Koala Health
Making pet care simple
Data Engineer
Location
United States
Posted
28 days ago
Salary
$125K - $150K / year
Bachelor Degree4 yrs expEnglishAWSCloudGoogle Cloud PlatformPythonSQL
Job Description
• 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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