Senior Data Engineer

independencepetgroup; Chicago (IL); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Healthcare

Parental leave

HSA

FSA

PTO

Retirement plan

Wellness Day off

Group Pet Insurance

Pet-friendly office

Commuter benefits

On-the-job training

EAP

Job summary

Independence Pet Holdings seeks a Senior Data Engineer to design and optimize data pipelines across a modern Delta lake architecture. You will implement robust data quality checks, govern data lineage, and collaborate with cross-functional teams to support product development.

The role requires 7+ years in ELT/ETL, proficiency in Python/SQL/PySpark, and hands-on experience with Databricks and Azure data services. On-site role with a comprehensive benefits package.

Qualifications

• Bachelor's degree in computer science, information technology, or related field.
• 7+ years of experience building data pipelines (ELT/ETL).
• Experience with Databricks, Spark, and Azure data services.
• Strong coding skills in Python, SQL, and PySpark.
• Experience designing CDC and event/stream processing pipelines.
• Proficiency with NoSQL and SQL databases.
• Data modeling, schema design, and performance optimization.
• Familiarity with JSON, Parquet, ORC formats.
• Experience with CI/CD (Azure DevOps, GitLab) and deployment automation.
• Knowledge of data governance, lineage, and cloud security.

Responsibilities

• Design, develop, and deploy scalable data pipelines using Databricks.
• Optimize pipeline performance for cost and efficiency.
• Build robust data models in data lakes for diverse use cases.
• Implement data quality controls and governance practices.
• Integrate Databricks with Azure storage and security services.

Skills

Data engineering

Python

SQL

PySpark

Data modeling

Cloud security

Education

Bachelor's degree in CS/IT

Tools

Databricks

Spark

Azure Data Lake Storage

Azure

Azure DevOps

GitLab

CI/CD

CDC

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.

About US: Clarus, a Doubtless company, is a pioneering pet health technology company on a mission to transform the future of pet healthcare. We are dynamic entrepreneurs improving pet health by providing trusted and transparent information across the entire pet health landscape. Join us in shaping a smarter, healthier future for pets everywhere. As we expand, we are looking for a seasoned Senior Data Engineer , in the data team, who can hit the ground running by building data pipelines across the medallion architecture.

Role Overview: We are seeking a skilled Data Engineer to join our team. The successful candidate will be responsible for development and optimization of data pipelines, implementing robust data checks, and ensuring the accuracy and integrity of data flows. This role is critical in supporting the product development processes.

Key Responsibilities

• Design, develop, and deploy robust and scalable data pipelines using Databricks, integrating data from various sources.
• Optimize pipeline performance for greater efficiency and cost-effectiveness.
• Contribute to the design and implementation of robust data models in the data lake environment, ensuring data consistency, integrity and accessibility for various use cases.
• Implement rigorous data quality controls and validation procedures throughout the data pipeline to ensure high accuracy and reliability. Comply with the data governance policies and best practices.
• Seamlessly integrate Databricks with Azure cloud services for storage, compute and security, leveraging services like Azure Data Lake Storage.

Qualifications

• Bachelor's degree in computer science, Information Technology, or related field.
• At least 7 years of experience in building data pipelines using ELT/ETL.
• Experience working with Databricks, Spark, and Azure data services.
• Strong coding skills with Python, SQL and PySpark.
• Experience designing and maintaining config-driven pipelines with support for Change Data Capture (CDC) and event/stream-based processing.
• Proficiency with NoSQL and SQL databases.
• Strong understanding of data modeling, schema design, and database performance optimization.
• Practical experience working with various file formats, including JSON, Parquet, and ORC.
• Hands-on experience building and maintaining CI/CD pipelines (Azure DevOps, GitLab) and automating data workflow deployments.
• Solid understanding of data governance, lineage, and cloud security (Unity Catalog, encryption, access control).
• Excellent problem-solving and analytical skills.
• Experience with data modeling tools and techniques.
• Knowledge of cloud-based data solutions and platforms.

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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