> Markdown version of [/jobs/ext/4660307-data-engineer-iii](https://www.wearedevelopers.com/jobs/ext/4660307-data-engineer-iii). 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 III

- **Company:** Inspyr Solutions
- **Location:** Davie, FL, United States
- **Experience:** Expert
- **Salary:** $140,000 - $154,000
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Customer Data Management, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Warehousing, Python (Programming Language), Performance Tuning, Software Architecture, Role-Based Access Control, SQL Databases, Snowflake, Apache Spark, Data Pipelines, Databricks
- **Published:** November 10, 2026
- **Apply:** https://www.dice.com/job-detail/3a01bf82-2217-4b21-981a-52b708fdf71c

## About the Role

* Ideal Candidate Profile: A highly hands-on Senior Data Engineer with 7+ years of enterprise data engineering experience, deep Snowflake expertise, and strong Lakehouse architecture knowledge.
 * The ideal candidate has a proven track record of owning end-to-end data solutions, building scalable ETL/ELT pipelines and dimensional data models, making independent architectural decisions, and mentoring other engineers.
 * Experience with Databricks, Spark, Azure/AWS, and industries such as gaming, hospitality, loyalty, CRM, or customer analytics is highly preferred. This person should be capable of designing and owning solutions, not simply executing predefined technical tasks.
 * Deep Snowflake expertise (5+ years), including SQL, Streams, Tasks, Dynamic Tables, performance tuning, security, RBAC, warehouse optimization, and cost management.

 * Strong experience designing and implementing modern Lakehouse/Data Platform architectures, including Medallion Architecture and large-scale data integration.
 * Proven hands-on experience building and supporting enterprise ETL/ELT pipelines using SQL, Python, ADF, Airflow, CDC, data quality controls, monitoring, and dimensional data modeling.

## Description

* Lead development of Customer 360/CDP solutions, integrating customer data across client's business units for loyalty, CRM, marketing, and analytics use cases.
 * Design scalable data models and pipelines supporting gaming data, player activity, loyalty programs, offers, and enterprise KPIs.
 * Modernize and enhance the Snowflake enterprise data platform with a focus on governance, observability, lineage, reliability, and data quality.
 * Partner with Data Engineering, Analytics, Data Science, Marketing, and Product teams to deliver trusted, business-ready datasets and reporting solutions.