Senior Data Engineer

Position Overview

• Location Type: Remote
• Employment Type: Full-Time
• Salary: (Not provided in the description)

A Senior Data Engineer will be instrumental in shaping the future of the Data Engineering team’s data platform. You will work with a global, remote-first team to build, scale, and optimize the data infrastructure using cutting-edge tools like Databricks, Spark, Terraform, and cloud platforms (AWS/Azure). You will collaborate closely with cross-functional teams to ensure the platform is secure, efficient, and continuously evolving. Your work will empower teams to access the data they need, drive insights, and optimize business outcomes.

Requirements

• 4+ years of hands-on experience in Data Engineering
• Strong focus on building and optimizing data platforms and cloud platforms
• Expertise in designing and building distributed systems and data pipelines
• Proficiency in Python, Scala, SQL, and Spark
• Solid understanding of cloud infrastructure (AWS/Azure)
• Experience with Terraform to automate cloud resource management
• Passion for performance tuning, cost optimization, and efficient resource usage
• Experience with data governance, security practices, and compliance

Responsibilities

• Build, scale, and optimize the data platform using Databricks, Spark, and various data integration tools.
• Design and maintain robust data pipelines with Airflow, Fivetran, DBT, Segment, and automate infrastructure using Terraform.
• Prototype, implement, and maintain team projects and features.
• Serve as a technical expert, mentor, and leader.
• Elevate the team’s skills and knowledge through technical designs and talks, and code reviews.
• Contribute to constantly improving the team’s processes and best practices.

Company Information

The Data Engineering team at Mural builds scalable, high-performance systems that transform complex data into actionable insights. We power internal analytics and user-facing features, supporting critical products like Customer Insights, Personalization, Reporting APIs, and Audit Logs. Our work integrates diverse data sources, optimizes core data models, and ensures seamless access across the organization. Success is measured not only by system reliability and scalability but also by the business impact we deliver—enabling users to make informed decisions and driving overall customer success.