Sr. Data Engineer
At Storable, we're on a mission to power the future of storage. Our innovative platform helps businesses manage, track, and grow their self-storage operations, and we’re looking for a Data Engineer to join our data-driven team. Storable is committed to leveraging cutting-edge technologies to improve the efficiency, accessibility, and insights derived from data, empowering our team to make smarter decisions and foster impactful growth. As a Data Engineer, you will play a pivotal role in shaping our data operations, ensuring that our data is organized, accessible, and effectively managed across the organization. You will work closely with cross-functional teams and drive the development of strategies to enhance data quality, availability, and security.

Key Responsibilities:
● Oversee Data Pipelines: Design, implement, and maintain scalable data pipelines using industry-standard tools to efficiently process and manage large-scale datasets.
● Ensure Data Quality & Governance: Implement data governance policies and frameworks to ensure data accuracy, consistency, and compliance across the organization.
● ETL Development: Build, optimize, and maintain ETL pipelines for ingesting, transforming, and delivering large datasets from multiple sources.
● Workflow Orchestration: Manage and schedule complex workflows using Apache Airflow.
● Query Engines & Processing Frameworks: Leverage Trino (Presto), Apache Spark, and other
● Manage Cross-Functional Collaboration: Partner with engineering, product, and business teams to make data accessible and actionable, and ensure it drives informed decision-making.
● Optimize Data Infrastructure: Leverage modern data tools and platforms (e.g., AWS, Apache Airflow, Apache Iceberg) to create an efficient, reliable, and scalable data infrastructure.
● Monitor & Improve Performance: Proactively monitor data processes and workflows, troubleshoot issues, and optimize performance to ensure high reliability and data integrity.

Qualifications:
● Proven Expertise in Data Management: 6+ years of significant experience in managing data infrastructure, data governance, and optimizing data pipelines at scale.
● Technical Proficiency: 5+ years of strong hands-on experience with data tools and platforms such as Apache Airflow, Apache Iceberg, and AWS services (S3, Lambda, Redshift, Glue, Athena).
● Data Pipeline Mastery: Familiarity with designing, implementing, and optimizing data pipelines and workflows in Python or other languages for data processing.
● 5+ years of hands-on experience with Trino/Presto and Apache Spark for distributed data processing.

● Solid understanding of data modeling, warehousing concepts, and schema design.

● Experience with Data Governance: Solid understanding of data privacy, quality control, and governance best practices.
● Leadership Skills: Ability to lead and mentor teams, influence stakeholders, and drive data initiatives across the organization.
● Analytical Mindset: Strong problem-solving abilities and a data-driven approach to improve business operations.
● Excellent Communication: Ability to communicate complex data concepts to both technical and non-technical stakeholders effectively.
● Bonus Points: Experience with visualization tools (e.g., Looker, Tableau) and reporting frameworks to provide actionable insights.