Senior Analytics Engineer

Senior Analytics Engineer

This job is no longer open
Bungalow is the largest and fastest-growing roommate living company in the United States. We’re on a mission to create a world where everyone can truly feel at home, wherever they want to live.

We work with homeowners across the US to take the hassle out of property management and maximize what they earn so we can provide renters with the best homes the market has to offer. 

And we know it can be challenging living with roommates, but we believe it’s worth it. We’re removing the hassle from moving and everyday living and providing an affordable product that helps people live in the cities where they have better access to opportunity.

Role Overview
Join our community! Bungalow is looking for a Senior Analytics Engineer to build and improve the data analytics models and their pipelines. Your efforts will be aligned with the industry best practices and standards across the organization.

Working cross-functionally with our engineering, product and data science teams, you will be responsible for enabling the future supply growth of the company - the most meaningful area to impact change in the business during the next 12 months. The data that you help model, organize and optimize will power data science algorithms to allow the supply sales team to identify, underwrite, and close deals significantly faster, at a higher level of accuracy, and with less humans in the loop.

An ideal candidate will share a passion for our core mission and is fuelled by building modern, high-quality products and systems. Someone with a positive attitude, and an empathy-first approach to working with peers and customers - a person who’s not afraid to take on tough challenges with a team.

Our core engineering values are being human-focused and team-centric – we’re continual learners who give each other permission to fail and take ownership over the things that we build. Our fast-paced, ever-changing environment requires us to move quickly, and constantly adapt. We are ruthlessly analytical, ensuring our decisions are data-driven, well-considered while maintaining a high bar for the quality of delivery.

What You'll Do

    • Develop meaningful data models in SQL/Python
    • Work closely with the data science, data engineering, product and finance teams
    • Maintain our data models with industry best practices
    • Design robust scalable data model architectures  
    • Build proof-of-concept models for bootstrapping new business initiatives

Who You Are

    • 4+ years of experience in software engineering and/or data positions
    • 1+ years of analytics engineering experience in a production environment
    • Strong aptitude with Python and advanced SQL (window functions, analytics functions, complex joins, etc.)
    • Familiar with data modeling approaches and their performance trade-off
    • Hands-on experience implementing ELT (or ETL) best practices at scale
    • Experience with a data warehouse or data lake
    • Experience with monitoring and alerting tools like AWS Cloudwatch or PagerDuty
    • Strong attention to detail, great communication, and an ownership mentality
    • Team player who can work cross-functionally across engineering, data science, and business
    • Comfortable working in a remote environment

Technology Ecosystem

    • Languages:  SQL, Python (3.8+)
    • Frameworks and tools: DBT, Airflow
    • Data: AWS Athena, AWS Redshift, AWS Glue
    • CI/CD: Github Actions
    • Other: Git
#LI-Remote

What We Value
1. Build better. Always challenge the status quo, constantly look for ways to improve across the entire organization.
2. Focus on impact. Ruthlessly prioritize and continue to ask: "Does it scale?"
3. Community first. We always look for ways to make our applicants, customers, and teammates feel more at home. We are the steady & trusted source for members new and old.
4. Feedback obsessed. We are constantly looking for feedback (from customers & teammates) in order to find ways to improve our experience across all facets of the organization. We never settle for the status quo, we consistently drive progress and growth by challenging our mindset and iterating our processes.
5. Move fast. We are less afraid of making mistakes than we are of losing opportunities by moving too slowly. We are a culture of builders & innovators.
6. Be an owner. You are the expert & ruler of your domain. If you see something broken, fix it or work with the team to make sure we are always at our best. Always look for ways to improve organizationally and personally.

Life at Bungalow
- Remote-first company culture
- Optional co-working hubs in San Francisco, Salt Lake City, Miami, and Ontario
- Competitive cash compensation and stock options
- Comprehensive medical, dental, vision, life, and disability benefits; employee premiums are 100% employer-paid
- 401(k) sponsored by Fidelity
- $200 monthly wellness stipend and weekly meditation and yoga classes
- Generous time-off policy + 11 company holidays
- Up to 16 weeks of fully paid parental leave for both caregivers

Additional Information
Founded in 2017 by Andrew Collins and Justin McCarty, Bungalow is the premier residential real estate marketplace. With leading investors, such as Atomic, Khosla Ventures, Coatue, Founders Fund, and Deer Park Road, Bungalow is rethinking the residential real estate market by providing renters with a more convenient, flexible, and communal living situation. To ensure our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. For more information, visit www.bungalow.com and check out our Series-C funding coverage here!

Applicant Notice

The California Consumer Privacy Policy Act (the "CCPA") obligates covered businesses to disclose to consumers (including employees and job applicants), at or before the point of collecting personal information ("PI"), the categories of PI to be collected and the purposes for which the categories of PI shall be used. 

In the course of the job application process, we may collect the following categories of PI for the purposes of evaluating you as a job applicant:

- Identifiers such as a real name, alias, postal address, unique personal identifier, online identifier, Internet Protocol address, email address, account name, driver’s license number, passport number, social security number, or other similar identifiers;
- Professional, education, or employment-related information;
- Other information you voluntarily provide to us, including, without limitation, demographic information, benefits information, or family and dependent information. 

Currently, we are implementing procedures in order to reduce the risk of spreading the COVID-19 virus in and throughout the workplace. Therefore, we are notifying you that if you visit our physical offices and facilities for an interview, we also may collect the following additional category of PI: medical and health information. Specifically, we may collect your body temperature along with information about whether you have or display certain symptoms such as fatigue, cough, sneezing, aches and pains, runny or stuffy nose, sore throat, diarrhea, headaches, or shortness of breath, whether you have recently been in close contact with anyone who has exhibited any of these symptoms, and whether you have recently been in contact with anyone who has tested positive for COVID-19.

We will not collect any additional categories of personal information or use your personal information collected for any other purpose without providing you with additional notice consistent with the CCPA.
This job is no longer open
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