Data Engineer

Independence Pet Holdings; New York (NY); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Healthcare

Parental Leave

HSA

FSA

Retirement plan

PTO

Wellness Day off

Volunteer time off

Pet-friendly office

Commuter Benefits

Group Pet Insurance

On the job training

EAP

Job summary

Independence Pet Holdings’ IDEA Data & Enterprise Analytics group is seeking a Data Engineer to build and operate enterprise-scale data platforms and pipelines across brands. You will design scalable solutions and collaborate with product, analytics, and operations teams.

The role emphasizes reliability, data quality, and governance, with hands-on work on dbt, Databricks, Airflow, and cloud services. Experience in consumer data domains like pet insurance or e-commerce is a plus.

Qualifications

• 3 years building and scaling cloud-based data platforms and pipelines.
• Strong SQL and Python skills, with a focus on automation, performance, and reliability.
• Experience with large-scale datasets, structured and unstructured data.
• Hands-on experience with modern data stack tools and streaming systems.
• Proficiency with AWS data services and ETL/ELT workflows.
• CI/CD, Git, and infrastructure-as-code experience.
• Ability to lead projects, influence stakeholders, and mentor others.

Responsibilities

• Design, build, and scale cloud-based data platforms and pipelines to support analytics, product, and operations.
• Own critical data workflows, ensuring reliability, performance, and quality.
• Implement modern data solutions using dbt, Databricks, ELT frameworks, and cloud platforms.
• Apply CI/CD, Git, testing, monitoring, and infrastructure-as-code practices.
• Collaborate with cross-functional teams to translate business needs into scalable data solutions.

Skills

SQL

Python

AWS

Data pipelines

ETL/ELT

CI/CD

Databricks

dbt

Airflow

Kafka/Kinesis

Tools

dbt

Airflow

Fivetran

Databricks

AWS

Kafka

Kinesis

Job description

Established in 2021, Independence Pet Holdings is a corporate holding company that manages a diverse and broad portfolio of modern pet health brands and services, including insurance, pet education, lost recovery services, and more throughout North America.

We believe pet insurance is more than a financial product and build solutions to simplify the pet parenting journey and help improve the well-being of pets. As a leading authority in the pet category, we operate with a full stack of resources, capital, and services to support pet parents. Our multi-brand and omni-channel approach include our own insurance carrier, insurance brands and partner brands.

Job Summary

IDEA (IPH Data & Enterprise Analytics) is an enterprise data organization responsible for building and operating the data platform, governance framework, and analytics capabilities that power decision-making across all brands. The team brings together experienced data leaders and engineers from across IPH and beyond to create a unified, enterprise-scale data function. Organized around four core pillars—Data Strategy & Planning, Infrastructure & Data Engineering, Enterprise Data Governance, and Analytics & Reporting—IDEA partners with teams across the organization to architect, manage, and activate data & analytics so every IPH team can make faster, smarter, and more informed decisions. As a result, we are looking for a Data Engineer to join the organization.

The Data Engineer will play a critical role in shaping IPH’s data ecosystem, building the platforms and pipelines that enable smarter decisions across analytics, product, and operations. This person will bring both technical excellence and a collaborative mindset, designing scalable, high-performance data solutions while ensuring reliability, quality, and accessibility. Ideal candidates have experience in pet insurance or other consumer-facing industries like e-commerce or subscription businesses and are passionate about translating complex business needs into actionable data solutions. Beyond coding and architecture, this role is about fostering strong partnerships across teams, mentoring peers, and championing best practices that make data engineering a force multiplier for the organization.

Job Location:

Remote | Hybrid – United States; Chicago, New York, or Columbus, OH

Ain Responsibilities

• Design, build, and scale cloud-based data platforms and pipelines (batch and streaming) to support analytics, product, and operational use cases.
• Own critical data workflows, ensuring reliability, performance, and quality across the data ecosystem.
• Implement modern data solutions using tools like dbt, Databricks, ELT frameworks, and other cloud platforms (AWS, Snowflake).
• Apply best practices in CI/CD, Git, testing, monitoring, and infrastructure-as-code.
• Collaborate effectively with cross-functional teams, balancing technical rigor with strong interpersonal skills to translate business needs into scalable, accessible data solutions.

Qualifications

• 3 years building and scaling cloud-based data platforms and pipelines.
• Strong SQL and Python skills, with a focus on automation, performance, and reliability.
• Experience with large-scale datasets, structured and unstructured
• Hands-on experience with modern data stack tools (dbt, Airflow, Fivetran, Databricks) and streaming/event-driven systems (Kafka, Kinesis).
• Solid experience with AWS data services and ELT/ETL workflows.
• Proficiency in CI/CD, Git, and infrastructure-as-code.
• Proven ability to lead projects, influence stakeholders, and mentor others.

Preferred Qualifications

• Experience designing data platforms at scale in a high-growth or startup environment.
• Familiarity with customer-centric tools like Segment, Stripe, Salesforce, or mParticle
• Experience supporting analytics, machine learning, or personalization initiatives with robust data foundations.
• Knowledge of data privacy and compliance best practices (e.g., GDPR, CCPA).
• Prior contributions to open-source projects, internal data tooling, or technical blogs/presentations.

#iph

All of our jobs come with great benefits including healthcare, parental leave and opportunities for career advancements. Some offerings are dependent upon the location of where you work and can include the following:

• Comprehensive full medical, dental and vision Insurance
• Basic Life Insurance at no cost to the employee
• Company paid short-term and long-term disability
• 12 weeks of 100% paid Parental Leave
• Health Savings Account (HSA)
• Flexible Spending Accounts (FSA)
• Retirement savings plan
• Personal Paid Time Off
• Paid holidays and company-wide Wellness Day off
• Paid time off to volunteer at nonprofit organizations
• Pet friendly office environment
• Commuter Benefits
• Group Pet Insurance
• On the job training and skills development
• Employee Assistance Program (EAP)

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