Software Data Engineer

BenchSci • CA

Hybrid

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We are looking for a Software Data Engineer to join our growing Data Team! Reporting to

the Engineering Manager, you will evolve our data models in several styles of datastores and

operationalize production-grade data pipelines. As part of this role, you'll collaborate with a

world-class team, experience growth and mentorship, and apply data engineering solutions

to shape the future of scientific discovery.

Pay range: $110,000 - 135,000

We know compensation is an important part of choosing your next role. The range shown reflects our target hiring range, informed by market data, internal equity, and the role’s current scope. Often the mid-range is where we tend to fall, but individual offers may vary based on experience, skills, and the role scope.

You Will:

Collaborate with Machine Learning, Full-stack engineers and Science to solve complex document mining challenges, helping us capture and model additional scientific experiments

Scale data pipelines to allow our data to go from research to platform quickly and reliably

Work with sources that contain both semi-structured and unstructured data

Use your experience to help define and apply best practices for a broad platform of technologies in a cloud-based environment

Architect and maintain robust data pipelines that ingest diverse sources and utilize LLMs for high-fidelity entity extraction into structured formats

Implement evaluation frameworks to monitor the accuracy, drift, and hallucination rates of extraction models within the production pipeline.

Lead or consult the authoring of engineering design proposals following the unified Platform Stream roadmap at BenchSci

Leverage a deep understanding of the business context and the team’s goals to unlock independent technical decisions in the face of open-ended requirements

Proactively identify new opportunities (from both internal and external sources) and advocate for and implement improvements to the current state of projects

Respond with urgency and drive urgency in own team to operational issues, owning resolution within one's sphere of responsibility

Challenge the status quo and propose newertechnologies or ways of working

You Have:

A degree in Computer Science/Engineering or a related field within science

3+ years experience working as a software developerin the industry

Proficient with Python

Proficient with SQL

Experience using LLMs for structured data extraction

Experience with event-driven architecture with Pub/Sub

A track record in building high-quality, maintainable code

Experience with cloud computing (for example: GCP, Azure, AWS)

Nice To Have:

ML/Data science exposure

Worked with Auth0, Terraform

Have experience with data warehouse solutions like BigQuery, and databases including AlloyDB and Spanner

Have experience with agentic driven development and AI-based tools like Cursor or Claude Code

Have experience with building ConversationalAI solutions

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