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Senior Data Engineer

StorableUnited States
On-site Full-time

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Experience Level

Senior

Qualifications

Qualifications: 5+ years of experience in data engineering or related roles, with a proven track record of building and maintaining data pipelines. Proficient in modern data tools including Apache Airflow, Apache Spark, Apache Iceberg, Trino/Presto, and AWS services (S3, Redshift, Glue, Athena, Lambda). Strong programming skills in Python or a similar language for data processing tasks. Experience in ETL development and optimization, ensuring efficient data ingestion and transformation. Familiarity with data modeling and warehousing concepts, contributing to schema design for scalable data architecture. Ability to implement data quality and governance best practices to ensure data accuracy and reliability. Experience in using AWS services to optimize data infrastructure. Excellent collaboration skills for working with engineering, product, analytics, and business teams.

About the job

Join Storable as a Senior Data Engineer and be a part of our mission to revolutionize the storage industry. Our advanced platform is designed to empower businesses in managing, tracking, and expanding their self-storage operations. We are seeking a skilled Senior Data Engineer to enhance our data-driven team. At Storable, we harness the latest technologies to boost data efficiency, accessibility, and insights, enabling our teams to make informed decisions and foster significant growth.

In this role, you will contribute to the development and maintenance of scalable data systems that underpin analytics, reporting, and product innovation. You will collaborate closely with senior engineers and cross-functional teams to ensure our data remains reliable, accessible, and actionable throughout the organization.

About Storable

Storable is on a transformative journey to redefine the storage sector. Our cutting-edge platform provides businesses with the tools they need to manage their self-storage operations effectively. We are dedicated to innovation and excellence, making data-driven decisions that lead to growth and improvement.

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