EMPLOYER IS A CONTRACTOR FOR THE U.S. GOVERNMENT. THIS POSITION WILL REQUIRE U.S. CITIZENSHIP. Responsibilities: - Designing data workflows, pipelines, and pathways to support ETL/ELT, while ensuring data-quality and exchange of sensitive information across AWS cloud and on-prem environments. - Implementing systems engineering principles to ensure the reliability, scalability, and maintainability of data layer systems, including backup and recovery strategies - Architecting, deploying, and operating data streaming technologies (Kafka, Redpanda, Kinesis, etc ) on Kubernetes with an emphasis on declarative definitions to reduce complexity in day-2 operations - Working with a platform team to implement best practices for configuration management, security, and performance optimization within Kubernetes and AWS environments - Working with a platform team to automate infrastructure provisioning, monitoring, and scaling using tools such as Terraform working with cybersecurity SMEs to incorporate best practices and techniques to defend our data layer against potential threats - Ensuring that our data layer systems are compliant with industry and DoD regulations, standards, and best-practices - Staying up-to-date with industry trends and emerging technologies related to Kubernetes, containerization, and data engineering Travel Expectations/Requirements: 6-10 times per year The listed responsibilities are not exhaustive and additional responsibilities may be assigned based on the evolving needs of the organization. We are seeking a dynamic individual who is able to adapt and take on new responsibilities as they arise. *Preferred Experience and Qualifications: - Demonstrated experience (minimum 5 years) in building and maintaining production data pipelines, databases, and data exchange services on Kubernetes Experience in designing, deploying, and operating Kafka / Redpanda data streaming solutions on Kubernetes - Experience in creating data pipelines from scratch with the ability to process data in large volumes and manage data stores - Experience with containerization technologies such as Docker and container orchestration systems like Kubernetes - Knowledge of systems engineering principles to ensure the reliability, scalability, and maintainability of data layer systems Familiarity with API Security, Container Security, AWS Cloud Security Familiarity with cybersecurity principles and best practices for securing data layer systems - Excellent problem-solving skills, with the ability to work independently and as part of a team - Excellent communication skills, with the ability to convey complex ideas to both technical and non-technical team members - The selected candidate will be subject to a pre-employment background check ("CBI") and must be able to obtain and maintain a Secret-level DoD security clearance - Experience with machine learning and generative AI models Full compensation packages are based on candidate experience. Compensation ranges are established using national benchmarking data and apply across all geographic locations within the United States. Remote - USA $124,250—$166,750 USD Who We Are Defense Unicorns delivers mission value by streamlining software delivery so our customers can focus on the most important challenges. We share a vision of freedom and security for the advancement of progress and innovation. Our commitment to this vision, and to our mission-driven customers, means a commitment to speed, user experience and optionality, without compromising security. Our team is composed of innovators, software engineers, and veterans with decades of experience delivering technology programs across the federal market. What We Do We create and deliver secure solutions for continuous software integration and delivery. Defense Unicorns consolidates the best practices for security pipelines, testing, and deployment automation in order to meet the high security requirements valued by mission owners. Our solutions are agnostic by design and we believe that growing a robust ecosystem of secure, cloud-native software solutions can help enterprise customers inside and outside the federal market buy and integrate software more easily. Who We Serve Defense Unicorns’ customers are mission-focused leaders across public and private enterprises. We proudly support defense and civil agencies across the U.S. government and we work closely with the creators of leading-edge software solutions to deliver value to the mission-owner by improving the security and consumability of commercial software products. What We Work On - Kubernetes - Cloud Environments (AWS/GCP and Azure) - Infrastructure-as-code (like Terraform/Pulumi) - Continuous Delivery and automation tooling - GitOps - Containers - CNCF projects and open source products and packages - Helm/Kustomize-Value Stream Mapping - Building and improving security delivery - Building Kubernetes and cloud native applications Benefits Our Unicorns Enjoy Health: - Medical/Dental/Vision - Premiums are 100% Company Paid - Health Reimbursement Account - Life Insurance - Disability Insurance Financial: - 401k Retirement Plan - Company Stock Options - Home Office Budget Leave: - We offer all full-time Unicorns Flexible Time Off (FTO) plus all Federal Holidays, one week for Thanksgiving, and two weeks for Christmas and New Year’s - Paid Parental Leave Learning: - Reimbursement for approved trainings/subscriptions - Conferences (travel, lodging, and fees) Don’t have all the preferred experience or qualifications? Studies show that underrepresented groups like women and people of color are less likely to apply to jobs if they don't meet every requirement listed. At Defense Unicorns, we're committed to diversity. If you're enthusiastic about the role but don't match every criteria, we encourage you to apply. You could be the perfect fit for this or another role! Defense Unicorns is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law. CCPA DISCLOSURE

• Implement data extraction processes from the company's various sources, defining architecture and storage mechanisms. • Execute, manage and maintain tools for ingesting, processing, and modeling large volumes of data. • Identify and implement improvements in internal processes, data platforms, and storage systems. • Design, establish, and document methodologies for data usage, publishing, and handling. • Capture essential data to support different areas with relevant performance information and to aid decision-making. • Ensure the functionality and operational continuity of the data systems and platforms under your responsibility. • Contribute improvements and recommendations related to data quality and data flow between teams. • Perform maintenance on data processing systems.

• Design, build, and maintain robust data pipelines and ETL processes to ingest, transform, and load data into the data warehouse. • Develop and optimize SQL scripts and Python-based data processing jobs (PySpark, Pandas) for large-scale workflows. • Implement automated data quality checks and validation processes to ensure data integrity and accuracy. • Monitor system performance, troubleshoot issues, and optimize pipelines for reliability and scalability. • Collaborate with product managers, analysts, and stakeholders to gather requirements and deliver data solutions that meet business needs. • Create and maintain design documents and technical documentation for data pipelines and systems. • Participate in design and code reviews to maintain high engineering standards. • Apply data modeling and schema design techniques to support efficient, scalable storage and querying. • Contribute to CI/CD pipeline usage and integration to deploy and manage data processing jobs. • Follow SDLC practices and work as an active member of a development team, modifying ETL tools and workflows as needed.

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.