Staff Data Developer, OXIO

• 10+ years experience as a data engineer and/or analytics engineer building large scale data platforms and scalable data warehouses
• 5+ years of hands-on experience coding in Python or Spark for building and maintaining data pipelines
• 5+ years of experience working with AWS cloud, dbt and Snowflake, Databricks, BigQuery, Redshift or other data warehouses
• Proficient with Dimensional Modeling (Star Schema, Kimball, Inmon) and Data Architecture concepts
• Advanced SQL skills (ease with window functions, defining UDFs)
• Experience in implementing real-time and batch data pipelines with strict SLOs, and optimizing data storage and access patterns
• Proven track record of enhancing data reliability, discoverability, and observability
• Has good understanding of working with storage layers like Hudi, Delta Lake or Iceberg
• Aptitude for product analysis, dashboarding, and reporting
• Demonstrated success in leading large-scale projects across teams and mentoring others in Data Engineering best practices

Desirable

• We are hiring a talented and experienced Staff Data Engineer to join our small, but growing Data team, playing a critical role in designing and executing a robust and forward-looking data strategy for the company
• Our team owns the data pipelines and tools that provide secure, reliable, and accessible data, enabling team members to derive actionable insights
• Doing this job well means that we enable the entire organization’s ability to make more informed decisions, innovate faster, and serve our customers better
• In this role, you will work directly with our Data, Engineering, Operations, Data Science, Go-to-Market, and Finance teams to support the organization's data processing and analytics needs
• You will serve as the internal expert on all things data engineering, empowering your peers with your expertise to collectively build a world-class data culture
• This is a unique opportunity to directly influence not only our data systems, but also our drones and global operations
• The ideal candidate will help us design systems that support the company’s needs today and many years into the future
• Help build, maintain, and scale our data pipelines that bring together data from various internal and external systems into our data warehouse
• Partner with internal stakeholders to understand analysis needs and consumption patterns
• Partner with upstream engineering teams to enhance data logging patterns and best practices
• Participate in architectural decisions and help us plan for the company’s data needs as we scale
• Adopt and evangelize data engineering best practices for data processing, modeling, and lake/warehouse development
• Advise engineers and other cross-functional partners on how to most efficiently use our data tools
• Develop data solutions through hands-on coding