Data Engineer / Senior Data Engineer
ArcadiaFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Yes, this is a remote position with a global, remote-first team.
Candidates need 4+ years of hands-on experience in Data Engineering, expertise in designing distributed systems and data pipelines using tools like Astronomer, Fivetran, DBT, and Segment, proficiency in Python, Scala, SQL, and Spark, and solid understanding of cloud infrastructure (AWS/Azure), data platforms (Databricks, Snowflake, Redshift), and Terraform.
This information is not specified in the job description.
The Data Engineering team builds scalable systems for internal analytics and AI/ML products, working with a global, remote-first team to power features like Customer Insights and Reporting APIs, with success measured by system reliability, scalability, and business impact.
A strong candidate has 4+ years in Data Engineering with expertise in data pipelines, cloud platforms, and tools like Databricks, Spark, Terraform, Python, and SQL, plus the ability to mentor, lead technical designs, and contribute to team processes.
Digital workspace for team collaboration
MURAL provides a digital workspace platform that enhances collaboration and creativity among teams. It allows users to brainstorm, plan, and design together in real-time, regardless of their location. The platform features digital whiteboards, sticky notes, templates, and integrates with other productivity tools, helping teams visualize ideas and streamline workflows. MURAL serves a wide range of clients, including businesses, educational institutions, and non-profits, and operates on a subscription-based model, offering different pricing tiers based on user count and features. This model supports a steady revenue stream and enables ongoing improvements to the service. MURAL distinguishes itself by focusing on uptime and reliability, ensuring that clients can depend on the platform for consistent service.