Built is looking for an experienced Senior Data Engineer to help organize and manage existing data resources, implement new technologies and tooling to grow our business products through our data analysis platform, as well as drive scalable data-sharing practices. You will own data environments, integrate with new technologies, and oversee the development of new processes that support teams across the entire organization. You will gather requirements through direct interaction with the product team, business partners, and software development teams. You will help steer the direction of our constantly evolving system to enable scale and deliver quality for our clients, both internal and external. The ideal candidate will have outstanding communication skills, proven data infrastructure design and implementation capabilities, strong business acumen, and an innate drive to deliver results. You will be a self-starter, comfortable with ambiguity, and will enjoy working in a fast-paced, dynamic environment.
In this Role, You Will
- Assist in the collection, organization, and availability of data at Built.
- Work with stakeholders to deliver data visualization, exploration, and reporting solutions for internal and external customers.
- Ensure that data curation and collection processes are performing as expected for current and future reporting needs.
- Help design internal metrics that provide observability into the data collection and transformation processes.
- Implement on new projects and greenfield technologies
- Lead technical projects and participate in architecture design
- Work with teammates to ensure standard engineering processes are followed.
- Actively seek collaborative opportunities with teammates
- Work with principal engineers and other teams to move larger engineering initiatives forward.
- Act as the mentor to which other engineers aspire to become professionally and culturally.
Basic Qualifications
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent.
- 5+ years of experience with Python or other modern programming languages.
- Strong SQL database expertise.
- 2-3+ years of experience with Snowflake or similar data warehouse.
- 2-3+ years of Data Warehouse experience.
- Familiarity with Apache Spark and Kafka.
- Experience with cloud hardware provisioning, forecasting usage, and managing to a budget.
- Experience with Linux/UNIX.
- Proven track record of sharing outcomes through written communication, including an ability to effectively communicate with both business and technical teams.
- A desire to work in a collaborative, intellectually curious environment.
Preferred Qualifications
- Experience with BI Tooling (Sigma, Microsoft Power BI, Tableau, etc.)
- Experience working with AWS, with a strong understanding of their offerings (DynamoDB, PostgreSQL, MySQL, Lambda, S3, EC2, etc.).
- Experience with Big Data technologies.
- Experience with multitenant architecture
- Familiarity with engineering design patterns and best practices
- Familiarity with security standards like symmetric and asymmetric encryption, virtual private clouds, IP whitelisting, LDAP authentication, and other methods.
- Strong interpersonal skills and the ability to communicate complex technology solutions to senior leadership, gain alignment, and drive progress.
Perks
- The rare opportunity to radically disrupt an industry
- Competitive benefits including: uncapped vacation, health, dental & vision insurance, and 401k
- Robust compensation package including base salary and equity
- Flexible working hours, paid family leave, ERGs & Mentorship opportunities
- Learning grant program to support ongoing professional development