Savings Account (HSA) options - Employee Assistance Program (EAP) for mental health support - Competitive compensation - 401(k) retirement plan with employer match - Life insurance and short-term/long-term disability coverage - Paid time off (PTO) - Paid holidays - Parental leave and bereavement leave

• Lead the optimization and scalability of data delivery pipelines, ensuring performance and reliability for cross-functional stakeholders. • Architect, build, and maintain robust, high-throughput data pipelines and infrastructure to support advanced analytics and machine learning. • Partner with data architects, data scientists, and analysts to design solutions that meet evolving data requirements and business objectives. • Establish best practices for data quality, governance, security, and compliance; implement automated frameworks for cleaning, validation, correction, and enrichment. • Drive continuous improvement in data engineering processes by identifying bottlenecks, reducing manual effort through automation, and advancing scalability standards. • Mentor junior engineers, provide technical guidance, and influence broader data platform strategy.

• Oversee data engineering, reporting, development and delivery of hosted and cloud-based solutions which are secure, performant and scalable. • Collaborate with developers, analysts, and stakeholders to prepare and deliver complex data sets that meet business needs. • Participate in Information Technology strategic, budgeting and project planning functions. • Defines standards, procedures, and methodologies to ensure the security, integrity, resiliency, scalability and performance of enterprise data resources. • Lead DE support, maintenance and change management activities including service levels, efficacy reviews and task/resource scheduling. • Evaluate and adopt third party tools, add-ons, and interfaces that strengthen our product suite or operational efficiency. • Stay abreast of evolving technology, standards and engineering practices that embrace security, quality and automation. • Participate in proactive assessments, lifecycle and capacity management/planning, business continuity and disaster recovery to maintain service levels. • Participate in maintaining system standards, information security, Incident Response and Disaster Recovery plans that adhere to regulatory requirements working within industry standards and the enterprise security posture.

Company Description Nexthink is the leader in digital employee experience management software. The company provides IT leaders with unprecedented insight allowing them to see, diagnose and fix issues at scale impacting employees anywhere, with any application or network, before employees notice the issue. As the first solution to allow IT to progress from reactive problem solving to proactive optimization, Nexthink enables its more than 1,300 customersto provide better digital experiences to more than 18 million employees. Dual headquartered in Lausanne, Switzerland and Boston, Massachusetts, Nexthink has 9 offices worldwide. Job Description The Product Intelligence team serves a critical role by providing business intelligence to the organization: we synthesize data sources across the company, delivering product usage and business insights that directly shape product strategy and decision-making. We are looking for a Senior Data Engineering (Tech Lead) to lead our team of data engineers and to bring your experience and vision in data warehouse design, data modeling, and data visualization. We are seeking an individual with a strong data background but also an AI-first mentality, who can drive our current initiatives to leverage AI for accelerating modeling and dashboarding tasks, as well as exposing our telemetry data to stakeholders across the company in the form of an AI agent and MCP. What you'll do - Partner with the Product Manager to shape the roadmap, refine scope, and define clear, actionable acceptance criteria. - Own the technical architecture for data warehousing, data modeling, and data access patterns. - Lead the team technically to design, implement, deliver, and validate scalable data pipelines and reporting solutions. - Drive the design and evolution of the analytics layer, including semantic modeling and dashboarding within BI tools. - Define and implement an AI-first approach to data, including AI-assisted workflows for modeling, analysis, and dashboard creation. - Architect and deliver an AI-powered interface (agent) that enables stakeholders to access and explore telemetry data in a self-service manner. - Enable integration of telemetry insights into internal tools and workflows by providing and maintaining supporting capabilities (e.g., MCP or equivalent interfaces). - Establish data engineering standards, best practices, and measurable quality indicators to ensure high-quality, maintainable code. - Ensure scalability, reliability, and performance of data platforms, pipelines, and analytics workloads. - Mentor and support data engineers through technical guidance, code reviews, and knowledge sharing. - Promote an agile, iterative engineering culture and actively contribute to team ceremonies. Qualifications Data Engineering Experience - Master's degree (or equivalent) in Computer Science, Engineering, or a related field. - 7+ years of experience as a Data Engineer, including at least 1 year in a Tech Lead or similar leadership role. - Strong expertise in database design, data modeling, and handling both structured and unstructured data. - Strong system design and architectural skills, with the ability to design scalable data platforms. - Proficiency in SQL and Python, with solid experience building and maintaining ETL/ELT pipelines. - Familiarity with modern data stack tools such as dbt, AWS Lambda, Step Functions, Glue, Athena, Redshift, or similar. - Exposure to telemetry data systems and large-scale product analytics. - Experience building internal data platforms or self-service analytics solutions. - Hands-on experience with the AWS cloud platform. - Experience with data visualization tools such as Power BI, QuickSight, Tableau, or similar. - Practical knowledge of DevOps practices, CI/CD pipelines, and tools such as Git. - Experience with containerization and infrastructure tools (e.g., Docker, Terraform, Jenkins). - Proven ability to own projects end-to-end and operate with a high level of autonomy. - Excellent communication and collaboration skills, with fluency in English. AI & Advanced Capabilities - Experience building and deploying AI-powered data systems, including Retrieval-Augmented Generation (RAG) and LLM-based applications. - Familiarity with LLM frameworks (e.g., LangChain, LlamaIndex) and integrating LLM APIs into production workflows. - Experience designing AI agents or intelligent data interfaces (e.g., chat-to-data, NL-to-SQL). - Understanding of semantic data modeling to enable natural language interaction with structured data. - Ability to evaluate, monitor, and scale AI systems, with strong architectural judgment for integrating AI into data platforms. Additional Information We are the pioneers and trailblazers of a global IT Market Category (DEX) that is shaping the future of how the world works, giving our customers' IT Teams total digital visibility across their enterprise. Our innovative solutions integrate real-time analytics, automation, and employee feedback across all endpoints. This enables our IT teams to solve complex technical challenges, create ever more productive workplaces, and deliver happy, satisfied employees in the digital workplace.