
About Storable
Empowering self-storage operators with digital solutions
Key Highlights
- Acquired by EQT Group in 2020 for strategic growth
- Offers a comprehensive suite of tools for self-storage management
- Headquartered in Austin, TX with 201-500 employees
- Projected self-storage market growth to $149.8 billion by 2030
Storable is a leading digital solutions provider for self-storage operators, offering a comprehensive suite of tools through the Storable Platform. This includes facility management software, payment processing, and tenant insurance, catering to a growing market projected to reach $149.8 billion by ...
🎁 Benefits
Storable offers generous benefits including fully paid caregiver leave, a flexible 'take what you need' vacation policy, and a mental health day polic...
🌟 Culture
Storable fosters a remote-friendly culture that emphasizes community and connectivity, even in a fully remote environment. The company encourages empl...
Skills & Technologies
Overview
Storable is seeking a Senior Data Engineer to enhance data quality and manage scalable data pipelines. You'll work with technologies like Apache Airflow and Apache Spark to drive data operations. This role requires significant experience in data engineering and ETL development.
Job Description
Who you are
You have 5+ years of experience in data engineering, with a strong background in building and maintaining data pipelines that handle large-scale datasets. Your expertise in ETL processes allows you to efficiently ingest, transform, and deliver data from multiple sources, ensuring high data quality and governance.
You are proficient in using tools like Apache Airflow for workflow orchestration and have hands-on experience with processing frameworks such as Apache Spark. Your understanding of SQL enables you to query and manipulate data effectively, ensuring that it is accessible and actionable for cross-functional teams.
You thrive in collaborative environments, working closely with engineering, product, and business teams to drive data initiatives that support strategic decision-making. Your ability to implement data governance policies ensures compliance and consistency across the organization.
Desirable
Experience with cloud platforms such as AWS or GCP is a plus, as is familiarity with data visualization tools like Tableau or Power BI. You are always eager to learn new technologies and methodologies to enhance your skills and contribute to the team's success.
What you'll do
As a Senior Data Engineer at Storable, you will oversee the design, implementation, and maintenance of scalable data pipelines that are crucial for our data-driven operations. You will be responsible for ensuring data quality and governance, implementing policies that maintain data accuracy and compliance across the organization.
You will build, optimize, and maintain ETL pipelines that facilitate the ingestion and transformation of large datasets from various sources. Your role will involve managing and scheduling complex workflows using Apache Airflow, ensuring that data processing is efficient and reliable.
Collaboration is key in this role; you will partner with engineering, product, and business teams to make data accessible and actionable. Your insights will help drive strategic decisions and foster impactful growth within the organization.
What we offer
At Storable, we are committed to leveraging cutting-edge technologies to improve the efficiency and accessibility of data. You will be part of a dynamic team that values innovation and collaboration, working towards a mission that empowers businesses in the self-storage industry.
We offer a competitive salary range of $145,000—$180,000 USD, reflecting your skills and experience level. Join us in shaping the future of storage and making a significant impact in the industry.
Interested in this role?
Apply now or save it for later. Get alerts for similar jobs at Storable.
Similar Jobs You Might Like
Based on your interests and this role

Data Engineer
ClickUp is hiring a Senior Data Engineer to shape and scale their modern data platform. You'll work with AWS serverless technologies, Snowflake, dbt, and Terraform to design reliable data pipelines. This role requires hands-on technical ownership and strategic influence across the data ecosystem.

Data Engineer
Socket is hiring a Senior Data Engineer to build and maintain scalable data infrastructure. You'll work with technologies like PostgreSQL, Kafka, and ClickHouse to handle high-volume data streams. This role requires significant experience in data engineering and pipeline development.

Data Engineer
Apple is hiring a Senior Data Engineer to design and maintain data pipelines that drive capacity and cost decisions across its infrastructure. You'll work with technologies like AWS, Apache, and Airflow, requiring strong skills in Python and SQL.