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Data Engineer IIStorable • United States
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Data Engineer II

Storable
  • US
    United States
  • US
    United States
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À propos

Data Engineer II
At Storable, we're on a mission to power the future of storage. Our platform helps businesses manage, track, and grow their self-storage operations. We're committed to leveraging modern data technologies to improve efficiency, accessibility, and insight generation—empowering teams to make smarter, faster decisions. As a Data Engineer II, you will contribute to the design, development, and optimization of our data platform. You'll partner with engineering, product, and business teams to ensure data is reliable, accessible, and actionable. This role is ideal for someone who is growing in their data engineering career and is ready to take on more ownership of pipelines, data modeling, and performance optimization while learning from senior engineers on the team. Key Responsibilities
Build & Maintain Data Pipelines Develop and maintain scalable data pipelines to ingest, process, and transform data from multiple sources. ETL Development Support the design and optimization of ETL/ELT workflows to ensure efficient and reliable data delivery. Workflow Orchestration Work with tools like Apache Airflow to schedule and manage data workflows. Data Quality & Reliability Help implement data quality checks, validation processes, and monitoring to ensure accuracy and consistency. Data Modeling & Warehousing Contribute to data modeling efforts, schema design, and data warehouse optimization. Query & Processing Frameworks Utilize tools such as Trino (Presto), Apache Spark, or similar technologies to support distributed data processing. Infrastructure & Performance Optimization Assist in improving performance, scalability, and cost-efficiency of data systems using modern cloud platforms (AWS). Cross-Functional Collaboration Partner with stakeholders across engineering, product, and business teams to understand data needs and deliver solutions. Monitoring & Troubleshooting Identify issues in pipelines and workflows, troubleshoot effectively, and implement long-term fixes. Qualifications
Experience 5+ years of experience in data engineering, data infrastructure, or related roles Technical Skills Experience with Python or similar languages for data processing Familiarity with SQL and distributed query engines (e.g., Trino/Presto) Exposure to Apache Spark or similar processing frameworks Experience with workflow orchestration tools (e.g., Apache Airflow) Cloud & Data Platforms Experience with AWS services such as S3, Redshift, Glue, or Athena Data Fundamentals Understanding of data modeling, warehousing concepts, and schema design Data Quality & Governance Familiarity with data validation, quality checks, and governance best practices Problem Solving Strong analytical mindset with the ability to troubleshoot and optimize data systems Communication Ability to communicate clearly with both technical and non-technical stakeholders Nice to Have
Experience with modern data formats (e.g., Apache Iceberg) Exposure to BI/visualization tools (e.g., Looker, Tableau) Experience working in a SaaS or product-driven 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.
  • United States

Compétences linguistiques

  • English
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