AlamarBiosciences
Senior AI & Data Engineer
At a Glance
- Location
- Fremont, California, United States
- Experience
- 3–5 years
- Compensation
- or this full-time position is $180,000 - $200,000 + bonus + equity + benefits.
- Posted
- 2026-05-18T15:58:56-04:00
Key Requirements
Required Skills
Domain Knowledge
- Automation
- Biotech
- Education
- Engineering
Requirements
3–5 years of hands-on experience in data engineering, AI/ML engineering, or a closely related software engineering role
Strong Python programming skills; able to write clean, well-structured, production-grade code
Practical experience building and maintaining data pipelines with modern orchestration tools (dbt, Airflow, Dagster, or equivalent)
Hands-on experience with cloud data platforms (Databricks, Snowflake, BigQuery, or equivalent)
Experience building with LLM APIs (Anthropic, OpenAI, Gemini, or equivalent) including prompt design, tool-calling, and RAG implementation
Demonstrated ability to ship working automations or integrations against real systems, not just prototypes
Responsibilities
Data Engineering & Lakehouse
Build and maintain ETL/ELT pipelines ingesting structured, semi-structured, and unstructured data from systems including our CRM, ERP, ELN, and more (both internal and external)
Implement and optimize data workflows on our data lakehouse (Delta tables, workflows, Unity Catalog)
Write clean, testable SQL and Python for data transformation, enrichment, and delivery to downstream consumers of data including BI tools and AI agents
Apply data governance and lineage practices from day one, including tagging, access control, and metadata management
Work with the broader data team to evolve the lakehouse schema, ensure data quality, and reduce pipeline fragility