Role Description This role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home. HPE is seeking a Technical Marketing Engineer (TME) to join our Data Center Networking organization, supporting Apstra, HPE's industry-leading intent-based data center automation platform. Apstra simplifies the design, deployment, and lifecycle management of modern data center networks by allowing organizations to define their desired network intent while automating configuration, validation, and continuous operations. The platform enables customers to build highly reliable, scalable, and automated data center networks with confidence. As a Technical Marketing Engineer, you will bridge the gap between Engineering, Product Management, Marketing, and the Field. This is a highly visible role that combines deep technical expertise with exceptional communication and content development skills. You'll create compelling technical content, develop demonstrations, deliver presentations, and enable customers, partners, and field teams to successfully position and adopt Apstra. If you enjoy explaining complex technologies, building technical content, and influencing how innovative products are brought to market, this role offers an exciting opportunity to make a significant impact. Key Responsibilities - Develop technical enablement content, including presentations, solution guides, white papers, workshops, labs, and training materials. - Design, build, and maintain product demonstrations that showcase customer challenges, technical capabilities, and business outcomes. - Support field sales, systems engineering, and channel teams by providing technical expertise and creating customer-facing content. - Deliver presentations at customer meetings, internal enablement sessions, partner events, and industry conferences. - Collaborate closely with Product Management, Engineering, Marketing, and regional field organizations to support product launches and strategic initiatives. - Stay current on emerging technologies and industry trends in data center networking, automation, AI, and cloud infrastructure. - Translate complex technical concepts into clear, compelling messaging for technical and executive audiences. Qualifications - Successful candidates are naturally curious, highly collaborative, and passionate about both technology and communication. - Explains complex technical concepts clearly to audiences with varying levels of technical expertise. - Enjoys creating technical content, demos, and tools that solve real customer and field challenges. - Has a genuine passion for networking technologies and continuously expands your technical knowledge. - Is comfortable presenting to customers, partners, executives, and technical audiences. - Can manage multiple priorities independently while delivering high-quality work. - Brings thoughtful perspectives backed by technical expertise and data. - Is interested in technical marketing and enjoys helping shape product positioning and technical storytelling. Requirements - Bachelor's, Master's, or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field. - 8+ years of experience in Technical Marketing Engineering, Systems Engineering, Solutions Architecture, Technical Consulting, or a related customer-facing technical role. - Strong knowledge of modern data center networking technologies, including: - IP Fabrics - Spine-Leaf Architectures - BGP - EVPN/VXLAN - Hands-on experience with network automation using APIs, Python, Ansible, Terraform, or similar automation frameworks. - Experience presenting complex technical solutions to customers, partners, or field organizations. - Proven ability to build engaging product demonstrations that clearly communicate customer value and business outcomes. - Experience creating high-quality technical content, including presentations, white papers, training materials, solution guides, and technical documentation. - Excellent written and verbal communication skills. - Strong presentation skills with experience delivering technical content at customer meetings, conferences, workshops, or internal events. - Ability to develop compelling technical narratives that clearly communicate customer challenges, solutions, and business value. - Experience supporting enterprise sales organizations through technical enablement, customer presentations, solution development, or RFP responses. - Understanding of enterprise technology sales cycles and customer buying processes. - Ability to effectively prioritize multiple field requests while balancing strategic initiatives and business priorities. Preferred Qualifications - Experience with HPE Apstra or other intent-based networking platforms. - Knowledge of intent-based networking, model-driven automation, or software-defined networking technologies. - Experience with AI-assisted networking, agentic AI, or large language model (LLM) applications. - Python programming or software development experience. - Experience building automation tools, APIs, proof-of-concepts, or interactive demonstrations. - Familiarity with sales enablement platforms or content management systems. - Industry certifications such as JNCIA, JNCIS, JNCIP-DC, CCNP, CCIE, or equivalent data center networking certifications. Benefits - Health & Wellbeing: We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. - Personal & Professional Development: We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division. - Unconditional Inclusion: We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Role Description The Senior Data Engineer will design, build and manage data pipelines that power applications and drive business decisions. - Design, develop, and maintain scalable data pipelines to ingest, process, and transform data from various sales and marketing systems such as Salesforce, Pardot, and Adobe Analytics into the enterprise data warehouse. - Conduct business and systems analysis, design, implementation, and testing of data solutions to meet and exceed the expectations of our business partners and regulators. - Self-manage projects, participate in strategy and architecture reviews, and help shape the direction of data management within the organization. - Ensure data quality, integrity, and consistency by implementing data validation and cleansing processes. - Develop strong domain expertise and lead all aspects of the SLAs for those data pipelines. - Collaborate with various teams, including data scientists, analysts, and business partners, to understand data requirements and deliver high-quality data solutions. - Optimize and tune data pipelines for performance, scalability, and consistency with recommended design patterns. - Monitor and address data pipeline issues and collaborate with our support teams to ensure timely and accurate data delivery. - Stay up to date with the latest industry trends in data engineering and financial services, following standard methodologies. Qualifications - Bachelor's degree in computer science, information technology, or related field. - Eight (8) years of progressively more responsible experience as a software engineer with a focus on data. Requirements - Expertise to efficiently extract data from databases, CRM systems, and APIs to build maintainable and supportable ETL code using Informatica gained through eight (8) years of work experience. - Ability to extract data from multiple data sources using Python gained through three (3) years of work experience. - Expertise in SQL for ETL and data warehousing applications gained through eight (8) years of work experience. - Proficiency with data warehousing and financial datasets gained through five (5) years of work experience. - Ability to architect and design data pipeline and data warehouse solutions for the whole software development life cycle gained through five (5) years of work experience. - Ability to develop solutions on AWS or other public cloud services gained through five (5) years of work experience. Benefits - Expected annual base salary for this Boston, MA, based position is $185,000 - $195,000. - Base pay will be determined on an individualized basis and is only part of the total compensation package, which may also include other Natixis sponsored benefit programs. - 100% Telecommuting is available for this position from anywhere in the U.S. - This position is eligible for Natixis’ Employee Referral Program.

