[Hiring] Data Engineer I @Storable

Role Description

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. As a Data Engineer, you will support the design, development, and maintenance of data pipelines and infrastructure.

• Support Data Pipelines
  • Assist in building, maintaining, and optimizing scalable data pipelines
  • Support ingestion, transformation, and validation of structured and semi-structured data
  • Help monitor and troubleshoot pipeline performance issues
• ETL / ELT Development
  • Contribute to developing and maintaining ETL/ELT workflows
  • Write clean, maintainable transformation logic in SQL and/or Python
  • Ensure data is delivered accurately and on time to downstream systems
• Workflow Orchestration
  • Support workflow scheduling and monitoring using Apache Airflow
  • Troubleshoot task failures and assist in improving workflow reliability
• Query Engines & Processing Frameworks
  • Work with distributed processing frameworks such as Apache Spark
  • Support querying and data access using tools like Trino (Presto) and AWS services
• Data Quality & Governance
  • Help implement data validation checks and monitoring
  • Support data documentation and adherence to governance best practices
  • Assist in maintaining consistency across datasets
• Cross-Functional Collaboration
  • Partner with analytics, product, and engineering teams to understand data needs
  • Translate business requirements into technical data solutions with guidance
  • Contribute to improving data accessibility and usability
• Infrastructure & Optimization
  • Work within AWS-based data environments (S3, Glue, Athena, Redshift, etc.)
  • Support performance tuning and cost optimization efforts
  • Follow best practices in data modeling and schema design

Qualifications

• 1–3 years of experience in data engineering, analytics engineering, or related field
• Experience building or supporting data pipelines in cloud environments
• Exposure to distributed data processing tools (Spark preferred)
• Proficiency in SQL
• Experience with Python or similar language for data processing
• Familiarity with Apache Airflow (or other orchestration tools)
• Exposure to AWS services such as S3, Redshift, Glue, Athena, or Lambda
• Basic understanding of data modeling and warehousing concepts
• Understanding of ETL/ELT processes
• Familiarity with data quality principles
• Exposure to schema design and analytical datasets
• Strong problem-solving mindset
• Clear written and verbal communication skills
• Eagerness to learn and grow within a collaborative environment
• Ability to take feedback and iterate quickly

Benefits

• Generous health coverage for you and your family, including fully paid short- and long-term disability coverage and two-times base salary life insurance.
• 401(k) match after 60 days, 100% vested after 1 year.
• Employer contribution to your HSA, plus an HRA to help offset your deductible.
• Instant access to flexible vacation with a ‘take what you need’ vacation policy.
• Company rewards and recognition that can be redeemed for personalized gifts and experiences.
• 8 hours of Volunteer Time Off each year.
• 8 hours of Rest, Relax, Recharge time to care for your mental health.
• Access to mental well-being resources for yourself and your dependents.
• Fully paid parental leave: 12 and 6 weeks for primary and secondary caregivers, respectively.
• Paw'ternity Leave and Pet Bereavement policies.
• Caregiver Leave: four weeks of fully paid time away from work to care for aging dependents or family members.
• $50 monthly home data stipend, plus a home office sign-on bonus of $250.
• Fertility care support options.
• Access to financial experts to help you make informed decisions.
• Direct Student Loan Payment Program, some qualifications and eligibility rules apply.