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Commission Databricks Data Engineer Jobs in Florida

Sr Data Engineer

Plantation, FL · On-site

$109K - $131K/yr

... preferably Databricks/Snowflake/Azure Synapse required. • Experience in DevOps activities ... data models and creating effective dashboards. • Demonstrated ability to translate complex ...

Sr Data Engineer

Plantation, FL · Remote

$109K - $131K/yr

... preferably Databricks/Snowflake/Azure Synapse required. • Experience in DevOps activities ... data models and creating effective dashboards. • Demonstrated ability to translate complex ...

The Technology & Data team is seeking an experienced Data Engineer II to support the design ... Utilize Databricks, Apache Spark, and Delta Lake technologies to process and transform large ...

The Technology & Data team is seeking an experienced Data Engineer II to support the design ... Utilize Databricks, Apache Spark, and Delta Lake technologies to process and transform large ...

The Technology & Data team is seeking an experienced Data Engineer II to support the design ... Utilize Databricks, Apache Spark, and Delta Lake technologies to process and transform large ...

Data Lake Engineer

Miami, FL · On-site

$110 - $170/hr

The candidate must be proficient in Data Lakes platforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based data engineering. Essential Duties and Responsibilities * Develop ...

New

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

ReturnPro is seeking an experienced Data Engineer to lead the design, development, and optimization ... with Azure Data Services and Databricks. • Excellent problem-solving, analytical, and ...

Data Engineer

Aventura, FL · On-site

$109K - $131K/yr

... Databricks. · Excellent problem-solving, analytical, and communication skills. · Experience working in agile environments and collaborating with diverse teams.

Data Engineer

Aventura, FL · On-site

$109K - $131K/yr

... Databricks. • Excellent problem-solving, analytical, and communication skills. • Experience working in agile environments and collaborating with diverse teams.

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 ArcGIS environments, and cloud-based data engineering. Essential Duties and Responsibilities * Develop ...

New

Data Engineer- Greater Tampa

Tampa, FL · On-site

$108K - $129K/yr

MaxHealth is seeking a Data Engineer for developing, maintaining, and supporting enterprise data ... Experience with Microsoft Fabric components as well as Databricks * Familiarity with Azure Data ...

New

Data Engineer- Greater Tampa

Tampa, FL

$108K - $129K/yr

MaxHealth is seeking a Data Engineer for developing, maintaining, and supporting enterprise data ... Experience with Microsoft Fabric components as well as Databricks * Familiarity with Azure Data ...

New

Lead Data Engineer

Lakeland, FL · On-site

$106K - $127K/yr

WellDyne is seeking a Lead Data Engineer to design, build, and maintain the organization ... Snowflake, Databricks, Redshift, or BigQuery) and storage layers (S3, ADLS). • Strong ...

Showing results 41-60

Commission Databricks Data Engineer information

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

AspectCommission Databricks Data EngineerCommission Data Engineer
CertificationsDatabricks certifications, cloud platform credentialsGeneral data engineering certifications, cloud platform credentials
Work EnvironmentPrimarily on Databricks platform, cloud-basedVarious cloud platforms, on-premises or cloud
Industry UsageTech, finance, healthcare with Databricks adoptionBroad industry, including finance, retail, healthcare

The Commission Databricks Data Engineer specializes in working with Databricks platform for data processing and analytics, often requiring Databricks-specific certifications. In contrast, the Commission Data Engineer has a broader scope, working across multiple platforms and environments. Both roles involve building data pipelines and managing data workflows, but the Databricks-focused role emphasizes expertise in Databricks tools and cloud integrations.

How much does a Commission Databricks Data Engineer make?

A Databricks Data Engineer's salary varies based on experience, location, and company size, but typically ranges from $90,000 to $140,000 annually. Those with advanced skills in Spark, cloud platforms, and data pipeline development may earn higher compensation, especially with certifications or in high-demand markets.

Is a Databricks data engineer in demand?

Databricks data engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, SQL, and cloud environments like AWS or Azure enhance job prospects, with many organizations seeking professionals to manage large-scale data workflows and analytics.

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 cities in Florida are hiring for Commission Databricks Data Engineer jobs?

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

Sr Data Engineer

Pediatric Associates

Plantation, FL • On-site

$109K - $131K/yr

Full-time

Re-posted 8 days ago


Job description

PRIMARY FUNCTION
The Senior Data Engineer is responsible for architecting and implementing reliable, scalable ELT/ETL workflows that support enterprise-wide data needs. This role requires deep expertise in data analysis, data modeling, and the design of complex ELT pipelines that enable efficient data integration and analytics.
The Senior Data Engineer collaborates closely with cross-functional teams-including data analysts, data scientists, product managers, and business stakeholders-to define requirements, drive technical discussions, and develop high-quality data solutions. Additionally, this role is expected to clearly communicate technical concepts, translate complex data challenges into actionable business insights, and guide teams toward best-practice data engineering approaches.
ESSENTIAL DUTIES AND RESPONSIBILITIES
This list may not include all of the duties that may be assigned.
1)Design, build, and maintain scalable, reliable ELT/ETL pipelines using modern data engineering tools and frameworks.
2)Architect and optimize data models, schemas, and data platforms to support both analytical and operational workloads.
3)Design, document, and maintain enterprise-level data models (conceptual, logical, and physical) using data modeling best practices.
4)Collaborate with cross-functional teams to understand requirements, define data strategies, and deliver high-quality engineering solutions.
5)Lead and drive technical discussions, solution design, and architectural decisions across teams.
6)Implement and enforce comprehensive data quality standards, validation rules, and monitoring frameworks to ensure accuracy, consistency, completeness, and reliability across all data assets.
7)Develop efficient, well-structured SQL and complex data transformation logic to support analytics and reporting.
8)Monitor, troubleshoot, and enhance data pipelines for performance, reliability, and cost efficiency.
9)Ensure data security, compliance, and adherence to best practices across cloud and on-premise data systems.
10)Communicate complex technical topics in a clear, business-aligned manner to stakeholders at all levels.
11)Mentor and guide junior and mid-level engineers, contributing to team growth and engineering excellence.
QUALIFICATIONS
EDUCATION: Bachelor's degree in related field required. Master's degree preferred.
EXPERIENCE:
• 10+ years of experience in data engineering or a related field required.
• Expert-level proficiency in SQL and experience with data transformation tools (e.g., Azure Data Factory, Apache Spark, Glue) required.
• Proven experience architecting and maintaining large-scale ELT/ETL pipelines in cloud environments (AWS, Azure, or GCP) required.
• Deep understanding of data modeling concepts (dimensional modeling, star schema, normalization) required.
• Hands-on experience with modern data warehousing platforms, preferably Databricks/Snowflake/Azure Synapse required.
• Experience in DevOps activities, including CI/CD integration using Databricks Asset Bundles (DABs) required.
• Strong programming skills in Python or another modern scripting language required.
KNOWLEDGE, SKILLS AND ABILITIES
• Demonstrated ability to translate complex business requirements into scalable, high-impact technical solutions.
• Excellent communication, documentation, and stakeholder engagement skills.
• Proficient in building Power BI data models and creating effective dashboards.
• Demonstrated ability to translate complex business requirements into scalable, high-impact technical solutions.
• Excellent communication, documentation, and stakeholder engagement skills.
• Proficient in building Power BI data models and creating effective dashboards.
TYPICAL WORKING CONDITIONS
• Full time remote/telework
OTHER PHYSICAL REQUIREMENTS
• Vision
• Sense of sound
• Sense of touch