Data Engineer I

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 support the design, development, and maintenance of data pipelines and infrastructure. You will partner closely with senior data engineers, analytics teams, and cross-functional stakeholders to help ensure data is reliable, well-structured, and accessible for reporting and analytics use cases. Key Responsibilities 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 Experience 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) Technical Skills 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 Data Fundamentals Understanding of ETL/ELT processes Familiarity with data quality principles Exposure to schema design and analytical datasets Soft Skills 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 Bonus Points Exposure to Apache Iceberg or modern table formats Experience working with BI tools such as Looker or Tableau Experience in a SaaS or product-led environment 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, ID, 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 real estate. Tailored for the self-storage, marine, and RV camping industries, we seamlessly integrate management software with marketpla ... (truncated, view full listing at source)