Senior Data Engineer

Sr. Data Engineer
At Storable, we're on a mission to power the future of storage. Our innovative platform helpsbusinesses manage, track, and grow their self-storage operations, and we're looking for a DataEngineer to join our data-driven team. Storable is committed to leveraging cutting-edgetechnologies to improve the efficiency, accessibility, and insights derived from data, empoweringour 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 ourdata is organized, accessible, and effectively managed across the organization. You will workclosely with cross-functional teams and drive the development of strategies to enhance dataquality, availability, and security.

Key Responsibilities:
Oversee Data Pipelines: Design, implement, and maintain scalable data pipelines usingindustry-standard tools to efficiently process and manage large-scale datasets.
Ensure Data Quality & Governance: Implement data governance policies andframeworks to ensure data accuracy, consistency, and compliance across theorganization.
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, andother
Manage Cross-Functional Collaboration: Partner with engineering, product, andbusiness teams to make data accessible and actionable, and ensure it drives informeddecision-making.
Optimize Data Infrastructure: Leverage modern data tools and platforms (e.g., AWS,Apache Airflow, Apache Iceberg) to create an efficient, reliable, and scalable datainfrastructure.
Monitor & Improve Performance: Proactively monitor data processes and workflows,troubleshoot issues, and optimize performance to ensure high reliability and dataintegrity.

Qualifications:
Proven Expertise in Data Management: 6+ years of significant experience in managingdata infrastructure, data governance, and optimizing data pipelines at scale.
Technical Proficiency: 5+ years of strong hands-on experience with data tools andplatforms such as Apache Airflow, Apache Iceberg, and AWS services (S3, Lambda,Redshift, Glue, Athena).
Data Pipeline Mastery: Familiarity with designing, implementing, and optimizing datapipelines and workflows in Python or other languages for data processing.
5+ years of hands-on experience with Trino/Presto and Apache Spark for distributeddata 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 drivedata initiatives across the organization.
Analytical Mindset: Strong problem-solving abilities and a data-driven approach toimprove business operations.
Excellent Communication: Ability to communicate complex data concepts to bothtechnical and non-technical stakeholders effectively.
Bonus Points: Experience with visualization tools (e.g., Looker, Tableau) and reportingframeworks to provide actionable insights.