Senior Staff Data Engineer (AI/Biological Data)

Location: Hybrid in New York, NY or Redwood City, CA; onsite at least 60% of the working month, approximately 3 days per week.

Base pay: $270,000–$300,000 annually for the Senior Staff level. The role may also be eligible for a discretionary annual performance bonus.

Company

hirify.global is a 501(c)(3) biomedical research organization combining frontier AI, biological research, large-scale compute, and experimental capabilities to accelerate scientific discovery and disease research.

What you will do

• Design and build data pipelines processing genomic and imaging data at petabyte scale.
• Solve performance and bandwidth challenges through creative engineering.
• Build agent-based systems for automated dataset curation, quality control, and workflow generation.
• Create data cataloging and registration tools that make datasets discoverable and accessible.
• Collaborate with AI Research teams to translate model requirements into data specifications and integrate public and internal data into large-scale AI-ready datasets.
• Improve pipeline reliability and observability toward 99%+ success rates without manual intervention.

Requirements

• 12+ years of experience building reliable, operable data systems at petabyte scale.
• Strong software engineering fundamentals.
• Experience deploying distributed computing frameworks such as Databricks, Spark, or Ray for large-scale data processing.
• Experience building and deploying large-scale data platform solutions using infrastructure as code such as Terraform or CDK.
• Experience with cloud infrastructure, preferably AWS, and on-premises infrastructure.
• Comfort with ambiguity and evolving requirements.
• Interest in AI-native development practices and tooling.

Nice to have

• Background in computational biology, bioinformatics, or life sciences.
• Experience with genomics datasets and formats such as FASTQ, BAM, and VCF, or imaging formats such as OME-Zarr and HDF5.

Culture & Benefits

• Small team with significant resources, long-term horizons, substantial autonomy, and a focus on code quality, operational reliability, and scalable systems.
• AI tools are used extensively for development and workflow automation.
• Hybrid, collaborative, team-oriented environment with manager-defined in-office days.
• Employer match on employee 401(k) contributions.
• Paid time off for volunteering and funding for select family-forming benefits.
• Relocation support is available for employees who need assistance moving.