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.

All applicants must be currently authorized to work in the United States on a full-time basis.

Storable is a fully distributed company, but is currently only registered for employment in certain states. To be eligible for employment, you must reside in the following states: AL, AZ, CA, CO, CT, FL, GA, , IL, IN, IA, KS, LA, MD, MA, MI, MN, MO, MS, NC, NE, NJ, NV, NY, OH, OK, OR, PA, SC, TN, TX, UT, VA, WA, WI, WY.

About Us:

At Storable, we’re redefining property management for specialty…