1

Databricks Engineer Jobs in Florida (NOW HIRING)

Data Engineer

Tampa, FL

$108K - $129K/yr

As an Azure Databricks Data Engineer at Slide, you will build and support data pipelines using Azure Data Factory , Databricks , PySpark , and Spark SQL . You'll partner with engineering and business ...

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

As an Azure Databricks Data Engineer at Slide, you will build and support data pipelines using Azure Data Factory , Databricks , PySpark , and Spark SQL . You'll partner with engineering and business ...

Data Engineer

Miami, FL

$120K - $180K/yr

We are seeking a Data Engineer to join our dynamic team. The ideal candidate is an enthusiastic ... Design, build, and maintain end-to-end data pipelines using Databricks (SparkSQL, PySpark) for data ...

Data Engineer

Miami, FL · Remote

$135K - $155K/yr

Our teams work with technologies like Databricks, Snowflake, dbt, and the broader Microsoft ... Experience: 5+ years of industry experience as a hands‑on practitioner in Data Engineering. Note:

next page

Showing results 1-20

Databricks Engineer information

See Florida salary details

$44.5K

$83.4K

$151.7K

How much do databricks engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for databricks engineer in Florida is $83,421.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,200.00 and $99,000.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior Databricks Engineers with extensive experience, specialized skills in big data, cloud platforms, and advanced analytics can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or with significant bonuses and stock options. Such compensation typically requires a combination of technical expertise, leadership roles, and years of industry experience.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong job market for qualified candidates.

What are some common challenges faced by Databricks Engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications held.

Is Databricks a high paying job?

A Databricks Engineer typically earns a high salary due to the specialized skills required in cloud computing, big data processing, and Spark platform expertise. Compensation varies based on experience, location, and certifications, but it is generally above average for data engineering roles.

What is a Databricks Engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

What are the key skills and qualifications needed to thrive as a Databricks Engineer, and why are they important?

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.
What cities in Florida are hiring for Databricks Engineer jobs? Cities in Florida with the most Databricks Engineer job openings:
Infographic showing various Databricks Engineer job openings in Florida as of July 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 73% In-person, 18% Hybrid, and 9% Remote job distribution, with an average salary of $83,421 per year, or $40.1 per hour.
Senior Data QA/Databricks Implementation Lead

Senior Data QA/Databricks Implementation Lead

Kforce Technology Staffing

Juno Beach, FL • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago


Job description

RESPONSIBILITIES:
Kforce has a client that is seeking a Senior Data QA/Databricks Implementation Lead in Juno Beach, FL.
Roles and Responsibilities:
Strategic Leadership & Governance:
* Lead the development and enforcement of enterprise standards for Databricks Unity Catalog, Medallion architecture, metadata, and domain onboarding
* Serve as a senior advisor to domain data owners and stewards on data quality, CDE definitions, and semantic alignment
* Drive adoption of enterprise data governance practices across business units and technical teams
* Establish and maintain enterprise data quality frameworks, KPIs, and monitoring capabilities
Databricks Unity Catalog Architecture & Implementation:
* Design and oversee the implementation of domain catalogs, Bronze/Silver/Gold schemas, lineage, and metadata structures
* Lead cross-domain onboarding into Unity Catalog, ensuring consistent patterns, tagging, and access controls
* Partner with platform engineering to embed governance, lineage, and quality rules into Databricks pipelines
* Ensure Unity Catalog is the authoritative source for ownership, sensitivity, and semantic metadata
Advanced Data Quality Engineering:
* Architect and implement complex data quality rules, validation frameworks, and automated monitoring
* Lead profiling, anomaly detection, and root-cause analysis for high-impact data issues
* Define enterprise standards for CDE quality thresholds, rule design, and remediation workflows
* Oversee quality scoring and trust indicators for Gold-layer data products
Cross-Domain Collaboration & Enablement:
* Facilitate working sessions with stewards, owners, and engineering teams to align on definitions, lineage, and data product requirements
* Mentor junior analysts and guide teams on best practices for data quality and Databricks implementation
* Provide leadership in resolving cross-domain data issues, semantic conflicts, and lineage gaps
REQUIREMENTS:
* 6-10 years of experience in data quality, data governance, data engineering, or analytics
* Deep hands-on experience with Databricks, Delta Lake, and Unity Catalog
* Strong understanding of Medallion architecture and domain-driven data design
* Expertise in data quality engineering, profiling, rule development, and monitoring
* Experience leading cross-functional governance or data quality initiatives
* Proficiency in SQL and familiarity with Python or PySpark
* Strong communication and stakeholder management skills, including executive-level engagement
* Ability to translate complex business requirements into scalable technical solutions
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.