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Manager Databricks Data Engineer Jobs in Florida

Sr Data Engineer

Plantation, FL · On-site

$109K - $131K/yr

... managers, and business stakeholders-to define requirements, drive technical discussions, and ... preferably Databricks/Snowflake/Azure Synapse required. • Experience in DevOps activities ...

Sr Data Engineer

Plantation, FL · Remote

$109K - $131K/yr

... managers, and business stakeholders--to define requirements, drive technical discussions, and ... preferably Databricks/Snowflake/Azure Synapse required. • Experience in DevOps activities ...

We partner with managed care organizations to provide innovative healthcare solutions that drive ... Utilize Databricks, Apache Spark, and Delta Lake technologies to process and transform large ...

We partner with managed care organizations to provide innovative healthcare solutions that drive ... Utilize Databricks, Apache Spark, and Delta Lake technologies to process and transform large ...

We partner with managed care organizations to provide innovative healthcare solutions that drive ... Utilize Databricks, Apache Spark, and Delta Lake technologies to process and transform large ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

... • Manage data lakes to facilitate efficient data access and processing for downstream ... Databricks. • Excellent problem-solving, analytical, and communication skills. • Experience ...

Data Lake Engineer

Miami, FL · On-site

$110 - $170/hr

The candidate must be proficient in Data Lakes platforms such as Databricks, Kubernetes, ESRI ... Manage CI/CD pipelines, containerized deployments in Kubernetes, and API authentication mechanisms ...

New

Data Engineer

Aventura, FL · On-site

$109K - $131K/yr

Database and Data Warehousing · Design, implement, and manage relational (SQL) and non-relational ... Databricks. · Excellent problem-solving, analytical, and communication skills. · Experience ...

Data Engineer

Aventura, FL · On-site

$109K - $131K/yr

Database and Data Warehousing • Design, implement, and manage relational (SQL) and non-relational ... Databricks. • Excellent problem-solving, analytical, and communication skills. • Experience ...

Full-Stack Data Engineer

Miami, FL · On-site

$120 - $160/hr

The candidate must be proficient in Data Lakes platforms such as Databricks, Kubernetes, ESRI ... Manage CI/CD pipelines, containerized deployments in Kubernetes, and API authentication mechanisms ...

New

... Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with ... Resource Manager, Terraform - Building and deploying DevOps pipelines with cloud services ...

... Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with ... Resource Manager, Terraform - Building and deploying DevOps pipelines with cloud services ...

Data Engineer- Greater Tampa

Tampa, FL · On-site

$108K - $129K/yr

Experience with Microsoft Fabric components as well as Databricks * Familiarity with Azure Data ... management activities * Follow established security, compliance, and data governance standards ...

New

Showing results 41-60

Manager Databricks Data Engineer information

What is the difference between Manager Databricks Data Engineer vs Data Engineer?

AspectManager Databricks Data EngineerData Engineer
Primary FocusTeam leadership, project management, strategic planningData pipeline development, data modeling, ETL processes
Required SkillsLeadership, Databricks platform knowledge, data architectureSQL, Spark, Python, cloud platforms
CertificationsDatabricks certifications, leadership credentialsDatabricks certifications, technical skills
Work EnvironmentManagement, cross-team collaboration, strategic oversightHands-on data processing, coding, pipeline implementation

The Manager Databricks Data Engineer oversees data engineering teams and manages projects on the Databricks platform, focusing on strategy and leadership. In contrast, a Data Engineer primarily handles technical tasks like building data pipelines and coding. Both roles require Databricks platform knowledge and relevant certifications, but the managerial role emphasizes leadership and project management, while the Data Engineer role is more technical and execution-focused.

How much does a Manager Databricks Data Engineer make?

A Manager Databricks Data Engineer typically earns between $120,000 and $160,000 annually, depending on experience, location, and company size. They often require strong skills in Spark, SQL, and cloud platforms like Azure or AWS, along with leadership responsibilities. Compensation may also include bonuses and stock options.

Is a Manager Databricks Data Engineer in demand?

Manager Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for advanced data processing skills. They typically require expertise in Spark, SQL, and cloud environments, making their roles critical in data-driven organizations seeking scalable analytics solutions.