• Design and implement the data architecture, ensuring scalability, flexibility, and efficiency using pipeline authoring tools like Metaflow and large-scale data processing technologies like Spark. • Define and extend our internal standards for style, maintenance, and best practices for a high-scale data platform. • Collaborate with researchers and other stakeholders to understand their data needs including model training and production monitoring systems and develop solutions that meet those requirements. • Take ownership of key data engineering projects and work independently to design, develop, and maintain high-quality data solutions. • Ensure data quality, integrity, and security by implementing robust data validation, monitoring, and access controls. • Evaluate and recommend data technologies and tools to improve the efficiency and effectiveness of the data engineering process. • Continuously monitor, maintain, and improve the performance and stability of the data infrastructure.

Role Description This role is expected to work Monday through Friday from 9:00 AM Pacific to 6:00 PM Pacific. At Cotiviti, we are custodians of data for our clients. Using their technical experience in ETL processes, Data Engineers ensure operational functions are occurring as expected. This includes but is not limited to managing data implementations, data production, data quality, and data security. - Oversee ETL processes to ensure their success, providing accurate and timely data across various products to support the company's revenue generation. - Maintain data pipelines running on proprietary big data processing platform and provide support to ensure data delivery SLAs are met. - Maintain data engineering processes using tools including T-SQL, Spark, Scala, and shell scripting, focused on data ingestion for healthcare data management, data validation, statistical report generation, and program validation. - Develop, support, and improve scalable and efficient data ingestion processes and techniques aimed at enhancing process efficiencies and optimizing query performance for proprietary data applications and systems. - Implement and perform data validation and quality checks to maintain high data integrity. - Perform troubleshooting, data analysis, data mining, investigations, and identify root causes of issues using cutting-edge data analysis tools in a fast-paced environment. - Collaborate with stakeholders to understand data requirements and deliver high-quality data solutions. - Work with Technical Operations to troubleshoot complex database issues related to the entire environment including OS, storage, and servers. - Provide off-hours support to resolve production issues when necessary. - Develop data transformation specifications to convert source data to be loaded into target data warehouse tables using SQL and other Data Integration/ETL tools. - Support the implementation of data governance policies and security measures to protect sensitive information. - Create and maintain dashboards as needed. - Participate in meetings with clients and/or stakeholders. - Complete individual productivity tracking. - Complete task assignments using department ticketing system within assigned deadline. - Achieve organizational and individual goals as identified in performance reviews and goal setting exercises. - Complete all special projects and other duties as assigned. - Must be able to perform duties with or without reasonable accommodation. Qualifications - Bachelor’s degree in Computer Science, Information Technology or equivalent work experience. - 2+ years of working knowledge of RDBMS (Oracle, MS SQL, Vertica, etc.) and experience using SQL, PL/SQL or other data integration/ETL tools. - 2+ years of experience in data engineering, data analysis, or a related field with a strong track record of building and managing data pipelines. - 2-4 years’ experience with data aggregation, standardization, linking, quality check mechanisms, and reporting. - 2-4 years’ experience with big data technologies like Hadoop and Spark. - Proficient and experienced in analyzing, designing, and developing solutions and strategies involving relational databases (e.g., Oracle, Vertica, SQL Server), ETL tools (e.g., SSIS, ODI, Informatica), and data warehousing concepts. - Solid understanding of Linux environments; strong knowledge of shell scripting and file systems. - Knowledge of US healthcare data, preferably in data operations role, is a plus. - Ability to analyze data with a high level of detailed accuracy, identify root causes of issues, and demonstrate problem-solving skills to troubleshoot data-related issues. - Experience in coding principles and the ability to follow best practices for developing and deploying code for data manipulation and automation. - Experience in at least one programming language such as Python, Java, Scala or Powershell. - Knowledge of data governance principles, data quality, and data lifecycle management a plus. - Proficient in Microsoft Office Suite applications PowerPoint, Word, Excel and Outlook. - Flexible work schedule. - Experience with project management tools like JIRA. - Strong analytical skills. - Quick learner, energetic and flexible. - Excellent verbal, listening and written communication skills. - Ability to multitask and prioritize projects to meet scheduled deadlines and tight turnaround times. Requirements - Exceptional communication, problem-solving, and leadership skills. - Advanced analysis, problem-resolution, judgment, and decision-making capabilities. - Ability to prioritize and execute complex tasks in a high-pressure environment independently. - Strong results orientation, initiative, attention to detail, and customer service focus. - Expert time management skills, balancing daily operations, projects, and mentorship. - Ability to independently prioritize, re-prioritize, and manage multiple complex tasks. Physical Requirements and Working Conditions - Remaining in a stationary position, often standing or sitting for prolonged periods. - Repeating motions that may include the wrists, hands and/or fingers. - Must be able to provide high-speed internet access/connectivity and office setup and maintenance. - Must be able to provide a dedicated, secure work area. - No adverse environmental conditions expected. Benefits - Base compensation ranges from $80,000 to $112,000 per year. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. - Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage. - 401(k) savings plans. - Paid family leave. - 9 paid holidays per year. - 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. Company Description This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change. Date of Posting: 5/28/2026. We anticipate that the application window will close on 7/28/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected. Since this job will be based remotely, all interviews will be conducted virtually. #LI-REMOTE #LI-AK1 #junior