Beam is seeking a Senior Data Engineer to join our Engineering team and help create and maintain the data platform, infrastructure, and processes that power business intelligence for both internal and external stakeholders. Our data platform processes over 7TB of data every 90 minutes, delivering complex analytics to partners and actionable data to internal teams. You will work with a range of open source data technologies, building new features, supporting existing functionality, and making a significant impact on a core part of our business.

Responsibilities will include:

• Design and plan new platform data solutions in collaboration with the Staff Data Engineer, product team, and internal stakeholders using RFC and Tech Spec documents
• Collaborate with peers to execute and implement high-quality software and assist in planning and execution of new software features with a focus on data platform requirements
• Drive the execution of your 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
• 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
• Have experience working on production-level data systems in a collaborative team environment
• Are proficient with Python and SQL, and 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)

Total Compensation

The expected annual compensation range is $176,000–$198,000 USD, including:

• Base salary of $160,000–$180,000 USD
• Up to 10% annual bonus based on individual performance
• Stock options

Additional benefits include:

• 50% match on 401k contributions of up to 6% of base salary
• $100 monthly wellness stipend
• $750 annual professional development budget