高级数据工程师

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 Warehouse 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 Warehouse Engineer with the Data team.
Porch Group is looking for 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 Will Do As A Senior Data Warehouse Engineer

• Build and monitor robust ETL/ELT pipelines using BigQuery, Dataflow, and Cloud Composer.

• Develop high-performance SQL scripts for complex data transformations, ensuring accuracy across multiple datasets.

• Contribute to the design and refinement of data models (Star/Snowflake) to support evolving business requirements in the insurance and SaaS space.

• Proactively identify and resolve bottlenecks in data pipelines, optimizing for both query speed and cloud cost-efficiency.

• Partner with Data Analysts and stakeholders to translate business logic, such as churn rates or claims ratios, into technical specifications.

• Participate in peer code reviews and maintain documentation to ensure the long-term health of the data warehouse.

• Perform other data engineering related duties or projects, as assigned.

What You Will Bring As A Senior Data Warehouse Engineer

• 5+ years of professional data engineering experience, specifically within cloud-based data warehouses.

• Solid experience with the Google Cloud ecosystem, including BigQuery, Cloud Storage, and IAM best practices.

• Expert-level SQL proficiency, including comfort with window functions, recursive CTEs, and query plan analysis.

• Strong grasp of indexing, partitioning, clustering, and data warehousing lifecycle management.

• Familiarity with metrics common to SaaS (MRR, Churn) or Insurance (Premiums, Claims, Actuarial data) is highly valued.

• Detail-oriented, with pride in data integrity and clean code.

• Collaborative, enjoys working as part of a high-functioning team, and comfortable contributing to shared goals.

• Adaptable, able to pivot between building new features and troubleshooting legacy pipelines as business needs change.

• Candidates that have worked in IT/Data for a United States based publicly owned company preferred.

• Excellent written and communication skills in the English language.

• Proven experience working with US based business teams.

• Ability to work within core US business hours / time zone expectations - Eastern Standard Time (EST) overlap.

• Working Hours: 8 Hours (Excluding breaks)
• 4 Core US Hours Overlap (7:30pm- 11:30pm IST)
• 4 flexible hours (IST)

• Workspace: A quiet, dedicated space to work, and a reliable internet connection with a minimum speed of 50 Mbps.

What You Will Get As A Porch Group Team Member
Pay Range*: ₹24,75,000 – ₹34,65,000 INR 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 package will provide you with comprehensive coverage for your health, life, and financial wellbeing.

• 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.

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.
Originally posted on Himalayas