Job Summary At Fuze Health, we put patients first and tirelessly address the most pressing needs in healthcare. We empower millions to digitally connect with care providers, essential health resources and needed treatments – and enable care providers, employers, health plans and life sciences companies to meaningfully enhance quality, outcomes and value. We are dedicated to helping our partners evolve and modernize to meet emerging patient and marketplace needs. Fuze Health’s foundation is built upon the strategic combination of several proven, technology-powered innovators in the digital health, diagnostics, and pharmacy sectors. Our growing portfolio brings together the capabilities of industry leaders including LetsGetChecked, Truepill, and Alto Pharmacy, to create a distinctive, unified force in healthcare. Together, we have the shared vision, advanced capabilities and talented teams to deliver next-generation solutions that patients and healthcare partners need today and into the future. Job Description At Alto, we are transforming the pharmacy experience through intelligent, scalable technology. Data is foundational to how we serve patients, empower operators, and enable smarter decision-making across the business. As the Senior Manager, Data Engineering, you will lead the strategy, architecture, and execution of Alto’s data platform — ensuring that high-quality, trusted, and timely data fuels everything from analytics and operations to product innovation and machine learning. You will manage, build and lead a high-performing team responsible for designing resilient data pipelines, evolving our modern data stack, and establishing data engineering best practices. This role is equal parts technical leadership, organizational design, and cross-functional partnership — shaping how data is produced, governed, and consumed across a fast-growing, technology-driven healthcare organization. Job Description Key Responsibilities (see above) Leadership & Vision - Lead, mentor, and grow a team of Data Engineers, fostering a culture of ownership, technical excellence, and continuous improvement. - Define and execute the long-term vision for Alto’s data platform, ensuring alignment with company strategy and product roadmaps. - Partner with Product, Engineering, Data Science, Analytics, Finance, and Enterprise teams to prioritize and deliver high-impact data initiatives. - Establish clear career paths, performance standards, and hiring plans to scale the team thoughtfully and sustainably. - Build strong stakeholder trust by translating business needs into scalable data solutions. Data Platform & Architecture - Own the design and evolution of Alto’s data architecture, including ingestion, transformation, orchestration, storage, and serving layers. - Administer and maintain core platform tooling — including Fivetran, Airflow, dbt, Snowflake, and Looker — ensuring these systems operate as reliable, scalable, and secure infrastructure. - Provide a robust, well-governed platform foundation that enables Analytics to build and manage transformation logic within dbt, while enforcing standards for performance, testing, deployment workflows, access controls, and warehouse efficiency. - Ensure the underlying data platform reliably powers analytics, operational workflows, experimentation, and machine learning use cases — delivering trusted, well-documented, and production-grade data assets to both internal stakeholders and downstream systems. - Ensure the reliability, performance, and freshness of data pipelines through strong observability, lineage tracking, testing frameworks, and operational rigor. - Scale the platform to support increasing data volume, near-real-time use cases, and expanding business and regulatory complexity. Data Governance, Quality & Operational Excellence - Evolve and strengthen existing standards for data governance, access control, privacy, and compliance within a regulated healthcare environment. - Refine and operationalize SLAs and performance metrics for data pipelines and platform reliability, ensuring clear accountability and transparency. - Enhance and scale current data quality monitoring and incident management practices to improve resilience, observability, and response times. - Continuously optimize infrastructure performance and cost efficiency through thoughtful architectural improvements and warehouse tuning. Innovation & Cross-Functional Impact - Evaluate emerging technologies and evolve Alto’s data stack to support streaming, near-real-time analytics, and scalable AI workflows. - Enable robust experimentation and measurement by providing reliable, well-instrumented, and production-grade data pipelines that Analytics, Data Science, and Product teams can confidently build upon. - Collaborate closely with Data Science and Machine Learning teams to ensure the platform scales alongside growing model and feature complexity, providing the infrastructure, environment consistency, and operational guardrails necessary for reliable training and production inference. - Drive adoption of best-in-class tooling and practices that improve developer velocity and reduce operational toil. - Cultivate a culture where data is treated as a product — with clear ownership, discoverability, and accountability. Required Experience & Qualifications (see above) Minimum Qualifications: - Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field; advanced degree preferred. - 10+ years of experience in data engineering, platform engineering, or related data infrastructure roles. - 5+ years of experience leading and scaling high-performing technical teams. - Proven experience architecting, operating, and scaling modern cloud-based data platforms, including data ingestion, orchestration, cloud data warehouses, transformation frameworks, and semantic serving layers. - Strong expertise in data modeling principles, ELT architectures, and production-grade pipeline orchestration. - Hands-on experience with cloud environments (AWS, GCP, or Azure). - Proven track record owning platform reliability, including defining SLAs, implementing observability and data quality frameworks, and leading incident response and postmortems for production data systems. - Experience operating in high-growth, fast-paced technology organizations. - Strong communication skills with the ability to influence technical and non-technical stakeholders alike. Preferred Qualifications: - Experience building data platforms in healthcare, pharmacy, fintech, or other regulated industries. - Familiarity with HIPAA and healthcare data privacy standards. - Experience supporting machine learning pipelines, feature engineering workflows, or feature stores. - Experience with streaming architectures (e.g., Kafka, Kinesis, Pub/Sub) and real-time analytics use cases. - Exposure to experimentation platforms and product analytics ecosystems. - Strong SQL and programming proficiency (e.g., Python, Scala, or similar). - Experience implementing data contracts and data product frameworks across domain teams. Additional Information Additional Physical Job Requirements Physical requirements for this role include the ability to work at a computer terminal with monitor, keyboard and mouse for extended periods of time, stoop, bend, and reach for equipment and supplies, make frequent repetitive motions required to operate a computer that include the wrists, hands and fingers, and lift, carry, push, pull, and move light objects up to 20 pounds. The role also requires the ability to effectively communicate through verbal interactions, discern auditory information, and visually perceive details to perform essential job functions. Consistent with the Americans with Disabilities Act (ADA) and similar applicable state laws, it is Fuze Health’s policy to provide reasonable accommodation to enable qualified individuals with disabilities to perform essential job functions, unless such accommodation would cause an undue hardship. Salary and Benefits Salary Range: $180,000.00 - $225,000.00 Commission Eligible: No Travel: No - Required up to 0% of the time Location Requirement: Alto is limited to individuals residing in the following states: Arizona, Arkansas, California, Colorado, Florida, Kansas, Maryland, Missouri, Nevada, New Jersey, New York, North Carolina, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Washington (WA), and Wisconsin. Employment Authorization Requirement: Applicants must be authorized to work for any employer in the U.S. Benefits: Full-time employee benefits include: dental, vision, and multiple group medical plans to choose from, a 401(k) retirement savings plan, group life insurance, accidental death and dismemberment (AD&D) insurance, flexible spending account (FSA) and health savings account (HSA), commuter benefits, employer-paid short-term (STD) and long-term disability (LTD) insurance, and additional supplemental insurance plans (spouse life insurance, legal insurance, an employee assistance program, home health testing kits, and a fertility medication discount program). Employees are also provided flexible vacation time, accrued paid sick time, 10 paid holidays, (2 floating holidays for full time non-exempt employees) , and eight weeks of paid parental leave for eligible employees, additional paid weeks for the birthing parent, 4 weeks paid caregiver leave, and a Lifestyle Spending Account allowance each month. More Benefits Information Here: Fuze Health Benefits Site #LI-Remote Fuze Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, gender identity, sexual orientation, age, disability, veteran status, or any other legally protected basis. If you have a disability and require reasonable accommodation during any portion of the application or hiring process, please contact us at talent@fuzehealth.com. Fuze Health considers qualified applicants with arrest or conviction records for employment and conducts background checks consistent with applicable law, including the California, Los Angeles County, San Francisco, Philadelphia, and New York City Fair Chance laws. We are an E-Verify participating company. Fuze Health recruiters and hiring managers may use automated decision-making tools to assist with identifying candidates who match the stated job requirements, and to what extent. These tools are designed to help ensure fairness in all aspects of the hiring process by providing recruiters and hiring managers with data-backed insights based on information provided in your resume, including work experience, education, and other skills. If you have any questions or would like to request an alternative process, please contact us at talent@fuzehealth.com. To learn about Fuze Health’s privacy practices including compliance with applicable privacy laws, please click here.

