Built is looking for an experienced Senior Data Engineer to help organize and manage existing data resources, implement new technologies and tooling to quickly onboard new clients and lenders, as well as help drive scalable data sharing practices. You will own etl processes, 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, security, and availability of data at Built
• Create dynamic ETL process for client pipelines to allow automated conversation of client data 
• Help automate process that integrate well with our infrastructure and making synergistic efforts with other internal AWS toolings.
• Work with stakeholders to deliver data pipelines and ETL workflows for internal and external customers
• Ensure that data pipeline processes and workflows are performing as expected for current and future reporting needs
• Help design internal metrics that provide observability into the data collection and transformation processes
• Work with teammates to ensure standard engineering processes are followed
• Actively seek opportunities to mentor teammates and be mentored by your teammates
• Work with principal engineers and other teams to move larger engineering initiatives forward
• Act as the example to which other engineers aspire to become professionally and culturally

Basic Qualifications:

• A desire to work in a collaborative, intellectually curious environment
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent
• 5+ years of Data Engineering, and ETL experience
• 5+ years of professional working experience with Python and modern Python packages, tooling, development, and testing
• 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

Preferred Qualifications:

• Experience working with AWS with an understanding of their offerings (Athena, PostgreSQL, MySQL, Kinesis, Redshift, Lambda, S3, EC2, etc.)
• Experience with Big Data Technologies
• Experience 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

Experience with these technologies would be a major bonus:

• Data Lakes (particularly AWS Glue, S3, and Athena)
• Containers (particularly Docker, AWS Fargate, EKS, ECS)
• Data Pipeline/ETL tools (particularly Luigi, Airflow, and Glue)