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Greenhouse Data Engineer Jobs (NOW HIRING)

Data Engineer

$128K - $145K/yr

... Greenhouse. We will only ask you to provide sensitive personal information through our official ... About the Role As a Data Engineer focused on AI/ML , you'll build, maintain, and optimize the data ...

Data Engineer

OR · Remote

$120K - $150K/yr

Support integration and maintenance of key tools including Salesforce, Xero, Ramp and Greenhouse ... our next Data Engineer to have the following skills and experiences Core qualifications and ...

Data Engineer

$120K - $150K/yr

Support integration and maintenance of key tools including Salesforce, Xero, Ramp and Greenhouse ... our next Data Engineer to have the following skills and experiences Core qualifications and ...

GTM Engineer

$128K - $180K/yr

At Greenhouse, you'll join a team that collaborates purposefully, fosters inclusivity, and ... Build, test, and maintain robust, production grade data pipelines and automated integrations ...

New

... engineering hiring needs. This role will be heavily focused on sourcing, screening, and ... Manage applicant tracking system (Greenhouse) data entry and compliance with a high degree of ...

Senior Data Engineer - People Technology

Austin, TX · On-site

$105K - $142K/yr

... data stack (GCP/BigQuery, CData, dbt). We are looking for a Senior Analytics Engineer to lead the ... Greenhouse into meaningful insights. You are not just building pipelines; you are architecting a ...

Own full-cycle recruiting for engineering and technical roles from intake through offer and close ... Improve recruiting effectiveness by using Greenhouse data and recruiting analytics to strengthen ...

Our recruiting prowess is demonstrated in IT, HR, Finance/Accounting, Healthcare, and Engineering ... Integrations & Data Management * Design, implement, and manage integrations between Greenhouse and ...

... engineering domains, including Hardware (ME, EE, Embedded), Software, and Product roles. * Source ... Manage candidate pipelines and applicant tracking system (Greenhouse) data entry with a high degree ...

... engineering hiring needs. This role will be heavily focused on sourcing, screening, and ... Manage applicant tracking system (Greenhouse) data entry and compliance with a high degree of ...

Technical Sourcer (Contract)

Sunnyvale, CA · On-site

$67.30 - $79.33/hr

... engineering domains, including Hardware (ME, EE, Embedded), Software, and Product roles. * Source ... Manage candidate pipelines and applicant tracking system (Greenhouse) data entry with a high degree ...

Mastronardi Produce pioneered the commercial greenhouse industry in North America, and we're now ... Partner with the Data Engineering and Data Governance teams to ensure AI solutions use well ...

Mastronardi Produce pioneered the commercial greenhouse industry in North America, and we're now ... Partner with the Data Engineering and Data Governance teams to ensure AI solutions use well ...

Position Data Analyst - Manufacturing & Engineering Department Engineering Manager Engineering ... Environmental systems (wastewater, chemicals, utilities, greenhouse gas emissions) * Packaging and ...

Mgr Environmental - Greenhouse Gas

Dallas, TX · On-site

$115K - $119K/yr

... implementation of data acquisition, handling, and reporting processes and supports review ... Bachelor's degree in Engineering, Environmental Science, or a closely related field, and seven ...

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Greenhouse Data Engineer information

See salary details

$51.5K

$147.5K

$197K

How much do greenhouse data engineer jobs pay per year?

As of Aug 10, 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:
What states have the most Greenhouse Data Engineer jobs? States with the most job openings for Greenhouse Data Engineer jobs include:
What job categories do people searching Greenhouse Data Engineer jobs look for? The top searched job categories for Greenhouse Data Engineer jobs are:
Infographic showing various Greenhouse Data Engineer job openings in the United States as of August 2026, with employment types broken down into 13% Internship, and 87% Full Time. Highlights an 62% In-person, and 38% Remote job distribution, with an average salary of $147,461 per year, or $70.9 per hour.