Data Engineer At Storable, we're on a mission to power the future of storage. Our innovative platform helps businesses manage, track, and grow their self-storage operations, and we’re looking for a Data Engineer to join our data-driven team. Storable is committed to leveraging cutting-edge technologies to improve the efficiency, accessibility, and insights derived from data, empowering our team to make smarter decisions and foster impactful growth. As a Data Engineer, you will support the design, development, and maintenance of data pipelines and infrastructure. You will partner closely with senior data engineers, analytics teams, and cross-functional stakeholders to help ensure data is reliable, well-structured, and accessible for reporting and analytics use cases. Key Responsibilities Support Data Pipelines - Assist in building, maintaining, and optimizing scalable data pipelines - Support ingestion, transformation, and validation of structured and semi-structured data - Help monitor and troubleshoot pipeline performance issues ETL / ELT Development - Contribute to developing and maintaining ETL/ELT workflows - Write clean, maintainable transformation logic in SQL and/or Python - Ensure data is delivered accurately and on time to downstream systems Workflow Orchestration - Support workflow scheduling and monitoring using Apache Airflow - Troubleshoot task failures and assist in improving workflow reliability Query Engines & Processing Frameworks - Work with distributed processing frameworks such as Apache Spark - Support querying and data access using tools like Trino (Presto) and AWS services Data Quality & Governance - Help implement data validation checks and monitoring - Support data documentation and adherence to governance best practices - Assist in maintaining consistency across datasets Cross-Functional Collaboration - Partner with analytics, product, and engineering teams to understand data needs - Translate business requirements into technical data solutions with guidance - Contribute to improving data accessibility and usability Infrastructure & Optimization - Work within AWS-based data environments (S3, Glue, Athena, Redshift, etc.) - Support performance tuning and cost optimization efforts - Follow best practices in data modeling and schema design Qualifications Experience - 1–3 years of experience in data engineering, analytics engineering, or related field - Experience building or supporting data pipelines in cloud environments - Exposure to distributed data processing tools (Spark preferred) Technical Skills - Proficiency in SQL - Experience with Python or similar language for data processing - Familiarity with Apache Airflow (or other orchestration tools) - Exposure to AWS services such as S3, Redshift, Glue, Athena, or Lambda - Basic understanding of data modeling and warehousing concepts Data Fundamentals - Understanding of ETL/ELT processes - Familiarity with data quality principles - Exposure to schema design and analytical datasets Soft Skills - Strong problem-solving mindset - Clear written and verbal communication skills - Eagerness to learn and grow within a collaborative environment - Ability to take feedback and iterate quickly Bonus Points - Exposure to Apache Iceberg or modern table formats - Experience working with BI tools such as Looker or Tableau - Experience in a SaaS or product-led environment All applicants must be currently authorized to work in the United States on a full-time basis. Storable is a fully distributed company, but is currently only registered for employment in certain states. To be eligible for employment, you must reside in the following states: AL, AZ, CA, CO, CT, FL, GA, ID, IL, IN, IA, KS, LA, MD, MA, MI, MN, MO, MS, NC, NE, NJ, NV, NY, OH, OK, OR, PA, SC, TN, TX, UT, VA, WA, WI, WY. About Us: At Storable, we’re redefining property management for specialty real estate. Tailored for the self-storage, marine, and RV & camping industries, we seamlessly integrate management software with marketplace listings, websites, CRM, insurance, payments and more. Dedicated to empowering owners and operators, Storable helps you win more every day. Explore our platform solutions at www.storable.com. At the heart of Storable is our “Win More” culture, which reflects our commitment to delivering exceptional value to our customers and fostering the personal and professional growth of our employees. We strive to empower our team and our customers to achieve and win more than ever before. Benefits and Perks: - Generous health coverage for you and your family, including fully paid short- and long-term disability