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Greenhouse Data Engineer Jobs (NOW HIRING)

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

... for greenhouse operations. They are seeking an Applied Machine Learning Engineer to develop ... Responsibilities : • Study and transform data science prototypes • Design machine learning ...

Klaviyo

Lead People Systems Engineer

Boston, MA

Architect and implement systems that integrate across SaaS such as Workday, Greenhouse, Sana, and ... Design systems that handle sensitive employee data with security, privacy, and trust at the core

SCS Engineers

Civil or Environmental Engineer

Tampa, FL · On-site

$70K - $80K/yr

How you can make an impact You will reduce greenhouse gas emissions and support civil and ... Field work in varied terrain and weather will be required, including surveys/data gathering ...

Arva Intelligence

Modeling Scientist

Houston, TX · On-site +1

$100K - $160K/yr

Partner with data engineers to implement reproducible, scalable modeling pipelines * Contribute to ... greenhouse gas emission reductions and removals. Collaborating at the intersection of statistics ...

SCS Engineers

Civil or Environmental Engineer

Tampa, FL

$70K - $80K/yr

You will reduce greenhouse gas emissions and support civil and environmental project work including ... Field work in varied terrain and weather will be required, including surveys/data gathering ...

Arva Intelligence

Modeling Scientist

Houston, TX · On-site +1

$100K - $160K/yr

Partner with data engineers to implement reproducible, scalable modeling pipelines * Contribute to ... greenhouse gas emission reductions and removals. Collaborating at the intersection of statistics ...

Klaviyo

Lead People Systems Engineer

Boston, MA

Architect and implement systems that integrate across SaaS such as Workday, Greenhouse, Sana, and ... Design systems that handle sensitive employee data with security, privacy, and trust at the core

Klaviyo

Lead People Systems Engineer

Boston, MA

Architect and implement systems that integrate across SaaS such as Workday, Greenhouse, Sana, and ... Design systems that handle sensitive employee data with security, privacy, and trust at the core

Glass House Brands

Engineering Manager

Camarillo, CA

Lead the design and engineering of new greenhouse and irrigation systems, ensuring they meet ... This job will oversee the planning department, with minimal supervision on Data Analytics functions ...

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All JobsGreenhouse Data Engineer Jobs

Greenhouse Data Engineer information

See salary details

$51.5K

$147.5K

$197K

How much do greenhouse data engineer jobs pay per year?

As of Jun 23, 2026, the average yearly pay for greenhouse data engineer in the United States is $147,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $196,000.00 per year, depending on experience, location, and employer.

What is a Greenhouse Data Engineer?

A Greenhouse Data Engineer is an IT professional who specializes in designing, building, and maintaining data systems specifically for greenhouse operations. They develop data pipelines, manage databases, and work with sensors or IoT devices to collect and analyze environmental data such as temperature, humidity, and light levels. Their work enables greenhouse managers to make data-driven decisions that optimize plant growth and resource usage. Greenhouse Data Engineers often collaborate with agronomists, data scientists, and automation specialists to improve efficiency and yield.

How does a Greenhouse Data Engineer typically collaborate with agronomists and farm managers to optimize crop yields?

A Greenhouse Data Engineer works closely with agronomists and farm managers by designing and maintaining systems that collect and analyze environmental and crop data. They translate the needs of agricultural specialists into technical requirements and create dashboards or tools that visualize real-time data on factors such as temperature, humidity, and soil moisture. By providing actionable insights, they help the team make data-driven decisions that improve crop production and resource efficiency. Regular communication and collaboration ensure that technological solutions align with on-the-ground agricultural practices.

What is the difference between Greenhouse Data Engineer vs Greenhouse Data Analyst?

AspectGreenhouse Data EngineerGreenhouse Data Analyst
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools, statistical analysis
Work EnvironmentData engineering teams, IT, cloud environmentsBusiness teams, marketing, product teams
Industry UsageTech, e-commerce, SaaS companiesMarketing, sales, product management

Greenhouse Data Engineers focus on building and maintaining data infrastructure, while Greenhouse Data Analysts interpret data to support decision-making. Both roles require strong SQL skills, but Data Engineers emphasize data pipeline development, whereas Data Analysts focus on data analysis and reporting.

What are the key skills and qualifications needed to thrive as a Greenhouse Data Engineer, and why are they important?

To thrive as a Greenhouse Data Engineer, you need strong data engineering fundamentals, experience with ETL processes, and a background in computer science or a related field. Familiarity with Greenhouse's data APIs, SQL, data warehousing tools like Snowflake or Redshift, and possibly certifications in cloud platforms such as AWS or GCP are typically required. Strong problem-solving skills, attention to detail, and effective communication are valuable soft skills in this role. These competencies ensure accurate data pipeline management, enable actionable insights for HR teams, and support data-driven decision-making within organizations.
More about Greenhouse Data Engineer jobs
What cities are hiring for Greenhouse Data Engineer jobs? Cities with the most Greenhouse Data Engineer job openings:
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Greenhouse Data Engineer jobs near you
Infographic showing various Greenhouse Data Engineer job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $147,461 per year, or $70.9 per hour.
Applied Machine Learning Engineer

Applied Machine Learning Engineer

IUNU

Seattle, WA • On-site

Full-time

Posted 16 days ago

Job description

Job Summary:
IUNU is revolutionizing the agriculture industry through cutting-edge AI-driven solutions for greenhouse operations. They are seeking an Applied Machine Learning Engineer to develop products for their clients and the greenhouse industry, focusing on creating machine learning models and retraining systems.
Responsibilities:
• Study and transform data science prototypes
• Design machine learning systems
• Research and implement appropriate ML algorithms and tools
• Develop machine learning applications according to requirements
• Select appropriate datasets and data representation methods
• Run machine learning tests and experiments
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Keep abreast of developments in the field
Qualifications:
Required:
• 3-5 years of proven experience as a Machine Learning Engineer or a similar role
• Strong experience with Deep Learning
• Understanding of data structures, data modeling, and software architecture
• Deep knowledge of math, probability, statistics, and algorithms
• Ability to write robust code in Python, Java, and R
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
• Excellent communication skills
• Ability to work in a team
• Outstanding analytical and problem-solving skills
• BSc in Computer Science, Mathematics, or a similar field; a Master’s degree is a plus
Company:
IUNU is an industrial computer vision company that connects plants, facilities, and people through a single interface. Founded in 2013, the company is headquartered in Seattle, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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