As a Data Engineer reporting to the Director of Data & Analytics at Lulus you will build the core data infrastructure used to feed insights to key business partners and connect ML models to customer-facing systems.  You will design, develop, and optimize our data pipelines from source to target, including integration, transformation, orchestration, end-point provisioning and embeddings.  You will ensure a sharp focus on the scalability of our infrastructure and strive to build and maintain resilient processes that support platforms of insight that are accurate, ‘always on’, and able to keep pace with the speed of technology.  You will be a key technical liaison, collaborating with other engineers, analysts, and data scientists to solve web scale data problems, experiment with new technologies, and deliver high impact solutions that directly influence the customer experience.

About You

• You are an experienced software engineer who is skilled at data extraction, transformation, and loading from a variety of large-scale sources including relational and distributed databases, event streams, and 3rd-party services
• You have experience developing highly performant and robust code for mission-critical systems including monitoring capabilities, scalable interfaces, and always-on data pipelines
• You are a problem solver who is passionate about data and can transform loose business requirements into impactful solutions
• You can balance rigorous engineering standards with an iterative approach to delivering value to a variety of stakeholders
• Thrive in an environment of flux and uncertainty, applying equal parts technical rigor and intellectual curiosity to develop sound, creative solutions for large-scale and near-real-time use cases
• Revel in the challenge of overcoming complex technical hurdles, but also seek to simplify and clearly communicate your solutions  to non-technical stakeholders
• Display intellectual curiosity and fortitude, with a commitment to continuous learning and experimentation
• Ability to work in a fast-paced, fluid environment and adapt to rapidly changing strategies and priorities
• You take pride in your work and know what it takes to deliver quality data to the organization.  You also understand and appreciate the value of solid engineering practices and can translate them into usable tooling and intelligence for business stakeholders

• 2+ years progressive experience as a software/systems/data engineer required
• Advanced SQL skills, including the design and optimization of complex queries, views, and functions across multiple database systems
• Intermediate to Advanced skills with data manipulation languages [Python, R, etc] including solid experience with both scripted and object-oriented programming principles. Deep experience with scientific computing stacks a big plus.
• Intermediate to Advanced experience developing ETL/ELT process flows for large-scale datasets
• Experience developing, deploying, and maintaining complex, time-sensitive data pipelines supporting both reporting and analytics/machine learning workflows 
• Experience with cross-platform development in Windows/*nix/Mac environments
• Experience developing and deploying in a CI/CD environment
• Experience developing & deploying insights on modern reporting & analysis platforms
• Experience developing/deploying cloud-based solutions
• Experience with distributed/NoSql technologies
• Experience with scalable processing/storage technologies
• Bachelor’s degree in Computer Science, Computer Information Systems, or similar technical field required