Data Engineer 2

The Farmer's Dog
New York, NY
On-siteCareer-pivot friendly

Who this role is best for

A natural match if you have experience building data pipelines and working with AI/ML tooling.

Best fit for

  • Candidates with 2-4 years of experience in data engineering and a strong interest in AI/ML workflows
    — “You have 2-4 years of experience in data engineering, software engineering, or related technical field”
  • Individuals who thrive in cross-functional teams and prioritize data integrity
    — “You will be critical to ensure data integrity, optimize data workflows, and enabling partners to make effective decision-making rooted in data”
  • Professionals with a background in production-level code development and data governance
    — “Write production-level code that processes and validates millions of events per day”

Things to consider

  • The role requires a focus on data governance and pipeline reliability as a core responsibility
    — “Establish and maintain robust data governance frameworks across our data warehouse”
  • Candidates should be prepared to work with unstructured data and support AI/ML use cases
    — “Build and maintain data pipelines for structured and unstructured data supporting reporting, analytics and AI/ML use cases”

How to stand out

  • Highlight experience with data orchestration tools like Airflow or DBT in your resume and interviews
    — “You're familiar with data processing tools like DBT, Airflow, or similar orchestration frameworks”
  • Emphasize your ability to implement monitoring and data quality checks for pipeline reliability
    — “Implement monitoring, data quality checks, and alerting to ensure pipeline reliability”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • develop, implement, and maintain data analytics solutions
  • collaborate with cross-functional groups
Typical background
data engineeringsoftware engineeringdata science

Skills & requirements

Required

Data EngineeringETLData ModelingData WarehousingCloud Platforms

Preferred

Data VisualizationMachine Learning

Stack & domain

Data EngineeringData AnalyticsData PipelinesData ModelsData WorkflowsData IntegrityProblem-solvingDecision-makingPet CareFood Industry

About the role

Original posting from The Farmer's Dog via Greenhouse

Who We Are

The Farmer’s Dog was born from a mission to change the landscape of pet health, providing dogs and their humans with honest, smart, and simple care. We’re starting by radically improving the $90 billion pet food industry, replacing bags of highly-processed pellets with a personalized subscription service that sends complete and balanced, freshly-made dog food directly to customers’ doors. Our ultimate goal is to create innovative, delightful and personalized experiences across all aspects of pet care, and we believe our direct-to-consumer business model, holistic approach to growth, and dynamic culture uniquely position us to shepherd this backwards industry into the future.

To date, The Farmer’s Dog has delivered over 1 billion meals nationwide and raised over $150M in funding to help us build a company as healthy as the dogs who are eating those meals. Join us as we continue to develop ways of bringing peace of mind to customers, health to their companions, and much-needed change to the way people feed and care for their pets.

#LongLiveDogs

What We Stand For and Where You’ll Come In

The Farmer’s Dog is seeking a Data Engineer 2 to join our growing group! You will maximize your technical expertise and data analysis skills to develop, implement, and maintain data analytics solutions within the organization. This role will collaborate with cross-functional groups - including data scientists, data engineers, and business partners to gather requirements, design data models, build data pipelines, and deliver practical insights. 

You will be critical to ensure data integrity, optimize data workflows, and enabling partners to make effective decision-making rooted in data. If you have a genuine love for data, technology, problem-solving and want to improve how The Farmer’s Dog makes strategic decisions at the company level, then this is the role for you!

One Team: We don’t think of ourselves as “Acquisition Marketers”, “Engineers”, “Data Analysts”, or “Product Managers”. Beyond denoting skill sets and areas of expertise, we don’t think departments matter. We’d rather align ourselves to the goals we’re working to achieve and make sure we have necessary subject matter expertise to drive meaningful impact. We strive to orient ourselves around customer problems TOGETHER – getting the right people, with the right context, in the right rooms/Zooms to solve problems holistically.

We are skeptical about everything and precious about nothing:  Ideas can and should come from anywhere, and we aren’t tied to our own. We proactively source input. We talk to our customers and leads regularly and are quick to change course if we know there’s a better or more impactful way to solve problems.

We consider the customer journey in all of our decisions:  We know that no interaction exists in a silo and therefore understand how important every single one is.  We ensure our strategy sets prospective and new customers up for success and drives long-term retention.  We answer questions and address problems early and proactively.  We understand the value of different channels, initiatives, and messages and know how to articulate impact and advocate for prioritization holistically.

We Execute For Impact: We don’t subscribe to “best practices” or “industry KPIs”. We’re uninterested in how we compare to “benchmarks”; instead we orient ourselves around being the best we can possibly be. Similarly, we don’t subscribe to rigid or classical expectations of roles – i.e. acquisition is hyper-focused on improving customer retention and experience.

