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Sr. Lead Data Engineer

Job in Miami, Miami-Dade County, Florida, 33222, USA
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 Analytics

Location:

Miami, FL (Hybrid)

Employment Type:

Full-Time

*** Due to client requirements this is open to GC and USC candidates only
- No C2C!

Overview

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.
Required Skills & Experience
  • 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).
Preferred Qualifications
  • 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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