Data Pipeline AgTech Engineer

Sensei Ag; Remote; CAD 108,000 - 151,000; Full time

Job summary

A leading AgTech company based in Canada is looking for a Data Engineer to develop data pipelines and support analytics across initiatives. The ideal candidate will have at least 1 year of experience in data or software engineering and be proficient in Python and SQL. Join a collaborative team that is committed to sustainable practices and revolutionizing food production. Competitive salary and benefits are offered for this remote position.

Benefits

Prescription Drug Benefits

Employee Wellness Program

Paid Time Off

401K

Qualifications

• Minimum of 1 year of data pipeline and/or software engineering experience.
• Solid understanding of data engineering fundamentals.
• Experience with Python, SQL, and Python data science libraries.

Responsibilities

• Collaborate with cross-functional teams to understand data requirements.
• Build scalable data pipelines for insights and model building.
• Design, build and maintain robust data pipelines.

Job description

Founded by global technology pioneer Larry Ellison and esteemed physician and author Dr. David Agus, Sensei Ag is a market-changing AgTech company on a journey to improve human nutrition. Our greenhouse farms align technology with the environment to protect and preserve natural resources while optimizing how we grow food. Merging agriculture and innovation to achieve sustainable farming practices allows us to grow high-quality, delicious produce year-round.

Job Location

This is a US REMOTE position.

Compensation

$77,500.00 - $107,000.00 / year, Exempt, with a discretionary bonus of up to 10%.

Benefits We Offer

• Prescription Drug Benefits, Employee Assistance Program (EAP) & Employee Wellness
• HSA/FSA
• Basic Life and AD&D & Short and Long-Term Disability
• Paid-Time Off and Travel Assistance Program
• 401K

NOTE: Residents of Hawaii, receive a Comprehensive Healthcare Bundle different from US Mainland plans/programs.

Why is this position open?

Data collection and processing enable our automation strategy in the next generation greenhouse. This role will be responsible for building data pipelines that enable analytics and modeling across strategic initiatives including plant measurement and environmental controls.

What is the department culture like?

Highly supportive and collaborative. Engage with each other frequently. Fun and amicable. Creative problem solvers.

Why should I apply?

To be part of an opportunity to help build a data-driven company and support a mission that will benefit the world.

About the role

The mission of the Data Insights group is to foster a data-driven organization by providing and supporting robust, organized wise use of data to gain insights and make decisions. This role, as part of the Data Insights group, supports the development of data processing pipelines for Sensei Ag. Day-to-day tasks would include monitoring of data processing, troubleshooting and debugging data processing tasks, and development of new data flows for existing platforms. This role will also provide basic support to the development of new data processing technologies including setup and administration of new tools and engineering support to new data software systems . The role offers multiple growth opportunities including work in data science, data visualization, and sensing/control systems . An ideal candidate will have a passion for helping build systems which will empower Sensei Ag to grow crops more efficiently and sustainably.

What you will do

• Collaborate with cross-functional teams to understand data requirements and help translate domain expertise into data products that meet business needs.
• Build scalable data pipelines that will enable data users to derive insights and build models faster and more efficiently.
• Design, build and maintain robust data pipelines and data processing systems.
• Implement data quality frameworks to ensure the accuracy and integrity of data.
• Optimize data storage and retrieval for efficient data access and analysis.
• Stay up to date with industry trends and emerging technologies in data engineering.
• Minimum years of experience required .

Skills and Experience You Will Need

• M inimum of 1 year of data pipeline and/or software engineering experience.
• Solid understanding of data engineering fundamentals (design patterns, common practices) and what it takes to build high-volume data products and services.
• Experience with Python, SQL, and Python data science libraries such as Pandas and PySpark.
• Strong proficiency in querying and manipulating large datasets using SQL and Python.
• Familiarity with efficient big data formats and an understanding of their tradeoffs.
• Familiarity with data modeling and database design principles.
• A natural curiosity for technologies and problem-solving.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.

Bonus points if you have...

• Experience with developing ETL flows.
• Experience with cloud-based data technologies, such as OCI, AWS, Azure or GCP.
• Experience with data visualization or dashboarding technologies.

Educational / Certification Requirement

• Bachelor's degree in Computer Science , Data Science or related field

Travel Requirement

• Up to 10% of the time.

Why you should join us

Sensei Ag is expanding and seeking highly skilled individuals to be part of our team. Experience a dynamic and collaborative work culture as we revolutionize health and the future of food. We are looking for individuals who are intelligent, yet humble, dedicated and genuine, with grit and lots of it! Become a part of our team today!

Job Description Disclaimer

This job description is not intended to be an exhaustive list of all duties, responsibilities or qualifications associated with the job. Other duties may be assigned.

Equal Employment Opportunity

As set forth in Sensei Ag’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.