[Hiring] Data Engineer II @Storable

Role Description

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

• 5+ years of experience in data engineering, data infrastructure, or related roles.
• 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).
• Experience with AWS services such as S3, Redshift, Glue, or Athena.
• Understanding of data modeling, warehousing concepts, and schema design.
• Familiarity with data validation, quality checks, and governance best practices.
• Strong analytical mindset with the ability to troubleshoot and optimize data systems.
• 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.

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’ policy.
• Company rewards and recognition that can be redeemed for personalized gifts and experiences.
• 8 hours of Volunteer Time Off each year and opportunities to participate in community service events.
• 8 hours of Rest, Relax, Recharge time for mental health care.
• Access to mental well-being resources, including counseling services and mindfulness workshops.
• Fully paid parental leave: 12 weeks for primary caregivers and 6 weeks for secondary caregivers.
• Pawternity Leave and Pet Bereavement policies.
• Caregiver Leave: four weeks of fully paid time 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 for informed decision-making.
• Direct Student Loan Payment Program, subject to qualifications and eligibility rules.