JBS Technologies Inc
Lead Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer with a contract length of "unknown," offering a pay rate of "unknown." It requires advanced skills in Databricks and Apache Spark, 3+ years in a lead capacity, and experience in cloud-based data platforms. Hybrid work is available, preferably local to Hollywood (Miami).
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
520
-
🗓️ - Date
August 18, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Miami, FL
-
🧠 - Skills detailed
#Debugging #SQL (Structured Query Language) #Snowflake #Data Engineering #Delta Lake #Data Architecture #Data Lake #ML (Machine Learning) #Apache Spark #Cloud #AI (Artificial Intelligence) #Data Lakehouse #Databricks #Spark (Apache Spark) #Python
Role description
W2 Role.. NO C2C
Remote work Available but someone local to Hollywood(Miami) area preferred
• Experience in Building Delta Lakehouse solution using Databricks.
• Advanced skills in optimizing Apache Spark for performance at scale, including fine-tuning Spark configurations, caching strategies, partitioning, and debugging slow-running jobs.
• 3+ years in a Lead, Principal, or Architect-level capacity.
• Extensive experience building modern cloud-based data platforms.
• Demonstrated success building greenfield data initiatives from concept through production.
• Strong expertise in:
-Snowflake
-Databricks
-Data Lakehouse Architectures
-Streaming Technologies
-Domain-Driven Design
-Data Product Development
-Experience designing and implementing:
-Customer 360 platforms
-Identity Resolution solutions
-Customer Identity Graphs
-Recommendation data architectures
-Strong SQL and Python skills.
-Experience supporting machine learning and AI workloads.
W2 Role.. NO C2C
Remote work Available but someone local to Hollywood(Miami) area preferred
• Experience in Building Delta Lakehouse solution using Databricks.
• Advanced skills in optimizing Apache Spark for performance at scale, including fine-tuning Spark configurations, caching strategies, partitioning, and debugging slow-running jobs.
• 3+ years in a Lead, Principal, or Architect-level capacity.
• Extensive experience building modern cloud-based data platforms.
• Demonstrated success building greenfield data initiatives from concept through production.
• Strong expertise in:
-Snowflake
-Databricks
-Data Lakehouse Architectures
-Streaming Technologies
-Domain-Driven Design
-Data Product Development
-Experience designing and implementing:
-Customer 360 platforms
-Identity Resolution solutions
-Customer Identity Graphs
-Recommendation data architectures
-Strong SQL and Python skills.
-Experience supporting machine learning and AI workloads.
