Sr. Data Engineer

Porch Group is a leading vertical software and insurance platform and is positioned to be the best partner to help homebuyers move, maintain, and fully protect their homes. We offer differentiated products and services, with homeowners insurance at the center of this relationship. We differentiate and look to win in the massive and growing homeowners insurance opportunity by

1) providing the best services for homebuyers

2) led by advantaged underwriting in insurance

3) to protect the whole home

As a leader in the home services software-as-a-service (“SaaS”) space, we’ve built deep relationships with approximately 30 thousand companies that are key to the home-buying transaction, such as home inspectors, mortgage companies, and title companies.

In 2020, Porch Group rang the Nasdaq bell and began trading under the ticker symbol PRCH. We are looking to build a truly great company and are JUST GETTING STARTED.

Job Title: Senior Data Engineer
Location: India  
Workplace Type: Remote  

Job Summary 

The future is bright for the Porch Group, and we’d love for you to be a part of it as our Senior Data Engineer

We are seeking a Senior Data Warehouse Engineer to join our data team as a key individual contributor. In this role, you will be responsible for building, optimizing, and maintaining the data pipelines that power our business intelligence and reporting.

You aren't just writing code; you’re ensuring our data reflects the complex realities of our SaaS and insurance operations. You will work closely with lead architects to implement scalable solutions and serve as a subject matter expert in SQL and database performance.

What You’ll Do As A Senior Data Engineer

• Pipeline Development: Build and monitor robust ETL/ELT pipelines using BigQuery, Dataflow, and Cloud Composer.
• Expert SQL Execution: Develop high-performance SQL scripts for complex data transformations, ensuring accuracy across multiple datasets.
• Schema Management: Contribute to the design and refinement of data models (Star/Snowflake) to support evolving business requirements in the insurance and SaaS space.
• Performance Tuning: Proactively identify and resolve bottlenecks in data pipelines, optimizing for both query speed and cloud cost-efficiency.
• Cross-Functional Collaboration: Partner with Data Analysts and stakeholders to translate business logic—such as churn rates or claims ratios—into technical specifications.
• Code Quality: Participate in peer code reviews and maintain documentation to ensure the long-term health of our data warehouse.

What You Will Bring As A Senior Data Engineer

• Experience: 5+ years of professional data engineering experience, specifically within cloud-based data warehouses.
• GCP Proficiency: Solid experience with the Google Cloud ecosystem, including BigQuery, Cloud Storage, and IAM best practices.
• SQL Mastery: Expert-level proficiency. You should be comfortable with window functions, recursive CTEs, and query plan analysis.
• Database Best Practices: Strong grasp of indexing, partitioning, clustering, and data warehousing lifecycle management.
• Business Context: Familiarity with metrics common to SaaS (MRR, Churn) or Insurance (Premiums, Claims, Actuarial data) is highly valued.

Soft Skills & Values

• Detail-Oriented: You take pride in data integrity and "clean" code.
• Collaborative: You enjoy working as part of a high-functioning team and are comfortable contributing to shared goals.
• Adaptability: You can pivot between building new features and troubleshooting legacy pipelines as business needs change.
• Proven experience working with US based business teams.
• Excellent written and communication skills in English language.
• Working Hours: 8 Hours (Excluding breaks)  
  4 Core US Hours Overlap (7:30pm- 11:30pm IST)  
  4 flexible hours (IST)
• Workspace: A quiet space to work, an internet connection of at least 30 Mbps download | 10 Mbps upload  

The application window for this position is anticipated to close in 2 weeks (10 business days) from March 10, 2026. Please know this may change based on business and interviewing needs.

What You Will Get As A Porch Group Team Member  

Pay Range*: INR 2,475,000 - INR 3,465,000 annually 

*Please know your actual pay at Porch will reflect a number of factors among which are your work experience and skillsets, job-related knowledge, alignment with market and our Porch employees, as well as your geographic location. 

• Our benefits include medical insurance, accident insurance and retiral benefits. 
• Our wellness programs include 12 company-paid holidays, 2 flexible holidays, privilege/earned leave, casual/sick leave, paid maternity and paternity Leaves, and weekly wellness events. 

#LI-SK1
#LI-REMOTE

What’s next?

Submit your application below and our Talent Acquisition team will be reviewing your application shortly! If your resume gets us intrigued, we will look to connect with you for a chat to learn more about your background, and then possibly invite you to have virtual interviews. What's important to call out is that we want to make sure not only that you're the right person for us, but also that we're the right next step for you, so come prepared with all the questions you have!

Porch is committed to building an inclusive culture of belonging that not only embraces the diversity of our people but also reflects the diversity of the communities in which we work and the customers we serve. We know that the happiest and highest performing teams include people with diverse perspectives that encourage new ways of solving problems, so we strive to attract and develop talent from all backgrounds and create workplaces where everyone feels seen, heard and empowered to bring their full, authentic selves to work.

Porch is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable laws, regulations, and ordinances.