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Salary: USD 130,000 - 145,000 / annual
The Farmer's Dog is a venture-backed pet food company (raised $150M+) on a mission to transform the $90 billion pet food industry by replacing processed kibble with personalized, fresh, direct-to-consumer dog food. The company has delivered over 1 billion meals nationwide and is now seeking a Data Engineer 2 to join its growing data team.
In this role, you will develop, implement, and maintain data analytics solutions that support the organization's strategic decision-making. You'll work cross-functionally with data scientists, data engineers, and business partners to gather requirements, design data models, build data pipelines, and deliver actionable insights. Your work will be critical to ensuring data integrity, optimizing data workflows, and enabling stakeholders across the company to make data-driven decisions.
Key responsibilities include:
- Build and maintain data pipelines for structured and unstructured data supporting reporting, analytics, and AI/ML use cases
- Write production-level code that processes and validates millions of events per day
- Develop AI tooling and automation to enhance data engineering capabilities and workflows
- Ingest data from APIs, databases, file systems, and streaming platforms into the data infrastructure
- Establish and maintain robust data governance frameworks across the data warehouse to ensure data integrity, reliability, and security
- Implement monitoring, data quality checks, and alerting to ensure pipeline reliability
- Support production data systems and help resolve data-related incidents
- Document technical implementations, follow engineering best practices, and foster a collaborative team environment
The company operates with a "One Team" philosophy, emphasizing cross-functional collaboration and customer-centric problem-solving. They are skeptical about everything and precious about nothing—ideas come from anywhere, and the team is quick to pivot based on new information. The culture values execution for impact, working without assumptions, and continuous learning.
The office is located in SoHo, Manhattan, and the company maintains an in-office culture with an expectation of 4–5 days per week in the office to foster collaboration and connection.
REQUIREMENTS:
- 2–4 years of experience in data engineering, software engineering, or a related technical field
- Proficiency in Python with experience writing production code
- Solid SQL skills for data transformation and analysis
- Experience or strong interest in AI/ML workflows and tooling, including data preparation for machine learning models
- Practical experience with REST APIs and data integration patterns for ingesting data from multiple sources
- Familiarity with data processing tools such as DBT, Airflow, or similar orchestration frameworks
- Understanding of ETL/ELT concepts and experience building data pipelines independently with minimal guidance
- Comfortable collaborating with cross-functional teams to understand data requirements and deliver solutions
- Experience communicating technical concepts effectively to both technical and non-technical stakeholders
- Detail-oriented with strong problem-solving skills and ability to manage multiple priorities effectively
- Eagerness to learn new technologies, expand skill set in a fast-paced environment, and take initiative to optimize systems
