<p><span style="font-weight: 400; font-family: helvetica, arial, sans-serif; font-size: 12pt;">At Talkspace, we are committed to fostering a diverse, equitable, inclusive, and belonging-centered workplace where everyone can thrive while making a difference in mental health. Want to help over two million people receive quality mental healthcare? Come join our mission of getting therapy in the hands of everyone!<br></span></p> <p><span style="font-weight: 400; font-family: helvetica, arial, sans-serif; font-size: 12pt;">We are looking for a <strong>Senior Data Engineer</strong> to join our Data Science team. The Senior Data Engineer will lead the design and development of scalable, high-performance data architectures and models for both batch and streaming data processing. This person will define and execute a strategic Data Engineering Roadmap that maximizes the value of the organization's data assets and ensures alignment with long-term business goals. This involves managing ETL/ELT processes, optimizing database systems for performance and scalability, and driving continuous improvement in data engineering workflows. The Senior Data Engineer also collaborates with cross-functional teams to ensure that data solutions meet business needs and support data-driven decision-making across the organization.</span></p> <p><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><em>T<strong style="font-weight: 400;">his position is EST-based. Talkspace is headquartered in NYC.</strong></em></span></p> <p><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><strong>What You’ll Do</strong></span></p> <ul> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-size: 12pt;"><strong>Data Architecture and Modeling</strong></span><br> <ul> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-size: 12pt;">Lead the design, development, and maintenance of scalable and high-performance data architectures and models that support both batch and streaming data processing.</span></li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-size: 12pt;">Define and drive the execution of a strategic Data Engineering Roadmap that unlocks the full potential of the organization's data assets, ensuring alignment with long-term business objectives.</span></li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-size: 12pt;">Own, enhance, and evolve critical datasets, including high-leverage streaming and batch data pipelines, along with the development of advanced data discovery, search experiences, and enterprise-wide reporting and data visualization tools.</span></li> </ul> </li> <li style="font-size: 12pt;"><span style="font-size: 12pt;"><strong>Database Processing and Management</strong></span><br> <ul> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-size: 12pt;">Oversee complex data extraction, transformation, and loading (ETL/ELT) processes from diverse sources, driving critical analyses, manipulating large datasets.</span></li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-size: 12pt;">Spearhead the administration, tuning, and optimization of database systems to ensure robust performance, reliability, and scalability, with a focus on both existing and emerging data technologies</span></li> </ul> </li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-size: 12pt;"><strong>Continuous Improvement</strong></span> <ul> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-size: 12pt;">Lead efforts to identify inefficiencies and potential areas for optimization in current data engineering processes, workflows, and technologies.</span></li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-size: 12pt;">Drive the adoption of industry-leading best practices and cutting-edge tools to enhance operational efficiency, reduce technical debt, and scale data engineering capabilities across the organization.</span></li> </ul> </li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-size: 12pt;"><strong>MLOps Implementation</strong></span> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Develop and maintain MLOps pipelines that automate the deployment, monitoring, and management of machine learning models in production.</span></li> </ul> </li> <li style="font-family: helvetica, arial, sans-serif; font-size: 12pt; font-weight: bold;"><span style="font-size: 12pt;"><strong>Perform other related duties as assigned.</strong></span></li> </ul> <p> </p> <p> </p> <p><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;"><strong>About You</strong><span style="font-weight: 400;"> </span></span></p> <ul> <li style="font-weight: 400; font-family: helvetica, arial, sans-serif; font-size: 12pt;"><span style="font-size: 12pt;">BA/BS in Computer Science, Data Engineering, or a related field, or equivalent professional experience. Advanced degree preferred.</span></li> <li style="font-weight: