Platform Data Engineer

Ohalo Genetics; San Francisco (CA); On-site; USD 170,000 - 215,000; Full time

Job summary

Join a forward-thinking company as a Platform/Data Engineer, where you'll be at the forefront of revolutionizing plant breeding through innovative data solutions. This exciting role involves designing robust data architectures and building scalable data pipelines to support machine learning activities. Collaborate with a passionate team dedicated to unlocking nature's potential, while utilizing cutting-edge technologies like GCP, BigQuery, and Spark. If you're ready to make a significant impact in agriculture and work in a dynamic environment, this opportunity is for you!

Qualifications

• 5+ years of experience in data engineering roles.
• Proficiency in cloud platforms and data processing frameworks.

Responsibilities

• Design and implement robust data architectures.
• Build and maintain scalable data pipelines using GCP and Python.

Skills

Python

GCP (or AWS)

BigQuery

Spark

Pub/Sub

Kafka

Nextflow

Problem-solving

Communication Skills

Education

Bachelor's degree in Computer Science

Bachelor's degree in Engineering

Bachelor's degree in Information Technology

Tools

FastAPI

Job description

Position Title:Platform/Data Engineer
Location: San Francisco, CA
Time Type: Full Time

The Opportunity:
Ohalo is seeking an experienced Platform/Data Engineer to join our team. This role involves building and maintaining data pipelines to support our machine learning engineering activities and managing data related to plant phenotypes and genotypes. This is an exciting opportunity to work with a passionate team dedicated to revolutionizing plant breeding.

Responsibilities:

• Design and implement robust data architectures.
• Build and maintain scalable data pipelines using technologies such as GCP (or AWS), BigQuery, Python, and Spark.
• Develop and manage service-oriented and event-driven architectures, utilizing tools like Pub/Sub and Kafka.
• Collaborate with machine learning engineers on model development and deployment.
• Work closely with automation engineering to automate data collection from robotics systems.
• Ensure data integrity and security across all pipelines and processes.
• Optimize data workflows and storage solutions for performance and scalability.
• Continuously monitor, troubleshoot, and improve data systems and processes.

Candidate Profile:

• Bachelor’s degree in a technical field (e.g., Computer Science, Engineering, Information Technology).
• Minimum of 5 years of experience in a similar role.
• Proficiency with cloud platforms, preferably GCP (or AWS).
• Strong experience with data processing frameworks such as BigQuery, Spark, and Nextflow (a plus).
• Proficiency in Python and frameworks like FastAPI.
• Experience with service-oriented and event-driven architectures.
• Knowledge of data streaming and messaging systems, including Pub/Sub and Kafka.
• Strong problem-solving skills and attention to detail.
• Ability to work independently and as part of a geographically distributed team.
• Excellent communication and collaboration skills.

About Ohalo:
Ohalo aims to accelerate evolution to unlock nature's potential. Founded in 2019, Ohalo develops novel breeding systems and improved plant varieties that help farmers grow more food with fewer natural resources, increasing the yield, resiliency, and genetic diversity of crops to sustainably feed our population. Ohalo's breakthrough technology, Boosted Breeding, will usher in a new era of improved productivity to radically transform global agriculture. For more information, visitwww.ohalo.com .

The anticipated pay range for this role is $170,000 - $215,000 per year for our San Francisco, CA location, though salary will be based on a variety of factors including, but not limited to, experience, skills, education, and location.

Notes:

• If you previously applied for a job at Ohalo, we encourage you to restate your interest in the position by submitting your application.
• No visa sponsorship is available for this position at this time.
• No recruiters please.

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