What are the most commonly searched types of Databricks Data Engineer jobs in Florida?

The most popular types of Databricks Data Engineer jobs in Florida are:

What are popular job titles related to Manager Databricks Data Engineer jobs in Florida?

For Manager Databricks Data Engineer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Manager Databricks Data Engineer jobs in Florida look for?

The top searched job categories for Manager Databricks Data Engineer jobs in Florida are:

What cities in Florida are hiring for Manager Databricks Data Engineer jobs?

Cities in Florida with the most Manager Databricks Data Engineer job openings:

Infographic showing various Manager Databricks Data Engineer job openings in Florida as of August 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution.

Information Technology_USA - USA_Engineer

Real Soft, Inc.

Jacksonville, FL • On-site

$106K - $127K/yr

Contractor

Re-posted 17 days ago


Job description

**Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES BETWEEN UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
Example: PTN_US_9999999_SKIPJOHNSON0413
: -
MSP Owner: Rob Finton
Location: Atlanta, GA (3 days work from customer location)
Duration: 6 months
skill id: 10743006
Responsibilities:
• Defines data requirements, gather, and wrangle large scale of structured and unstructured data, and validate data by running various data tools in the Data Environment.
• Supports the standardization, customization, and ad-hoc data analysis, and will develop the mechanisms to ingest, analyze, validate, normalize and clean data.
• Creates data policy and develop interfaces and retention models which requires synthesizing or anonymizing data.
• Implements statistical data quality procedures on new data sources, and by applying rigorous iterative data analytics, supports Data Scientists and analytics and insights creation in data sourcing and preparation to visualize data and synthesize insights of commercial value.
• Develops and maintains data engineering best practices and contributes to Insights on data analytics and visualization concepts, methods and techniques.
• Works closely with the data science and business intelligence teams to develop data models and pipelines for research, reporting, and machine learning.
• Design, implement, and support scalable data infrastructure solutions to integrate with multi-heterogeneous data sources, aggregate and retrieve Big Data in a fast and safe mode, curate data that can be used in BI reporting, analysis, machine learning models and ad-hoc data requests.
• Build data pipelines that clean, transform, and aggregate data from disparate sources.
• Engages with business teams to gather requirements and design data solutions.
• Mentors team of more Junior Data Engineers.
• Collaborates across multiple projects to provide data engineering expertise across teams.
• Analyzes most relevant insights and shares with leadership to provide strategic recommendations for the business
• Lead a team of data engineers and act as a key senior contributor to a data engineering project.
Skills and Experience:
• 7+ years of overall IT experience
• 5+ years of experience in a data engineering/ETL role with a track record of manipulating, processing, and extracting value from large datasets
• 3+ years of experience with Big Data tools/technologies like Hadoop, Spark, Spark SQL, Kafka, Sqoop, Hive, S3, HDFS, or Cloud platforms e.g. AWS, GCP, etc.
• 3+ years building, testing, and optimizing data ingestion pipelines, architectures, and data sets with Tibco, IBM or others.
• Databricks UI, Managing Databricks Notebooks, Delta Lake with Python, Delta Lake with Spark SQL, Delta Live Tables, Unity Catalog.
• High-velocity high-volume stream processing with Apache Kafka and Spark Streaming.
• Strong SQL skills with ability to write intermediate complexity queries.
• ETL experience with PySpark, Spark SQL , IBM Data Stage or similar.
• Agile Scrum, Kanban or SAFe experience.
Skills Desired
• Databricks, Python (and/or Scala) and PySpark/Scala-Spark.
• Database solutions like Databricks, Teradata, Mainframe, DB2 or BigQuery.
• BI Solutions like Spotfire, OAC, Tableau or PowerBI
• Azure, AWS Serverless technologies, like, S3, Kinesis/MSK, lambda, and Glue.
• Messaging Platforms like Kafka, Amazon MSK & TIBCO EMS or IBM MQ Series.
• Strong SQL skills with ability to write intermediate complexity queries
• Experience with GIT code versioning software
Essential Skills: Data Engineer
Skills: Digital : Google Data Engineering
Experience Required: 10 & Above, Project Code :