Block Renovation Data Analytics Engineer

ABOUT US

Block is a renovation platform transforming the $450 billion renovation industry. Today, doing a home renovation is an abysmal consumer experience and not easy for contractors either. Block democratizes access to high-end design, while combining design, construction, and materials into a streamlined experience. Block simplifies a complex and convoluted process and gives homeowners certainty on outcomes, quality, price, and time. 

Our mission is to give homeowners a better way to improve the spaces they live in, and to give contractors a better way to work. We are building an ambitious, tenacious, and creative team who is unafraid of tackling new challenges. The founders are former leaders at Casper, HuffPost, and Rent the Runway. Investors include New Enterprise Associates, Lerer Hippeau, Giant Ventures, Obvious Ventures, MorningSide Ventures

RESPONSIBILITIES

As the first Data Analytics Engineer, you will build the infrastructure, establish the patterns and processes, and integrate the tools to empower a data-driven culture at Block. Renovations are a complex ecosystem. You will own the data and transformation layer that creates clarity. In doing so, you'll partner closely with business stakeholders, our analytics team, and product managers and engineers to make sure the company has efficient, reliable access to data.

Your responsibilities will include:

• Design and implement data pipelines that transform raw data into clean data sets that are easily and efficiently queryable by stakeholders
• Collaborate with stakeholders and analysts to gain a deep understanding of the business
• Identify gaps in how and what data we collect and collaborate with product and engineering to iterate and improve on current methodologies
• Serve as the subject matter expert within the company for our analytics data model
• Implement data validation and change management processes
• Set best practices for data organization, cleanliness, maintenance and management
• Stay up to date with the latest technologies and trends in data engineering and analytics to improve our existing technology stack

QUALIFICATIONS

• 3+ years of analytics or data engineering experience
• Familiarity and experience with applying modern software engineering practices to data and analytics settings (e.g. modularity, version control, testing, continuous integration)
• Fluency in SQL. Familiarity with templating languages like Jinja or Mustache. Knowledge of at least one scripting or programming language preferred.
• Experience working with data warehouses like Redshift (or Snowflake or BigQuery)
• Exposure to data pipeline orchestration tools like Airflow and Luigi, and other ETL/ELT tools (like dbt and Fivetran).
• Hands on experience modeling data for different purposes and familiarity with data modeling techniques 
• Attention to detail and quality - Consistency of everything from naming conventions to methodologies is important to you. You set baseline standards and strive to continually improve them. You productionize methods of ensuring quality and evangelize best practices throughout the company.
• Excellent verbal and written communication skills. You listen to stakeholder feedback, and share your solutions and experience clearly with both technical and non-technical audiences. You are an advocate for democratizing access to data.

BENEFITS

• Earn equity in an early stage high-growth company
• 100% subsidized health insurance, dental coverage, vision coverage
• 12 weeks universal fully paid family leave
• PTO and company holidays
• 3 weeks a year where you can work anywhere  
• 401k retirement savings plan with matching employer contribution
• Employee discount on renovation services
• Budgeted learning and development stipends
• Working alongside an ambitious, kind, no-drama team

COMPANY VALUES

• Force simplicity
• Problems are our fuel
• Collaborate with tenacity and humility
• Save money where we should
• Speed is our advantage