Senior Data & Database Engineer LENA seeks a Senior Data & Database Engineer to architect, implement, maintain, and scale-up various databases, data-storage, data reporting, and data pipeline mechanisms used at LENA. The Senior Data & Database Engineer creates strategies and sets the standards that ensure the security, reliability, useability, and interoperability of data across many sources and applications. They also monitor and troubleshoot issues, develop SQL and programming code, investigate and implement new technologies and techniques, and work closely with others across LENA to produce various data-driven inputs and outputs. Supervisory Responsibilities: None Company Summary:LENA is a national nonprofit on a mission to transform children’s futures through early talk technology and data-driven programs. In this role, you will:• Develop a deep understanding of LENA data and structures and share this knowledge with others.• Set and implement standards for storing, moving, deleting, securing, and accessing data; ensure compliance and maximize performance and availability.• Ensure accuracy and correctness in data-driven outputs; align on algorithms and computations across outputs.• Define data schemas for storage mechanisms and ensure pipelines operate across schemas.• Develop back-end SQL, software code, and other items to support LENA Online and other systems; embed business logic, design for simplicity and change, and tune for performance.• Support ad-hoc data requests; perform data change/deletion tasks to support Partner Success and Help Desk.• Investigate and implement new technologies/techniques to improve performance, support scale-up, and reduce costs.• Other duties as assigned. Required Skills/Abilities:• Demonstrable experience with large, mission-critical, high-transaction databases, data pipelines, and reporting in B2B environments.• Experience with 100% cloud-based data products/services across multiple cloud providers.• Ability to understand complex formulas/algorithms; create/augment complex data models; monitor/troubleshoot pipelines with unreliable data.• Appropriate use of AI to troubleshoot/modify/prototype solutions.• Expert in T-SQL; Advanced in Azure Power Platform, JSON, DAX; Proficient in Amazon RDS, Docker, Honeycomb, Flyway, Git, Jenkins, DynamoDB; some Microsoft SQL DBA experience.• Understanding of agile SDLC and ability to work in sprints.• Excellent organizational skills and attention to detail. Education and Experience:Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience. At least 7 years’ experience in related areas/technologies. Compensation:Excellent benefits (medical, dental, vision, disability, life insurance, PTO, 14 holidays, 401k with match). Expected salary range begins at $120,000 annually, based on experience. Location and Travel:This is a work at home position requiring prolonged computer work (95–100% of daily work time). To apply:Submit a cover letter with salary requirements and resume as a single PDF to HR@lena.org.
