Senior Data Engineer

Mural®; Snowflake (AZ); Remote; USD 60,000 - 80,000; Full time

Job summary

An established industry player is seeking a Senior Data Engineer to join their innovative Data Engineering team. In this pivotal role, you will leverage cutting-edge tools like Databricks and Spark to build and optimize a robust data platform. Collaborating with a global, remote-first team, you will ensure high performance, reliability, and cost efficiency in data operations. Your expertise will empower teams across the organization to access critical insights, driving business outcomes and customer success. If you are passionate about data engineering and thrive in a dynamic environment, this opportunity is perfect for you.

Qualifications

• 4+ years of experience in Data Engineering with a focus on cloud platforms.
• Expertise in building distributed systems and data pipelines.

Responsibilities

• Build and optimize the data platform using Databricks and Spark.
• Design and maintain data pipelines with Airflow and Fivetran.

Skills

Data Engineering

Cloud Platforms (AWS/Azure)

Python

SQL

Spark

Data Governance

Emotional Intelligence

Collaboration Skills

Education

Bachelor's Degree in Computer Science or related field

Tools

Databricks

Terraform

Airflow

Fivetran

DBT

Segment

Job description

ABOUT THE TEAM

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.

YOUR MISSION

As a Senior Data Engineer, you will be instrumental in shaping the future of our data platform. You will work with a global, remote-first team to build, scale, and optimize our 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.

WHAT YOU'LL DO

1. Build, scale, and optimize the data platform using Databricks, Spark, and various data integration tools to ensure high performance, reliability, and cost efficiency.
2. Design and maintain robust data pipelines with Airflow, Fivetran, DBT, Segment, and automate infrastructure using Terraform to enhance operational readiness, security, and governance.
3. Prototype, implement, and maintain team projects and features, serving as a technical expert, mentor, and leader.
4. Build flexible and maintainable solutions while being accountable for quality, performance, and reliability.
5. Elevate the team’s skills and knowledge by participating in technical designs and talks and reviewing and helping improve your and your colleague’s code.
6. Contribute to constantly improving the team’s processes and best practices.

WHAT YOU'LL BRING

1. 4+ years of hands-on experience in Data Engineering, with a strong focus on building and optimizing data platforms and cloud platforms.
2. Expertise in designing and building distributed systems and data pipelines, focusing on data integration, transformation, and processing using tools like Astronomer, Fivetran, DBT, and Segment, with a focus on both structured and unstructured data.
3. Proficiency in Python, Scala, SQL, and Spark to develop scalable data pipelines, automate data workflows.
4. Solid understanding of cloud infrastructure (AWS/Azure), data platforms (Databricks, Snowflake, Redshift) with hands-on experience in Terraform to automate cloud resource management (e.g., VPCs, subnets).
5. Passion for performance tuning, cost optimization, and ensuring efficient resource usage across the data platform.
6. Experience with data governance, security practices, and compliance (e.g., SOC II) to maintain data integrity and privacy.
7. Experience learning new technologies, platforms, stacks, and coming up to speed quickly on large codebases.
8. Emotional intelligence with collaboration and listening skills that encourage innovative solutions and diverse perspectives.
9. Experience working in a rapid-growth or startup environment.
10. Excellent communication skills and the ability to collaborate with distributed teams across time zones, ensuring alignment and success in a fast-paced environment.

Equal Opportunity

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.