Staff Data Engineer, Data Platform - California, United States - MURAL

MURAL California, United States

1 week ago

Description

YOUR MISSION

As a Staff Data Engineer on the Data Platform team, you will grow our business by leveraging advanced data engineering techniques to enhance our data architecture and streamline data ingestion processes.

Your expertise will be instrumental in improving our data-driven product offerings, and in providing valuable insights that drive strategic decision-making, thus helping us grow globally.

WHAT YOU'LL DO
Design, implement, and maintain scalable and optimized data architectures that meet our evolving business needs

Lead and contribute hands-on to major initiatives from inception to delivery

Evaluate and recommend appropriate data storage solutions, ensuring data accessibility and integrity

Establish monitoring and alerting systems to proactively identify and address potential data pipeline issues

Continuously optimize data ingestion processes for improved reliability and performance

Support Data infrastructure needs such as cluster management and permission

Work closely with product teams to data-driven features and enhancements into our products and services

Collaborate with data modelers and data analysts to provide them with high-quality, clean, and well-structured data

Provide technical guidance and mentorship to senior data engineers, fostering a collaborative and high-performance environment

WHAT YOU'LL BRING
6+ years of experience in data engineering, with a strong focus on data architecture and data ingestion

Strong background as a tech lead or architect

Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field

Proficiency in Databricks, Redshift, S3, Astronomer/Airflow, Fivetran, Segment, DBT, ETL processes and data integration techniques

Proficiency in Data Engineering programming languages such as Python, Scala and SQL

Experience with Data Ops (VPCs, cluster management, permissions, Databricks configurations, Terraform)

A passion for working with data and turning insights into action

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

Experience with cloud-based data platforms like AWS, Azure, or Google Cloud Platform

Expert knowledge of big data technologies such as Hadoop, Spark, or NoSQL databases

Knowledge of data governance and security practices

Excellent command of English, both written and verbal

Ability to work independently from a remote location with a global team

NICE TO HAVE
Experience with migrating from Redshift to Databricks

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.

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.

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