> Markdown version of [/jobs/ext/3449616-data-engineer](https://www.wearedevelopers.com/jobs/ext/3449616-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Engineer

- **Company:** Propertyvalue Quantum Technologies Llc
- **Location:** Boca Raton, FL, United States
- **Experience:** Experienced
- **Salary:** $135,200.0
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Automation of Tests, Microsoft Azure, Cloud Database, Databases, Continuous Integration, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Security, Data Systems, Data Warehousing, DevOps, Python (Programming Language), Meta-Data Management, SQL Databases, Data Streaming, Scripting, Data Storage Technologies, Data Ingestion, Snowflake, Data Lakes, Data Management, Software Version Control, Data Pipelines
- **Published:** September 30, 2026
- **Apply:** https://www.dice.com/job-detail/c665912b-a0f0-4dff-bf4d-a3ca55abc2b8

## About the Role

Core Experience: 5+ years in SQL, data engineering, and data modeling.

Data Platforms: Builds and supports data warehouses, data lakes, and lake house environments.

Snowflake: Minimum 2 years of hands-on Snowflake experience.

Delivery Leadership: Leads full-lifecycle data engineering or reporting initiatives.

Data Ingestion: Designs and builds ingestion patterns for files, APIs, databases, CDC, replication, and streaming/message-based data sources.

Data Pipelines: Builds, optimizes, and operates reliable ETL/ELT pipelines and integrated datasets.

DevOps: Uses CI/CD, automated testing, and deployment practices for data solutions.

Scripting: Uses scripting languages, must have Python, for data engineering automation.

Ownership: Works independently, manages priorities, and drives outcomes with minimal supervision.

Problem Solving: Applies strong analytical, troubleshooting, and root cause analysis skills.

## Description

Communication: Communicates clearly and coordinates effectively with technical and business partners.

Data Security: Applies security practices such as encryption, anonymization, masking, and access- aware design.

Modern Data Architecture: Understands warehouse, lake, lake house, and cloud-based data architecture patterns.

Azure Familiarity: Understands Azure services used for data storage, integration, processing, orchestration, and security.

Orchestration: Manages pipeline orchestration, scheduling, monitoring, and data flow reliability.

Metadata Management: Uses metadata-driven practices to improve usability, lineage, and governance.

Version Control: Uses version control to support quality, traceability, and team collaboration.