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Greenhouse Data Engineer Jobs in Texas (NOW HIRING)

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 ...

Prepare and submit annual Greenhouse Gas reports for applicable facilities. * Develop and maintain ... Strong data management proficiency and experience with emissions tracking/calculation tools ...

Prepare and submit annual Greenhouse Gas reports for applicable facilities. * Develop and maintain ... Strong data management proficiency and experience with emissions tracking/calculation tools ...

Own full-lifecycle recruiting across technical (AI/ML, Data Engineering, Software Architecture ... Maximize Greenhouse to manage pipelines, maintain high data hygiene standards, track funnels, and ...

Analyze environmental data and develop recommendations for site closure and regulatory compliance ... Perform air emissions calculations for criteria pollutants, hazardous air pollutants, greenhouse ...

Analyze environmental data and develop recommendations for site closure and regulatory compliance ... Perform air emissions calculations for criteria pollutants, hazardous air pollutants, greenhouse ...

Analyze environmental data and develop recommendations for site closure and regulatory compliance ... Perform air emissions calculations for criteria pollutants, hazardous air pollutants, greenhouse ...

Own full-lifecycle recruiting across technical (AI/ML, Data Engineering, Software Architecture ... Maximize Greenhouse to manage pipelines, maintain high data hygiene standards, track funnels, and ...

Own full-lifecycle recruiting across technical (AI/ML, Data Engineering, Software Architecture ... Maximize Greenhouse to manage pipelines, maintain high data hygiene standards, track funnels, and ...

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Greenhouse Data Engineer information

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 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.

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 popular job titles related to Greenhouse Data Engineer jobs in Texas?

For Greenhouse Data Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Greenhouse Data Engineer jobs in Texas look for?

The top searched job categories for Greenhouse Data Engineer jobs in Texas are:

What cities in Texas are hiring for Greenhouse Data Engineer jobs?

Cities in Texas with the most Greenhouse Data Engineer job openings:

Infographic showing various Greenhouse Data Engineer job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior Data Engineer - People Technology

SolarWinds

Austin, TX

$105K - $142K/yr

Full-time

Re-posted 24 days ago


SolarWinds rating

7.8

Company rating: 7.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies


Job description

We are building our People Analytics platform from scratch on a modern data stack (GCP/BigQuery, CData, dbt). We are looking for a Senior Analytics Engineer to lead the architecture, implementation, and ongoing evolution of our new People Analytics data platform. This is a foundational, "greenfield" role: you will be responsible for defining the blueprint of how we ingest, store, and transform HR data from systems like SuccessFactors and Greenhouse into meaningful insights. You are not just building pipelines; you are architecting a high-performance AI-ready data product that will enable our People team to make data-driven decisions on a scale.

What You Will Do:
Infrastructure & GCP Architecture: Provision and manage our GCP environment (BigQuery) using Infrastructure-as-Code (Terraform). You will define the project structure and governance.
Modern Data Stack Ownership: Own the full pipeline-configure CData to sync HRIS/ATS systems into BigQuery, and use dbt to build a clean, modular transformation layer (Staging, Intermediate, and Marts).
AI Readiness: Collaborate on the data strategy to ensure that all data is clean, versioned, and documented creating a "feature store" ready for future BigQuery ML predictive modeling.
Governance & Security: Implement strict IAM policies, data masking, and access controls to ensure sensitive HR/PII data is protected.
Tableau Enablement: Build performant data marts specifically optimized for Tableau to ensure fast load times for the dashboard team.
Experience
5-8+ Years of Experience: Proven professional experience in Analytics Engineering, Data Engineering, or a highly technical Data Analyst role.
"Greenfield" Build Track Record: You have successfully led or been a core contributor to building a data platform from scratch. You understand how to make architectural trade-offs that favor long-term scalability over "quick fixes."
Engineering Discipline: 3+ years of hands-on experience with version control (Git/GitHub) and establishing CI/CD pipelines. You treat data transformation as software engineering.

Technical Stack Mastery:
SQL: Expert-level proficiency; comfortable with complex window functions and performance optimization.
dbt: Strong, demonstrated experience building and testing dbt projects (Jinja, macros, modular modeling).
GCP/BigQuery: Hands-on experience managing BigQuery project structure, dataset governance, partitioning/clustering, and IAM/security policies.

Domain Fluency: Ability to translate complex HR business requirements (e.g., Attrition, Headcount, Diversity, Time-to-Fill) into reusable dimensional data models.


Why Join Us?
Full Architectural Autonomy: You are the "architect" of our data platform. You will make the foundational decisions on schema design, security, and tooling, avoiding the constraints of legacy environments.
Modern "Gold-Standard" Stack: Work with a premium, future-proof stack (GCP, BigQuery, CData, dbt) that is highly sought after by top-tier data engineers.
High-Impact Strategic Role: You will be at the intersection of Data and HR, building the platform that helps our leadership understand our most important asset: our people. Your work directly influences how we hire, retain, and develop talent.
AI/ML Path: We aren't just building dashboards; we are building an AI-ready foundation. You will play a pivotal role in transitioning our platform from descriptive reporting to predictive modeling, setting a high bar for our technical evolution.
Culture of Excellence: We value clean code, automated testing, and rigorous documentation. You will work in an environment where technical debt is avoided, not accepted.


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