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Data Engineer

Full-time
Remote worldwide
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Data Engineer

About Mynd:

Mynd is a tech-enabled real estate company serving the $85B+ property management and real estate investment market. In the past few years, consumers have gained access to free stock trades, greater transparency in the mortgage market, and apps that make managing their money more convenient. Yet real estate investment, the most powerful tool for building generational wealth, has largely been the purview of wealthier individuals and professional money managers.

Mynd is determined to overhaul that paradigm.

At Mynd, we’re on a mission to democratize access to happy homes and sustainable investments by making the purchase of single-family residential real estate as effortless as other types of investments. Investing in real estate can be intimidating, especially for first-time buyers. Moreover, many potential investors don’t want to buy real estate in their geographic area, or have been priced out of competitive big city housing markets.

With operations in 25 markets across the U.S. and real-time insights via our platform, we remove the time, communication, and geographic barriers traditionally associated with buying real estate. Investors can now find, purchase, lease, manage, and sell single-family rental properties 100 percent remotely.

Mynd is Best Places to Work certified, a Built In SF Best Places to Work 2022 winner, and was named the #1 fastest-growing East Bay company by the San Francisco Business Times in 2021. We’ve attracted talent from Starwood Waypoint Homes, The New York Times, McKinsey, BCG, Compass, Better, One Medical, Zillow, Upwork, WeWork, and Facebook. We’re backed by top VCs, including Lightspeed, Canaan, Jackson Square, and QED, and recently announced a $5 billion deal with Invesco Real Estate that will make us the largest buyer of single-family rental homes in the country.

Join us!

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 Real Estate 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

Being 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.

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 offer a robust, competitive & unique benefits package:

  • Unlimited time off
  • Paid Parental Leave
  • Cash to purchase your own investment property through our “Project Investor Myndset” program
  • 401k + Match
  • Wellness, home office, and cell phone subsidies
  • Volunteer time off
  • Robust health, dental, vision insurance, and more
  • Sabbatical program

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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