HOVER uses patented technology making it possible for anyone with a smartphone camera to create an interactive 3D model, complete with detailed measurements and powerful design features. The data produced is extremely valuable as it generates a single source of truth for the physical world allowing for more veracity throughout the home improvement and insurance processes. We’ve found an incredibly strong product-market fit across exterior home improvement, insurance, and financial services. What's the secret sauce? Cutting edge technology, an exceptional culture, and a commitment to our values (Think. Do. Serve.).
With our team of investors, including Google Ventures and Menlo Ventures, HOVER is committed to continuing our success and facilitating growth. We believe there is strength in diversity so we hire skilled and passionate people from a wide variety of backgrounds.
Why HOVER wants you:
HOVER is looking for a data expert who is equally comfortable with writing code and helping business stakeholders understand data. You’ll help teammates and customers get the data they need that directly drives business and customer growth.
The data engineering team is made up of data engineers, analysts, and scientists. We work cross-functionally and fullstack delivering data pipelines, scripting automation, building data models, and integrating data into 3rd party tools. You’ll work with Python, SQL, GCP, Airflow, Tableau and help to select and implement our new ETL architecture to help business stakeholders understand data that will impact the company.
You will contribute by:
On a daily basis, you’ll write SQL and Python to build out data pipelines in Airflow. You’ll manage our Snowflake data warehouse and Tableau. You’ll assess and implement automated or semi-automated tools and techniques to monitor the efficiency, quality, completeness, and accuracy of those data pipelines ideally using cloud-based and/or open-source tools for ETLs and data quality. You’ll also consult with Hover’s Engineering team to maximize the value we get from tools for feature flagging and experimentation (split.io), data integration (Segment), and customer reporting (Matik & Snowflake Data Sharing).
Your background includes:
By submitting your application, you are agreeing to HOVER's use and processing of your data as described in the notice linked above.
Competitive salary and meaningful equity in a fast-growing company
Comprehensive medical, dental, and vision coverage for you and dependents
Paid Time Off
Unlimited PTO for exempt employees and PTO accrued at 3 weeks per year for non-exempt employees
Paid Family Leave
We support work/life balance and offer generous paid parental and new child bonding leave
Mandatory Self-Care Days
A day set aside each month to allow employees to recharge
Remote Wellbeing Resources
We provide recurring fitness classes, meditation/ mindfulness tools, virtual therapy, and family planning assistance
We encourage continued education and will help cover the cost of management training, conferences, workshops, or certifications
What is your desired working location?*
Are you open to relocation? *
How many years of experience do you have working as a Data Engineer in a professional environment?*
Briefly describe your experience working with a modern data stack.*
Briefly describe how you work with stakeholders in your current role.*
U.S. Equal Employment Opportunity Information (Completion is voluntary)
Individuals seeking employment at HOVER are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic(s) protected by applicable law. HOVER requests information on the race/ethnicity, gender, and veteran status of our applicants for monitoring equal employment opportunity and as part of the Company’s commitment to a diverse and inclusive workplace. Completing this survey is voluntary. All responses are kept private and will not affect your candidacy for employment.
Completing this survey is voluntary. All responses are kept private and will not affect your candidacy for employment.
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