Koala Health works to provide people with all of the medications and health products their pets need. The company packages medication and health products by date and time to help m
Data Engineer
Location
United States
Posted
115 days ago
Salary
$125K - $150K / year
Seniority
Senior
Job Description
Data Engineer
Koala Health
• Own and evolve Koala Health’s end-to-end data infrastructure, including ingestion, transformation, modeling, and delivery. • Design and maintain reliable data pipelines from production systems (e.g., application databases, third-party tools, vendors). • Build and manage data models that support analytics, reporting, and operational use cases. • Establish and enforce best practices for data quality, testing, monitoring, and documentation. • Partner with stakeholders across product, operations, finance, and marketing to understand data needs and translate them into scalable solutions. • Improve the reliability, performance, and cost-efficiency of the data stack as the business grows. • Own incident response and debugging for data issues, proactively identifying and resolving root causes. • Create and maintain clear documentation so data assets are understandable and usable across the company. • Evaluate and implement tooling improvements where it meaningfully improves developer velocity or data quality. • Act as a thought partner to leadership on how data can better support decision-making and operational efficiency.
Job Requirements
- 4+ years of experience as a Data Engineer, Analytics Engineer, or in a similar role with significant end-to-end ownership.
- Strong SQL skills and experience building well-structured analytical data models.
- Hands-on experience working with cloud data warehouses, including Snowflake.
- Experience designing and operating ELT pipelines using managed tools such as Fivetran (or comparable ELT solutions).
- Familiarity with modern data platform orchestration and transformation frameworks (e.g., Mozart or similar).
- Experience enabling analytics and reporting workflows using Looker with an understanding of how data modeling impacts downstream usage.
- Solid programming experience (Python) for data pipelines and transformations.
- Experience working with cloud infrastructure (AWS, GCP, or similar).
- Ability to independently diagnose data quality issues, identify root causes, and implement durable fixes.
- Proven ability to work autonomously, manage priorities, and deliver high-quality outcomes in a fast-moving environment.
- Strong systems thinking and an instinct for building simple, reliable solutions.
- Excellent communication skills and comfort collaborating with non-technical stakeholders.
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