Data Engineer

Independence Pet Group

New York (NY)

Hybrid

USD 110,000 - 150,000

Full time

14 days+
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Benefits offered by this job

Health insurance
Parental leave
HSA (Health Savings Account)
FSA (Flexible Spending Accounts)
Retirement plan
Paid time off
Wellness day off
Volunteer time off
Pet friendly office
Commuter benefits
Group Pet Insurance
On the job training and skills dev.
EAP

Job summary

Independence Pet Holdings is seeking a Data Engineer for the IDEA organization (Data & Enterprise Analytics) to build and operate a unified enterprise-scale data function across brands. You will work on cloud-based data pipelines, governance, and analytics to empower faster, smarter decisions.

The role emphasizes collaboration with cross-functional teams, implementation of modern data stack tools, and experience with streaming and batch processing in a high-growth environment.

Qualifications

  • 3 years building and scaling cloud-based data platforms and pipelines.

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.

Skills

SQL
Python
Cloud data platforms
dbt
Airflow
Fivetran
Databricks
Kafka
Kinesis
AWS
CI/CD
Git
leadership
mentoring

Tools

dbt
Airflow
Fivetran
Databricks
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.

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)

Interview Technology Notice:

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By continuing with the interview, you consent to this use.

Text Messaging Notice:

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