coverage and two-times base salary life insurance. - 401(k) match after 60 days, 100% vested after 1 year. - Employer contribution to your HSA, plus an HRA to help offset your deductible. - Instant access to flexible vacation. We trust you, so we have a ‘take what you need’ vacation policy. - Be More – company rewards and recognition that add up and can be redeemed for personalized gifts and experiences! Storriors have been able to enroll in SCUBA certification classes, travel overseas, and redo their back patio, among many other things. - 8 hours of Volunteer Time Off each year and the opportunity to get active in the community by joining one of our offsite volunteer and community service events. - 8 hours of Rest, Relax, Recharge time to care for your mental health. - Access a range of mental well-being resources for yourself and your dependents, including counseling services, stress management programs, and mindfulness workshops - Fully paid parental leave: 12 and 6 weeks for primary and secondary caregivers, respectively. - ’Paw’ternity Leave and Pet Bereavement - we understand that pets are a part of the family and have generous time-off policies, which honor that commitment. - Caregiver Leave: four weeks of fully paid time away from work to care for aging dependents or family members, if needed. - $50 monthly home data stipend, plus a home office sign-on bonus of $250. - Fertility care support options to help in your journey towards parenthood. - Access to financial experts to help you make informed decisions and achieve your financial goals. - Direct Student Loan Payment Program, some qualifications and eligibility rules apply. Storable is committed to providing equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Storable will provide reasonable accommodations for qualified individuals with disabilities. Important Notice: To protect yourself from fraudulent activities, please consider the following: - Official Communication: All genuine communication from Storable will come from official email addresses, ending in “@storable.com.” Be cautious of any communication that doesn’t match this criteria. - No Unsolicited Offers: We do not extend job offers without a formal interview process. If you receive an unsolicited job offer claiming to be from Storable or any of its representatives, it’s a red flag. - Verification: If you’re uncertain about the legitimacy of any job offer or communication claiming to be from Storable, please contact our HR department directly at POps@storable.com for verification. Your security and trust are paramount to us. If you suspect you’ve been contacted by someone falsely claiming to be from Storable or using our company's name for any dubious purpose, please immediately report the incident to POps@storable.com

• Build end-to-end implementation of multiple ETL/ELT pipelines, demonstrating efficient data transformation and ingest patterns to move raw data from data producers to an enterprise data ecosystem, with a focus on performance and reliability • Assess and understand the ETL jobs, workflows, BI tools, and reports • Address technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products • Experience in crafting database / data warehouse solutions in the cloud (Preferably AWS, Azure, Alternatively GCP) • Key must have skill sets – Python, SQL, Databricks, AWS Data Services • Experience with message queuing, stream processing, and highly scalable ‘big data’ data stores • Experience manipulating, processing, and extracting value from large, disconnected datasets • Experience manipulating structured and unstructured data for analysis • Experience with data modeling tools and processes • Experience aggregating and transforming data from multiple datasets to create data products • Support an Agile software development lifecycle

• Architect and implement modern, scalable ETL/ELT pipelines using modern AWS-native services to process insurance claims data. • Build resilient, high-throughput data pipelines with an emphasis on quality and reliability to drive consistent, accurate data across the enterprise. • Ingest and transform diverse data sources, structured, semi-structured and unstructured, into enterprise-level ETL/ELT solutions. • Design and implement custom algorithms to solve complex data challenges and unlock new insights. • Collaborate cross-functionally with Data Scientists, Analysts, and Product teams to deliver business-aligned solutions. • Ensure pipeline reliability, performance, and SLA adherence. • Streamline operations through automation, CI/CD, infrastructure-as-code, and configuration management tools.