Analytics Engineer

Roofstock; San Francisco (CA); Hybrid; USD 130,000 - 150,000; Full time

Job summary

Roofstock is seeking an Analytics Engineer to enhance data quality and expand the organization’s data literacy. You will optimize data for downstream users, collaborate with various teams, and maintain existing data products. This hybrid position requires effective communication and a strong technical background in data management and analysis, poised for growth in the real estate investment sector.

Benefits

Generous PTO Policy

401k Program

Wellness subsidies

Health, dental, and vision insurance

Qualifications

• 3-5 years of experience as a Data Engineer or Analytics Engineer.
• Proficiency in SQL and exposure to DBT required.
• Strong verbal and written communication skills.

Responsibilities

• Optimize and aggregate raw data into a consumable format for downstream users.
• Collaborate with the Data team for streamlined processes.
• Develop and maintain DBT data models with documentation and testing.

Skills

Data Modeling

Data Analysis

Communication

Team Collaboration

Data Governance

Education

Bachelor's degree in Computer Science

Tools

SQL

DBT

JIRA

Job description

Join to apply for the Analytics Engineer role at Roofstock

Join to apply for the Analytics Engineer role at Roofstock

As the leading end-to-end investment platform for single-family rental homes (SFR), our mission is to make real estate investing radically accessible, cost effective, and simple. We successfully merge our passion for helping investors build wealth through real estate with cutting edge technology that transforms the way they do it.

How it’s going (and growing)

With a talented team of 600+ Roofsters, our collaborative, can-do culture is what fuels our growth. In 2022, we closed on our Series E, raising $240 million, and have offices in California, Texas, and New York as well as many remote opportunities. Our growth includes recent acquisitions of Stessa (financial and asset management software), RentPrep (tenant screening and placement service for landlords), and Mynd (property management platform for both Retail and Institutional investors). In 2025, Roofstock took an ownership stake in Casago (short-term rental management services), expanding our platform to support both long-term and short-term rental investment services.

About the role:

Roofstock is seeking an Analytics Engineer to join our Data team. This person will be responsible for building and testing new curated data products, own existing internal data products, expand organizational literacy and detect data anomalies. Our ideal candidate will be a collaborative and inspiring technical engineer with a track record of delivering data and be excited to bridge the gap between our team of engineer data analysts and business users. Help us build, maintain, scale, transform, test and document our data to ensure Roofstock is strategically positioned to use our data for growth and development.

Responsibilities:

• Optimize and aggregate raw data into a consumable format for downstream users
• Implement and utilize engineering best practices and methods to provide quality curated data sets
• Collaborate with Data team to streamline processes and warehouse environment
• Work cross-functionally across the entire organization to democratize our data strategy, foster data literacy and provide process around data governance
• Work hands-on with tools in our data stack including: Snowflake, DBT, Git
• Develop and maintain DBT data models using best practices including documentations, testing
• Maintain and monitor existing data products
• Learn, adapt and utilize new methods of analysis when necessary.

Qualifications:

• Bachelor's degree in Computer Science, Engineering or related
• 3-5 years of experience as a DE/Analytics Engineer or data engineering
• High level of competency in modeling data
• Excellent verbal and written communication skills. Able to effectively communicate with executives, operations and engineers.
• Able to work remotely and communicate with customers and team mates via Google Meets, Slack and Gmail.
• Must be organized and manage work through a ticketing system like JIRA.
• Proficiency in SQL is a must. Exposure to DBT is a must. Familiarity with Python is a plus.
• Must be able to navigate databases and utilize BI tools.
• Ability to collect problem statements from business and deliver data driven insights using various statistical and analytical methods.
• Excellent ability to analyze information and think systematically.
• Works well independently and as part of a team.
• An understanding of Property Management and Real Estate is a plus.

Location

Bay Area/Oakland, CA

This position is classified as HYBRID within the Greater Oakland Area with an expectation to be in-office on Tuesdays and Thursdays weekly.

Travel Required

n/a

Compensation

$130,000 - $150,000 annual base salary. The compensation range may be adjusted based on experience and location.

Pay Transparency

Our compensation reflects several US geographic markets. The base pay for this position represents the expected salary for this position. Ultimately, in determining your pay it will be based on several factors including location, job-related knowledge, skills, experience and other job related factors. Roofstock is a total compensation company; the base salary is only a part of our total compensation package.

• Generous PTO Policy
• 13 Paid Holidays
• 401k Program
• Wellness and home office/cell phone subsidies
• Robust health, dental, vision insurance, and more

Must be authorized to work in the U.S. is a precondition of employment and we are unable to sponsor H1-B Visas at this time.

Any offer of employment is conditioned upon the successful completion of a background investigation.

Commitment to Equal Employment Opportunity

The company provides equal opportunity in all of our employment practices to all qualified employees and applicants without regard to race, color, religion, sex, gender, gender expression, gender identity, national origin, ancestry, citizenship, age, physical or mental disability, marital status, sexual orientation, military or veteran status, genetic information or any other category protected by federal, state and local laws. This policy applies to all aspects of the employment relationship, including recruitment, hiring, compensation, promotion, transfer, disciplinary action, layoff, return from layoff, training and social, and recreational programs. All such employment decisions will be made without unlawfully discriminating on any prohibited basis.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

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