Senior Analytics Engineer

• Lead the design, development, and implementation of a scalable, reliable, and efficient analytical data platform
• Influence decisions on technology and tool selection for data ingestion, storage, transformation, and analysis for the analytics platform
• Contribute to the overall data architecture and strategy, ensuring alignment with business needs and best practices
• Build and maintain robust ETL/ELT pipelines to ingest, transform, and load data from various sources into the data warehouse (e.g., cloud storage, databases, APIs)
• Develop and optimize data models for analytical use cases, ensuring data quality, consistency, and accessibility
• Establish and enforce data quality standards and processes to ensure data accuracy and integrity
• Implement data governance policies and procedures to manage data access, security, and compliance for analytics use cases
• Proactively identify and address data quality issues, working with stakeholders to resolve root causes
• Partner with data scientists, analysts, and other engineers to understand their data needs and provide solutions
• Effectively communicate technical concepts and designs to both technical and non-technical audiences
• Mentor and guide data engineers, fostering a culture of learning and collaboration
• Stay up-to-date on the latest trends and technologies in data engineering and analytics
• Identify opportunities to improve existing data processes and tools
• Proactively propose and implement innovative solutions to address data challenges

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 5+ years of experience in data engineering, with a focus on building analytical data platforms
• Demonstrated experience with cloud data warehousing solutions (e.g. BigQuery, Snowflake, Redshift)
• Strong proficiency in SQL and experience with data modeling techniques (e.g., star schema, dimensional modeling)
• Experience building and maintaining ETL/ELT pipelines using tools like Dagster, Apache Airflow, dbt, or similar
• Experience with programming languages such as Python, Java, or Scala
• Excellent problem-solving and analytical skills, along with passion for data and a commitment to data quality

Experience with data governance and data quality tools and processes is highly desirable

• Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching
• Additional family, wellness, and pet benefits
• Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers)
• Flexible schedule for new parents returning to work
• Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend
• $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement
• Annual bonus plan and company equity plan (RSUs)