Beam is seeking a Senior Data Engineer focused on data development to help create and maintain the data platform, infrastructure, and processes that power business intelligence for both internal and external stakeholders. The data platform processes over 7TB of data every 90 minutes, delivering complex analytics to partners and actionable data to internal teams. This role offers the opportunity to work with a wide range of open source data technologies, build new features, support existing functionality, and have a significant impact on a core part of the business. The team is highly collaborative and motivated by impact in a high-growth environment.
Responsibilities will include
Design and plan new platform data solutions in collaboration with the Head of Engineering, Engineering and Product teams, and internal stakeholders using RFC and Tech Spec documents
Collaborate with peers to execute and implement high-quality software
Assist in planning and execution of new software features with a focus on data platform requirements
Drive execution of work from spec document to delivery through the SDLC
Share knowledge through code reviews, pair programming, 1-1 conversations, and team trainings
Develop subject matter expertise in the Beam data ecosystem and reporting platform, supporting Client Strategy, Business Operations, and partners
Balance tech debt with practicality while designing solutions
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Gain knowledge of the nonprofit giving and e-commerce enablement spaces
Foster a team culture around Beam’s values of community, inclusivity, care, accountability, and support
Strive for continuous improvement through goal setting, feedback, and growth opportunities
You’re a great fit if you
Have 4+ years as a Data Engineer or Senior Data Engineer utilizing Python and SQL to develop data-intensive applications or insights, or 5+ years as a Software Engineer using Python and SQL in a primarily Python codebase
Have experience working on production-level data systems in a collaborative team environment
Are proficient with Python and SQL
Are proficient with relational databases, particularly PostgreSQL
Have experience with Apache Airflow for task orchestration
Have experience using a Business Intelligence tool, such as Tableau
Are familiar with development principles and processes such as observability, performance optimization, continuous integration, automated testing, and cloud infrastructure
Are familiar with distributed computing architecture, data warehouse, and data lake storage patterns
Have strong communication skills and can explain and advocate for technical projects to non-technical roles
Nice to have
Experience in an early startup
Experience with setting up and administrating a Business Intelligence tool, like Tableau
Experience with Apache Spark
Experience with managing a Kubernetes cluster
Bachelor’s degree in Computer Science or related technical or analytical field (or equivalent training, fellowship, or work experience)