$128K - $145K/yr

Full-time

Posted 14 days ago


Job description

Tebra only initiates contact with candidates via email from an official Tebra email address (@tebra.com, @patientpop.com, or @kareo.com) or through our applicant tracking system, Greenhouse. We will only ask you to provide sensitive personal information through our official application portal - not via social media or text message. We do not conduct interviews via instant messaging.
About the Role
As a Data Engineer focused on AI/ML, you'll build, maintain, and optimize the data infrastructure that powers Tebra's intelligent features. You'll partner closely with Machine Learning Engineers, Data Scientists, and Software Engineers to transform complex healthcare data into high-quality datasets and real-time features that enable machine learning models.
This is a hands-on engineering role where you'll contribute to scalable data pipelines, improve data quality, and help ensure our AI systems are powered by reliable, performant, and well-governed data. You'll work on modern data platforms and gain experience building solutions that support both model training and production inference.
Your Area of Focus
  • Design, build, and maintain scalable data pipelines for feature extraction, training data generation, and model monitoring.
  • Develop and enhance data systems that support analytics and machine learning workloads, including data lakehouse and feature store technologies.
  • Monitor production data pipelines, identify data quality issues or pipeline failures, and implement improvements to ensure reliability and freshness.
  • Participate in engineering design discussions and contribute to technical decisions around data architecture and pipeline implementation.
  • Build reusable data engineering components, including automated data quality checks, schema validation, and testing frameworks.
  • Translate business requirements into scalable data solutions that enable analytics and machine learning use cases.
  • Optimize SQL queries, Spark workloads, and data processing pipelines to improve performance and scalability.
  • Collaborate with ML Engineers and cross-functional partners to support MLOps best practices, including data versioning, lineage, and reproducibility.
  • Break down technical work into manageable tasks and deliver high-quality solutions within an agile team.
Your Professional Qualifications
  • 3+ years of professional experience in Data Engineering, Software Engineering, or a related field.
  • 2+ years of hands-on experience building and maintaining production data pipelines supporting analytics, reporting, or machine learning workloads.
  • Strong proficiency in Python and SQL with experience developing production-quality data pipelines.
  • Experience with modern data processing technologies such as Spark, Airflow, Kafka, or similar distributed data platforms.
  • Experience working with cloud-based data platforms such as Databricks, Snowflake, Delta Lake, or equivalent lakehouse technologies.
  • Understanding of data modeling, data warehousing, and data governance best practices.
  • Familiarity with machine learning data workflows, including training datasets, feature engineering, and data quality concepts.
  • Experience deploying and supporting production data pipelines with monitoring, testing, and CI/CD practices.
  • Strong problem-solving skills, attention to detail, and the ability to collaborate effectively across engineering and product teams.
  • Excellent communication skills and a desire to continuously learn new technologies and engineering practices.

#LI-SS1 #LI-Remote
We are dedicated to attracting and retaining top talent with competitive and fair compensation. For this position, this range reflects our Zone 1 (National Average) pay band. Your specific compensation is thoughtfully determined by your experience, qualifications, the specific requirements of the role, and your Geo Zone. Our geo-zone system ensures your pay is competitive for your location, recognizing varying costs of labor across regions.
Our four geo zones are designed to reflect this:
Zone 1: National Average
Zone 2: Moderately Higher Cost Regions
Zone 3: High-Cost Regions
Zone 4: Lower-Cost Regions
Beyond base compensation, Tebra offers eligible employees the opportunity for variable pay and a robust benefits package, reflecting our commitment to your overall well-being. In compliance with California pay transparency laws, the specific compensation range applicable to your Geo Zone will be shared during your initial talent screen.
Zone 1 (National Average)
$128,000-$145,200 USD
About Tebra
Tebra is the only all-in-one EHR+ platform built exclusively for independent healthcare practices. Designed to replace the clunky, fragmented tools built for corporate systems, Tebra connects EHR software, billing, automation, telehealth solution, and marketing - so providers can spend less time on admin and more time with patients. More than 42,000 private practices trust Tebra to streamline operations, increase revenue, and reduce burnout - helping clinicians leave work on time and rediscover their purpose. Learn more at www.tebra.com.
Our Values
Start with the Customer
We get to know our customers - and their patients - and look at the world through their lens.
Keep It Simple
Healthcare is too complex. We aim to simplify it for everyone.
Stay Entrepreneurial
We reject the status quo and solve problems with creativity, perseverance, and a bias to action.
Better Together
We are diverse, humble, and collaborative. We put the team first and win together.
Celebrate Success
Life is short and joy is underrated. We take time to have fun and celebrate success.
Perks & Benefits
United States: In addition to our healthcare benefits, we also offer amazing perks! Need work from home basics? We offer a discount through Dell! We also offer a number of resources to help you keep your mind and body healthy. Check out Gympass for a great workout, or TelusEmployee Assistance Program to find mental health resources, along with other resources for everyday occurrences.
Costa Rica: To assist with all of life's needs, Tebra also offers a wellness and childcare subsidy and a University/Education discount! We also offer a number of resources to help you keep your mind and body healthy. Check out Gympass for access to health and fitness apps, or Telus Employee Assistance Program to find mental health resources, along with other resources for everyday occurrences.
Compliance & Privacy Disclosures
NOTE: Tebra is an equal opportunity employer. All applicants will be considered for employment without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
California residents who apply or are recruited for a job with us: please carefully review our California-specific Privacy Notice under the California Consumer Protection Act here: https://www.tebra.com/privacy-policy/california-supplemental-notice/
If you would like to report a fraudulent Tebra job posting, please contact us at talentacquisition@tebra.com and consider reporting your experience to the FBI's Internet Crime Complaint Center or the Better Business Bureau to help keep others safe online, too.
As part of our commitment to a fair and efficient hiring process, Tebra utilizes BrightHire, an interview intelligence platform, for our phone and video screenings. This technology records and transcribes interviews to help us ensure consistency, reduce bias, and make more informed hiring decisions. By applying for this position, you acknowledge that your interview may be recorded.