Mural is hiring a
Staff Data Engineer

Summary

The job is for a Staff Data Engineer on the Data Modeling and Analytics team at Mural, responsible for designing, developing, and maintaining data pipelines and data models. The role requires 6+ years of experience in data engineering, proficiency in various tools and technologies, and a bachelor's or master's degree in Computer Science or related field.

Requirements

• 6+ years of experience in data engineering, with a focus on ETL processes, data modeling, and ML/AI-driven solutions
• Strong proficiency in data modeling techniques (e.g., dimensional modeling, star schema, snowflake schema)
• Solid programming skills in languages like Python, SQL
• Proficiency in Databricks, Redshift, S3, Astronomer/Airflow, DBT, ETL processes and data integration techniques
• Understanding of data quality, data governance, and data security best practices
• A passion for working with data and turning insights into action
• Knowledge of big data technologies such as Hadoop, Spark, or NoSQL databases
• Proven track record of designing and optimizing data pipelines for efficiency and accuracy
• An undying concern about data quality and a commitment to maintaining high standards
• A willingness to take ownership of projects and see them through to successful completion
• Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field
• Excellent command of English, both written and verbal
• Ability to work independently from a remote location with a global team

Responsibilities

• Lead and contribute hands-on to major initiatives from inception to delivery
• Design, develop and maintain data schemas/models, and metadata to enhance the understanding and governance of our data
• Develop robust and scalable ETL pipelines in Databricks to curate data from diverse sources and transform them to produce highly consistent and accurate data/metrics
• Ensure the reliability and efficiency of ETL workflows to meet the analytical and reporting needs of our stakeholders
• Collaborate with data analysts and stakeholders to understand data requirements, and design appropriate data models for analytical and reporting purposes
• Monitor and fine-tune data pipelines, ETL processes for improved performance and efficiency
• Adhere to data governance and security best practices to safeguard sensitive data and maintain compliance with relevant regulations
• Collaborate with data platform engineers, data analysts, product managers, product engineers and other business stakeholders to enhance their understanding of data structure and metrics
• Provide technical guidance and mentorship to senior data engineers, fostering a collaborative and high-performance environment

Preferred Qualifications

Familiarity with data science concepts and tools

Benefits

• Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation
• For roles based in New York City, California, Colorado, and Washington, the base salary for this role ranges from $149,600 - $187,000 + equity + benefits
• 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