

TalentOla
Databricks
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (Databricks) in Tampa, FL, with a contract length of "unknown" and a pay rate of "unknown." Key skills include Databricks, Spark, SQL, and cloud platforms. Experience in data lake architecture is essential.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
June 27, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Tampa, FL
-
🧠 - Skills detailed
#Automation #Batch #SQL (Structured Query Language) #Data Governance #Data Pipeline #Data Security #Spark (Apache Spark) #Data Processing #Scala #Data Modeling #Databricks #Data Framework #Cloud #Data Engineering #AWS (Amazon Web Services) #"ETL (Extract #Transform #Load)" #Data Ingestion #ML (Machine Learning) #Data Lake #Security #AI (Artificial Intelligence)
Role description
Role - Data Engineer (Databricks)
Location - Tampa FL (Local profiles only)
Job Description – Data Engineer (Databricks
)We are seeking a hands-on Data Engineer to join our data platform team and serve as the go-to expert for designing, building, and scaling modern data solutions
.
Role Overvie
wYou will be responsible for building and scaling a cloud-based data platform, with a strong focus on Databricks, data pipelines, and secure architecture. This role combines engineering, platform design, and data governance, with an expectation of ownership from design through implementation
.
Key Responsibilitie
s· Design and implement scalable data pipelines for batch and streaming use case
s· Build and optimize Databricks-based data platform architectur
e· Define and implement data models and Lakehouse design pattern
s· Lead platform scalability, performance tuning, and cost optimization effort
s· Establish and enforce data security, access controls, and governance standard
s· Support data ingestion, transformation, and consumption layer
s· Enable downstream analytics, reporting, and AI-driven use case
s· Drive best practices for CI/CD, automation, and operational excellenc
e· Act as the technical SME for data engineering and platform desig
n
Required Skill
s· Strong experience with Databricks, Spark, and PySpar
k· Proven expertise in building data pipelines and distributed data processing system
s· Deep understanding of data lake / Lakehouse architecture
s· Strong SQL and data modeling skill
s· Experience working with cloud platforms (AWS or equivalent
)· Familiarity with data platform design, scalability, and performance optimizatio
n
Nice to Hav
e· Experience with streaming data framework
s· Exposure to AI/ML or data-driven application
s· Experience with data governance, lineage, and security framework
s· Familiarity with CI/CD pipelines for data engineerin
g
Role - Data Engineer (Databricks)
Location - Tampa FL (Local profiles only)
Job Description – Data Engineer (Databricks
)We are seeking a hands-on Data Engineer to join our data platform team and serve as the go-to expert for designing, building, and scaling modern data solutions
.
Role Overvie
wYou will be responsible for building and scaling a cloud-based data platform, with a strong focus on Databricks, data pipelines, and secure architecture. This role combines engineering, platform design, and data governance, with an expectation of ownership from design through implementation
.
Key Responsibilitie
s· Design and implement scalable data pipelines for batch and streaming use case
s· Build and optimize Databricks-based data platform architectur
e· Define and implement data models and Lakehouse design pattern
s· Lead platform scalability, performance tuning, and cost optimization effort
s· Establish and enforce data security, access controls, and governance standard
s· Support data ingestion, transformation, and consumption layer
s· Enable downstream analytics, reporting, and AI-driven use case
s· Drive best practices for CI/CD, automation, and operational excellenc
e· Act as the technical SME for data engineering and platform desig
n
Required Skill
s· Strong experience with Databricks, Spark, and PySpar
k· Proven expertise in building data pipelines and distributed data processing system
s· Deep understanding of data lake / Lakehouse architecture
s· Strong SQL and data modeling skill
s· Experience working with cloud platforms (AWS or equivalent
)· Familiarity with data platform design, scalability, and performance optimizatio
n
Nice to Hav
e· Experience with streaming data framework
s· Exposure to AI/ML or data-driven application
s· Experience with data governance, lineage, and security framework
s· Familiarity with CI/CD pipelines for data engineerin
g






