Senior Data Engineer

Job Description LILT in the News We were named to The Software Report's fifth annual list of Software Companies! Click here to learn more and see the full list. LILT listed on the Inc. 5000 List for the first time. Check out all our news on our website. About Us LILT is the leading AI solution for enterprise translations. Our stack made up of our Contextual AI Engine, Connector APIs, and Human Adaptive Feedback enables global organizations to adopt a true AI translation strategy, focusing on business outcomes instead of outputs. With LILT, innovative, category-defining organizations like Intel, ASICS, WalkMe, and Canva are using AI technology to deliver multilingual, digital customer experiences at scale. While our core AI technology might share similarities with ChatGPT and Google Translate, it's what we do with it that makes LILT truly revolutionary. Our patented Contextual AI Engine goes beyond basic translations, understanding the nuance of our customer's content and target audience to deliver hyper-accurate, business-focused results. Our connector-first approach seamlessly integrates with our customer's existing workflows, and our human-adapted feedback loop ensures continuous improvement, making LILT a constantly evolving AI partner for your global ambitions. The Engineering Team at Lilt Lilt is a high-performance, large-scale translation system. We invest in and prioritize workflow (i.e., usability and interface design) and backend AI systems. Since the translation workforce is distributed worldwide, there are interesting cloud engineering problems to solve. We have a strong preference for building our own backend technology, so you'll be implementing and working with the latest natural processing (NLP) techniques and ideas. What you'll do In collaboration with the Director of Engineering, the Senior Data Engineer will own the scaling and modernization of our data infrastructure to improve reliability and performance, and will collaborate on AI engineering projects to improve our data pipelines, products, and services. The Senior Data Engineer will also have project lead responsibilities and will play a big part in roadmap definition and execution. Key Responsibilities: Design and implement event-driven and fault-tolerant systems to improve Lilt's data infrastructure, providing timely and reliable data to all areas of the business. Apply your engineering experience to implement new data products and services to enable both internal and external customers. Design and lead data team projects. Share your knowledge with your colleagues, helping them to grow their technical skills. Keep the technical excellence bar high, contributing to code quality, doing code reviews, increasing test coverage, etc. Partner with product team and help to decompose huge business requirements into smaller deliverables. Skills and Experience: 4-8 years of software development experience with two or more general purpose programming languages including, but not limited to, Java and Python. Great problem solving abilities. Interest in AI technologies. Working proficiency in English. Must have 4 years experience with Apache Kafka or RabbitMQ, BigQuery or Hive, and both SQL and NoSQL datastores. 2 years of experience architecting data systems. Preferred experience with Apache Hadoop/Spark, BigTable/HBase, Cassandra. Benefits: Compensation: At market salary, meaningful equity, 401(k) matching, and flexible time off plus company holidays. Medical Benefits: Employees receive coverage of medical, dental, and vision insurance, and more. In addition, LILT pays for basic life insurance, short-term, and long-term disability. Paid parental leave is provided after 6 months. Monthly lifestyle benefit stipend via the Fringe platform to allow employees to customize benefits to their lifestyle. Compensation Range: $153K - $185K #J-18808-Ljbffr

Created: 2025-03-01