Remote Lead Software Engineer, Data

Description:

• We are looking for a Lead Software Engineer - Data to join our growing Webapps Team.
• This position reports to the Engineering Manager.
• The role involves evolving data models in various styles of datastores and improving internal tooling for data self-service.
• You will operationalize production-grade data pipelines and build strong data store abstractions for web-application services.
• Collaboration with a world-class team is essential, along with opportunities for growth and mentorship.
• You will apply data engineering solutions to shape the future of scientific discovery.
• Responsibilities include leveraging business context to make independent technical decisions, identifying misalignments between project outcomes and team goals, and advocating for improvements.
• You will take responsibility for decisions and mistakes, proactively assess and eliminate barriers, and drive urgency in resolving operational issues.
• The role requires actively seeking to eliminate sources of toil and challenging the status quo with new technologies or methods.
• You will create and update playbooks or retrospectives for components in your domain and act as a Technical DRI on multiple projects.
• Responsibilities also include scaling data pipelines, managing semi-structured and unstructured data, and collaborating with ML and Data engineers to solve complex challenges.
• You will define and apply best practices for a broad platform of technologies in a cloud-based environment.
• The role includes leading sprint planning, estimations, and code/design reviews, as well as partnering with the Engineering Manager to recruit and build the team.
• Troubleshooting analysis and resolution will also be part of your duties, with approximately 50% of your time spent on hands-on coding tasks.

Requirements:

• A degree in Computer Science/Engineering or a related field within science is required.
• You must have 8+ years of experience working as a professional developer.
• Experience in Python with related data engineering libraries such as Pandas and Spark is necessary.
• Expertise in relational databases and SQL (e.g., PostgreSQL, MySQL) is required, along with experience in vector and graph databases (e.g., Pinecone, Neo4j).
• Familiarity with cloud reference architectures and developing specialized stacks on cloud services is essential.
• A deep understanding of data quality and integration test frameworks is required.
• You should have a conceptual understanding of a data-driven software engineering environment and how to use data for decision-making.
• A track record of building high-quality, maintainable code is necessary.
• Strong communication, collaboration, and strategic problem-solving skills are essential.
• A proactive approach to driving team success and improving workflows is required.

Benefits:

• The position offers an engaging remote-first culture.
• A great compensation package that includes BenchSci equity options is provided.
• There is a robust vacation policy plus an additional vacation day every year.
• Company closures for 14 additional days throughout the year are included.
• Flex time for sick days, personal days, and religious holidays is available.
• Comprehensive health and dental benefits are offered.
• An annual learning and development budget is provided.
• A one-time home office set-up budget is available upon joining BenchSci.
• An annual lifestyle spending account allowance is included.
• Generous parental leave benefits with a top-up plan or paid time off options are offered.
• The ability to save for retirement with a company match is provided.