About Mynd:

Mynd is a tech-enabled real estate company serving an $85B+ property management and real estate investment market. In the past few years, financial services disruptors like E-Trade, Schwab, and Robinhood have unlocked access to the stock market, minting a new generation of self-service investors. Yet we at Mynd believe that real estate remains the most powerful tool for building generational wealth. 

We’re on a mission to create happy homes and healthy investments by offering best-in-class property management services and making SFRs as accessible and effortless as other types of investments. Investing in real estate can be intimidating, especially for first-time buyers. Plus, many potential investors don’t want to invest in real estate in their geographic area or have been priced out of competitive big city housing markets. Through localized operations in 25 markets across the US, and real-time insights via our platform, we remove the time, communication, and geographic barriers traditionally associated with real estate. Investors can now find, purchase, rent, manage, and sell single-family rental properties 100% remotely.

Mynd was named the #1 fastest-growing private company in the Bay Area by the San Francisco Business Times in 2020. We’ve attracted talent from Starwood Waypoint Homes, McKinsey, Shift, Better, BCG, One Medical, Zillow, Upwork, and Facebook. We’re backed by top VCs, including Lightspeed, Canaan, and Jackson Square, and just announced a $5 billion deal with Invesco Real Estate that will make us the largest buyer of single-family rental homes in the country. Most importantly, we’re a kind and fun team of innovators who truly enjoy ushering in a new generation of real estate investors.

About the role:

We are looking for a Data Engineer to work on developing and maintaining data solutions and data pipeline infrastructure supporting broader data-heavy functions within the company, including Reporting, Analytics and Data Science. The Data Engineer collaborates with Software Development and DevOps teams to maintain scalability, reliability and maintainability of the company’s overall technical stack. The Data Engineer also works closely with business and product teams to ensure timeliness and efficiency of data-driven decision making. 

We operate a modern data stack that includes AWS, Snowflake, Fivetran, Airflow, DBT, Datarobot and Sisense. We also implement integrations with multiple ERP, CRM and Marketing solutions and proprietary systems of Retail Industry and Technology partners.

The primary focus of this role is to design, develop and implement clean and structured data for use by analysts and reporting. Responsibilities also include quality documentation and guidance on data engineering best practices.

Responsibilities:  

• Operates in a remote-first environment collaborating with individuals and teams distributed across multiple time zones worldwide
• Works with internal partner teams, and, occasionally, external partners on defining the scope and the requirements for data engineering projects
• Designs, develops and implements data engineering solutions
• Maintains work performance, transparency, and process compliance through usage of the company’s task tracking tools and communication channels 
• Participates in projects of a broader Engineering and Data teams by acting as SME and as a contributor to business and engineering initiatives 
• Works on continuous improvement of Mynd data engineering practices through platform/tools evaluation, documentation, knowledge sharing, etc

Qualifications:

• Flexibility in adjusting to technology stack selection. Ability and desire to learn new technologies quickly
• Strong proficiency in data modeling  
• SQL fluency, preferably with exposure to multiple dialects 
• Scripting skills relevant to development of data pipelines (strong preference for Python)
• Understanding of QA practices relevant to data engineering 
• Familiarity with source control tools and CI/CD
• Understanding of performance tuning across multiple components of the technical stack
• Bonus points for more extensive experience with Mynd’s data stack - AWS, Snowflake, Fivetran, Airflow, DBT, Datarobot and Sisense

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

Covid-19:

Mynd is closely following the 2019 Novel Coronavirus Disease (COVID-19) and implementing processes that promote the safety of our employees, candidates, owners, residents and communities.  The health and safety of our employees and contractors around the world continues to be our top priority as we face the challenges associated with COVID-19.  Leaders across Mynd meet regularly to consider the evolving situation and are doing all we can to keep our teams healthy.

At Mynd, we encourage all of our team members to: 

• Be Myndful
• Always Be Entrepreneurial 
• Earn Trust
• Play Team First
• Be an ‘A’ Player
• Think Like An Investor 

As part of our dedication to diversity, Mynd is an Equal Opportunity Employer. Individuals seeking employment at Mynd are considered without regard to race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, citizenship status, or any other legally protected category.

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