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Sr. Lead Data Engineer
Job in
Miami, Miami-Dade County, Florida, 33222, USA
Listed on 2025-12-27
Listing for:
Matlen Silver
Full Time
position Listed on 2025-12-27
Job specializations:
-
IT/Tech
Data Engineer, Data Science Manager, Data Analyst
Job Description & How to Apply Below
1 week ago Be among the first 25 applicants Direct message the job poster from Matlen Silver
Lead Data Engineer – Benefits AnalyticsLocation:
Miami, FL (Hybrid)
Employment Type:
Full-Time
*** Due to client requirements this is open to GC and USC candidates only
- No C2C!
We are seeking a Lead Data Engineer to support the Benefits organization within Total Source/HRO. This role partners closely with Actuaries and the Business Intelligence team to design, build, and maintain scalable data solutions that enable advanced analytics and reporting across Benefits.
Key Responsibilities- Lead the design, development, and optimization of data pipelines to source, aggregate, and transform large datasets for BI and analytics use cases.
- Collaborate with Actuaries and BI Analysts to ensure high-quality, analytics-ready data for reporting and insights.
- Build and maintain data solutions using Spark and Databricks in a cloud environment (Azure or AWS).
- Develop and optimize SQL and Python-based data transformations and data models.
- Provide technical leadership on data engineering initiatives, including implementations, enhancements, migrations, and platform upgrades.
- Ensure data reliability, performance, and scalability while adhering to data governance and best practices.
- 7+ years of data engineering experience, including leadership or lead-level responsibilities.
- Strong hands‑on experience with Apache Spark and Databricks.
- Experience working in Azure or AWS cloud environments.
- Advanced proficiency in Python and SQL.
- Proven experience delivering data engineering solutions across complex projects (e.g., implementations, enhancements, migrations).
- Experience supporting Benefits, HCM, or HR-related data domains (nice to have, not required).
- Retail or large‑scale enterprise data experience is a strong plus.
- Strong communication skills with the ability to translate business and analytical needs into technical solutions.
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