Senior Data Engineer (AI)

Location: San Francisco, CA, USA

Salary: $144,000–$240,000 USD base salary per year, with bonus potential and early-stage equity.

Company

hirify.global is an early-stage AI company building autonomous scientific systems for discovery across medicine, materials, and energy.

What you will do

• Design ETL pipelines that transform raw laboratory instrument outputs into analysis-ready scientific datasets.
• Model heterogeneous data from bioinformatics, chemistry, and materials science instruments.
• Build validation checks, schema-evolution gates, and data quality workflows.
• Develop reusable analysis functions and canonical datasets for scientists and AI researchers.
• Improve automation and observability across instrument-to-result data flows.
• Use AI coding tools to accelerate pipeline development and engineering velocity.

Requirements

• 2–6 years of experience in data engineering, bioinformatics, cheminformatics, or computational science.
• Strong Python skills with typed, tested, production-quality code.
• Strong SQL skills, especially with PostgreSQL or similar relational databases.
• Experience building ETL pipelines, data models, and reusable data transformations.
• Foundation in data science, including statistics and pandas, NumPy, or similar tools.
• Experience translating noisy scientific measurements into accurate, validated datasets and orchestrating workflows with tools such as Flyte, Airflow, Prefect, Dagster, or Nextflow.

Nice to have

• Experience with Parquet, Iceberg, DuckDB, Polars, or Ibis.
• Familiarity with event-driven pipelines such as NATS or Kafka.
• Exposure to laboratory data formats, LIMS, ELN systems, life sciences assays, sequencing, imaging, or flow cytometry.
• Experience with materials and chemistry methods such as XRD, XRF, SEM, TGA, or DSC.
• Experience with curve fitting, peak detection, or unit and dimensional analysis.

Culture & Benefits

• Startup-speed environment focused on scientific discovery and AI.
• Full-time U.S. employees receive medical, dental, and vision coverage, plus employer-paid life and disability insurance.
• Flexible time off, company-wide holidays, and paid parental leave.
• Educational assistance, commuter benefits, and subsidized lunches for office-based employees.
• Full-time employees outside the U.S. receive benefits tailored to their region; international salaries follow local market rates.