As a Full Stack Developer, you'll be responsible for building and improving integrations and data pipelines, ensuring reliable data flow to enable real-time feedback for property managers.
As a Full Stack Developer, you'll be responsible for building and improving integrations and data pipelines, ensuring reliable data flow to enable real-time feedback for property managers.
They are seeking a Full Stack Developer to build and improve their products, focusing on integrations and data pipelines that connect with property management systems. Responsibilities : • Build ...
They are seeking a Full Stack Developer to build and improve their products, focusing on integrations and data pipelines that connect with property management systems. Responsibilities : • Build ...
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Full Stack Data Engineer information
See Orem, UT salary details
$38.7K - $50.2K
1% of jobs
$50.2K - $61.8K
3% of jobs
$61.8K - $73.3K
4% of jobs
$73.3K - $84.8K
5% of jobs
$84.8K - $96.4K
11% of jobs
$97K is the 25th percentile. Wages below this are outliers.
$96.4K - $107.9K
15% of jobs
The median wage is $115.5K / yr.
$107.9K - $119.5K
17% of jobs
$119.5K - $131K
17% of jobs
$133.2K is the 75th percentile. Wages above this are outliers.
$131K - $142.5K
13% of jobs
$142.5K - $154.1K
9% of jobs
$154.1K - $165.6K
5% of jobs
$38.7K
$117.2K
$165.6K
How much do full stack data engineer jobs pay per year?
What is the difference between Full Stack Data Engineer vs Data Scientist?
| Aspect | Full Stack Data Engineer | Data Scientist |
|---|---|---|
| Credentials | Bachelor's/Master's in CS, Data Engineering certifications | Bachelor's/Master's in CS, Data Science or related fields |
| Work Environment | Build data pipelines, manage databases, develop APIs | Analyze data, create models, generate insights |
| Industry Usage | Tech, finance, healthcare, where data infrastructure is key | Research, analytics, product development teams |
Full Stack Data Engineers focus on building and maintaining data infrastructure, integrating data from various sources, and ensuring data availability. Data Scientists analyze data, develop models, and generate insights. While both roles require strong technical skills, Full Stack Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.
What are the key skills and qualifications needed to thrive as a Full Stack Data Engineer, and why are they important?
How does a Full Stack Data Engineer typically balance responsibilities between backend data infrastructure and frontend data presentation tasks?
What is a Full Stack Data Engineer?

Full-time
Posted 22 days ago
Job description
Opiniion Inc. is a resident satisfaction software company that partners with property management companies to enhance living experiences for residents. As a Full Stack Developer, you'll be responsible for building and improving integrations and data pipelines, ensuring reliable data flow to enable real-time feedback for property managers.
Responsibilities:
• Build, maintain, and extend integrations with property management systems including Yardi, RealPage, and Entrata, handling API communication, authentication, data mapping, and error recovery.
• Design integration patterns that are reusable across PMS platforms, reducing the effort to onboard new partners and data sources.
• Own the reliability of production integrations: monitoring, alerting, retry logic, and incident response when pipelines fail or degrade.
• Build and maintain ETL pipelines that ingest, transform, and load data from external PMS platforms and internal sources into our data infrastructure, including performant SQL transformations.
• Partner with analytics engineering to keep upstream data quality high so downstream dashboards and reporting stay trustworthy.
• Contribute across the full stack, from front-end product work to back-end services, as the team's priorities move.
Qualifications:
Required:
• 5+ years of professional software engineering experience.
• True full-stack range: comfortable on the front end (JavaScript or TypeScript with a modern framework, Vue preferred, React welcome) and on the back end (services and APIs in Node.js and/or Python).
• Strong SQL and solid relational data fundamentals (joins, CTEs, window functions, indexing).
• Experience designing and consuming REST APIs, including auth flows (OAuth, API keys, token refresh), pagination, rate limiting, and error handling.
• Comfortable in AWS (RDS, S3, ECS or Lambda, IAM basics) and using Docker for local development.
• Disciplined with Git, pull requests, CI/CD, testing, and clear documentation.
• Meaningful time spent on integrations, ETL, or data engineering work.
• Strong Python proficiency for building services, scripts, and pipeline logic.
Preferred:
• Experience integrating with property management systems (Yardi, RealPage, Entrata) or other proptech platforms.
• Familiarity with ETL/ELT tooling (Fivetran, Airflow, or custom pipeline orchestration).
• Ruby on Rails experience.
• Databricks or Spark SQL experience.
• Experience with MongoDB or other NoSQL data sources.
Company:
Opiniion is an industry leading resident satisfaction software. Founded in 2017, the company is headquartered in Lindon, USA, with a team of 51-200 employees. The company is currently Growth Stage.
About Opiniion
Sourced by ZipRecruiter
Industry
Software development
Company size
11 - 50 Employees
Headquarters location
Lindon, UT, US
Year founded
2017