We Are Focused and Work Without Assumption: We are not beholden to ideas. We have goals and believe everything beyond that is a series of hypotheses to validate. To that end, we seek to work in sequence and not in parallel. We constantly ask ourselves, “what’s the most important hypothesis I should be working on right now? How do I confirm or reject that hypothesis as fast as possible?”. We rarely have timelines/deadlines and are constantly taking in new information and adjusting our priorities accordingly. We don’t expect to be perfect the first time.

How You'll Make An Impact

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 our data infrastructure, and build and maintain pipelines for structured and unstructured data that support reporting, analytics, and AI/ML use cases.

Establish and maintain robust data governance frameworks across our data warehouse to ensure data integrity, reliability, and security across the organization

Implement monitoring, data quality checks, and alerting to ensure pipeline reliability and implement automated checks.

Support production data systems and help resolve data-related incidents.

Document technical implementations, follow engineering best practices, and foster a collaborative team environment that promotes knowledge sharing, standard methodologies, continuous improvement, and continuous learning. 

We're Excited About You Because

You have 2-4 years of experience in data engineering, software engineering, or related technical field

You're proficient in Python with experience writing production code, and have solid SQL skills for data transformation and analysis

You have experience or strong interest in AI/ML workflows and tooling, including data preparation for machine learning models --> bring this one up

You have practical experience with REST APIs and data integration patterns for ingesting data from multiple sources

You're familiar with data processing tools like DBT, Airflow, or similar orchestration frameworks

You understand ETL/ELT concepts and have built data pipelines independently with minimal guidance

You're comfortable collaborating with cross-functional teams to understand data requirements and deliver solutions and you have experience communicating technical concepts effectively to both technical and non-technical stakeholders.

You're detail-oriented with strong problem-solving skills and can manage multiple priorities effectively

You are eager to learn new technologies, expand your skill set in a fast-paced environment, and take initiative to optimize systems.

You love dogs.

Office Guidelines

We are an in-office culture, made of in-office people who thrive on the collaboration and magnetism of working in a shared space. We are seeking individuals who excel in this type of environment, where being present fosters deeper connections and engagement. We ask all team members to be in office 4 - 5 days a week to build a collaborative and invested environment to foster our unique in-person culture we are proud to have. This office policy is subject to change at company discretion.

Our Belonging Philosophy:

At TFD, we believe Belonging is a shared commitment to creating a workplace where every person feels respected, valued, and empowered to be themselves. When people feel a true sense of belonging, they do their best work, take smart risks, and bring forward diverse perspectives — leading to stronger decisions and deeper relationships.

We anchor this belief in a simple phrase: “Everyone’s welcome at the dog park.” No matter your background, identity, or role, there’s space for you here. There’s no one way to show up at the dog park— just shared space, mutual respect, and the freedom to be yourself. Being included is just the beginning, it’s about contributing your voice, growing through challenges, and building trust through shared goals. This philosophy guides how we lead, how we hire, how we communicate, and how we grow.

We continuously evaluate to ensure we are creating a consistent experience that cultivates belonging for all employees, from hiring and performance reviews to talent development. We also believe Belonging happens in everyday moments of connection; lunch with a new teammate, a shared laugh, or a quick story about your weekend. Our structure includes biannual employee surveys, manager training, TFD camps, and support from Humans to ensure we’re listening and learning from our Team.

Together, these efforts reflect what Belonging means at TFD: a culture where everyone can thrive.

A Few of Our Best Benefits

Dog-friendly office in SoHo

Market-competitive compensation and equity packages

Comprehensive Healthcare, Dental, and Vision

Company supported mental health benefits

12 week paid parental leave

Competitive 401k plan with company match

Flexible PTO 

Discounted fresh food for your pup

Your pet interrupting video calls (and in-person meetings) is now a feature, not a bug

Equal Employment Opportunity Statement

The Farmer's Dog, Inc. is an equal employment opportunity employer and does not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religion, creed, national origin, physical or mental disability, protected veteran status or any other legally protected characteristic or status. For more information, please visit Know Your Rights.

Reasonable Accommodations

TFD complies with applicable federal, state, and local disability laws and makes reasonable accommodations for applicants and employees with disabilities.  If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact humansops@thefarmersdog.com.

We're Here to Help

We’re happy to answer any questions you may have about the position or our hiring process - please reach out at careers@thefarmersdog.com.

We commit to building a competitive compensation package and company environment for all individuals to thrive. We believe in competitive base compensation rooted in location specific market data and performance along with equity ownership in the company that allows every team member to build their personal wealth as the company grows, just as much as we believe in fostering a culture that supports our team members personally, professionally, and holistically. For this role the anticipated hiring base compensation range is USD annual and the compensation offered will include a robust market competitive package of base and equity. In addition to your base compensation offer you will also receive equity ownership in the company. More information about the value of this equity will be shared at the time of offer. This range is representative of NYC Market Data if you are applying to this role outside of the NYC area the range may change.

NYC Pay Range$130,000—$145,000 USD

Source: The Farmer's Dog careers (Greenhouse)

Similar roles