Staff Software Engineer (Data and Partner Platform)

• We are looking for a Staff Software Engineer to join our Data and Partner Platform team (DAP) and help shape the future of energy technology
• In this role, you will operate at the intersection of deep technical craft and broad organizational impact - driving architectural decisions, mentoring engineers, and building systems that are reliable, scalable, and grounded in the realities of the energy industry
• You will be a key technical voice across engineering and a trusted partner to product, operations, and business teams alike
• The Data and Partner Platform team manages partner integrations, data translation, and our Snowflake account
• We work closely with most teams across the organization and drive critical platform engineering that runs core business functionality. The team is driven, diverse, and wildly talented. We are driving foundational improvements that improve our agility and speed while maintaining legacy systems
• Champion long-term excellence by envisioning ideal approaches to complex processes and translating the vision into well-scoped, measurable initiatives that can be prioritized alongside business goals
• Coordinate across engineering teams to align on technical direction, standards, and best practices
• Develop deep domain expertise in utility programs, demand responses, DER lifecycles, wholesale energy markets, and the regulatory realities that shape them, so every technical decision is grounded in how the energy industry actually operates
• Collaborate with product and engineering leadership to strike the right balance between business-driven and team-driven priorities, maximizing both velocity and reliability
• Build the absolutely coolest stuff of your career and give yourself something to be deeply proud of
• Architect and implement scalable systems for ingesting, processing, observing, and maintaining billions of data points, with performance, accuracy, security, and compliance considered across the full lifecycle
• Lead schema design and data flow architecture through a collaborative and inclusive process
• Design and build integrations with partner and third party APIs, including OEMs, utility, and data partners, as well as file-driven pipelines (CSV/SFTP/Airflow) that support them
• Build and maintain microservices and APIs that other teams confidently depend on, using contract-driven development practices
• Drive investigations end to end, from initial alert through root cause analysis to resolution, with the composure to lead under pressure and the rigor to prevent recurrence
• Build operational scripts, runbooks, and detection tooling that transform one-time triage into repeatable capability for the team
• Pursue root causes beyond their symptoms, never accepting “it’s working now” without a clear understanding of why it failed and what prevents it from happening again
• Monitor cloud costs across the team’s toolset to maintain efficiency and justify expenditure
• Build and maintain strong relationships with partner teams across engineering, partner solutions, and business development, leveraging trust to solve cross-team problems no single group could address alone
• Mentor and develop engineers across the team and broader organization while remaining open to learning from their experiences and perspectives
• Manage access and roles across the stack to deliver predictable, compliant experiences that meet privacy and security requirements
• Contribute to product quality by building new features, improving existing ones, and retiring deprecated functionality

Benefits

• 401(k) with employer match
• HSA and FSA options
• Medical opt-out allowance
• 100% paid medical insurance for employees
• Tuition reimbursement and continuing ed stipend
• Work from our Brooklyn or Burlington office, or fully remote
• Dog Fridays at Brooklyn HQ
• Company happy hours
• Wellbeing subsidy
• Bi-annual full-team meetings at our Brooklyn HQ

• Strong proficiency with gRPC/protobuf, RESTful APIs, and contract driven development across multi-repository service meshes
• 7+ years of professional software engineering experience with demonstrated staff-level responsibilities or equivalent scope
• Clear understanding of the distinction between OLAP and OLTP relational databases, with hands-on experience planning and implementing high-performance data processes using both
• Proven full-stack engineering background with experience scaling distributed systems and designing solidly-architected microservices
• Demonstrated experience integrating complex partner and third party APIs as well as building and maintaining file-driven data pipelines
• Strong data-integrity instincts and incident-response composure, with the ability to lead high-severity, multi-system investigations from first alert to final root cause
• Relentless drive for quality and performance, with strong testing discipline spanning unit, integration, TDD, and end to end approaches
• Proactive approach to observability. You ensure the right context surfaces in exceptions and logs to enable rapid and accurate troubleshooting
• Experience in support-adjacent roles including on-call rotations, triage, or customer facing resolution that has provided you empathy for how systems fail and how users get stuck
• Thoughtful, judicious use of AI/LLM tooling to improve efficiency without over-reliance
• Collaborative, warm, and generous with colleagues, with a genuine investment in helping others succeed
• Exceptional written and verbal communication skills. You have a talent for producing clear, concise design documents, data model references, and runbooks that become team-standard reference material
• Ability to operate with a high degree of autonomy while providing technical vision and guiding the team toward scalable, well-considered solutions
• GitHub
• Airflow, Docker, Robot Framework
• Snowflake, dbt, Fivetran, Postgres, and MongoDB
• We embrace modern technology and are excited to grow our stack collaboratively. For this role, we’re looking for strong familiarity with the majority of these technologies and solid expertise in several:
• AWS, S3, SNS/SQS, RabbitMQ
• DataDog, Metaplane
• Sigma
• GRPC/protobuf, React, TypeScript, Java, Spring Boot, Python
• Prior experience in the energy industry, including familiarity with utility programs, demand response, DER management, or wholesale energy markets
• Experience working in regulated industries with compliance and data privacy requirements
• Familiarity with data quality monitoring and observability tooling
• Background in building internal developer tooling, platform capabilities, or shared infrastructure that improves team-wide productivity