Data Engineer

• Build and maintain data pipelines for structured and unstructured data supporting reporting, analytics and AI/ML use cases
• Write production-level code that processes and validates millions of events per day
• Develop AI tooling and automation to enhance data engineering capabilities and workflows
• Ingest data from APIs, databases, file systems, and streaming platforms into our data infrastructure, and build and maintain pipelines for structured and unstructured data that support reporting, analytics, and AI/ML use cases
• Establish and maintain robust data governance frameworks across our data warehouse to ensure data integrity, reliability, and security across the organization
• Implement monitoring, data quality checks, and alerting to ensure pipeline reliability and implement automated checks
• Support production data systems and help resolve data-related incidents
• Document technical implementations, follow engineering best practices, and foster a collaborative team environment that promotes knowledge sharing, standard methodologies, continuous improvement, and continuous learning

Benefits

• Dog-friendly offices
• Equity packages
• Healthcare, Dental, and Vision insurance
• 401k match
• 12-week paid parental leave
• Flexible PTO and work-from-home policy
• Discounted fresh dog food
• Your pet interrupting video calls and in-person meetings is now a feature, not a bug- You love dogs
• You’re detail-oriented with strong problem-solving skills and can manage multiple priorities effectively
• You’re comfortable collaborating with cross-functional teams to understand data requirements and deliver solutions and you have experience communicating technical concepts effectively to both technical and non-technical stakeholders
• You have 2-4 years of experience in data engineering, software engineering, or related technical field
• You have experience or strong interest in AI/ML workflows and tooling, including data preparation for machine learning models —> bring this one up
• You’re familiar with data processing tools like DBT, Airflow, or similar orchestration frameworks
• You’re proficient in Python with experience writing production code, and have solid SQL skills for data transformation and analysis
• You have practical experience with REST APIs and data integration patterns for ingesting data from multiple sources
• You understand ETL/ELT concepts and have built data pipelines independently with minimal guidance
• You are eager to learn new technologies, expand your skill set in a fast-paced environment, and take initiative to optimize systems