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Databricks Developer Jobs in Tampa, FL (NOW HIRING)

Jupiter IT Solutions LLC

Data Engineer - Databricks

Tampa, FL · On-site

$104K - $125K/yr

Data Engineer w/Databricks Location: Tampa, FL Full Time We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business Intelligence (BI) capabilities. This role ...

New

Fintech

Data Engineer - Databricks

Tampa, FL · On-site

$108K - $129K/yr

We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business Intelligence (BI) capabilities. This role will design and build data pipelines, deploy machine ...

Fintech

Data Engineer - Databricks

Tampa, FL · Hybrid

$108K - $129K/yr

We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business Intelligence (BI) capabilities. This role will design and build data pipelines, deploy machine ...

WorkNovas LLC

.Net Azure Developer

Tampa, FL · Remote

$56.25 - $69.75/hr

Job title: .Net Azure Developer Duration - 6 Months Location - FL remote Key Responsibilities ... Design, build, and optimize data pipelines using Azure Databricks, with strong use of PySpark and ...

Slide Insurance

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 ...

Humana

Senior Applied AI Engineer

Tampa, FL · On-site +1

$98K - $135K/yr

The hiring team owns a large data store in Databricks Unity Catalog containing all ITSM data that this role will leverage for their work. You will work closely with data engineering and business ...

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All JobsDatabricks Developer JobsDatabricks Developer Jobs in Tampa, FL

Databricks Developer information

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$19

$58

$75

How much do databricks developer jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for databricks developer in Tampa, FL is $58.11, according to ZipRecruiter salary data. Most workers in this role earn between $52.26 and $64.28 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of a Databricks Developer?

As a Databricks Developer, your typical day involves designing, developing, and maintaining scalable data pipelines using Databricks and Apache Spark. You’ll collaborate with data engineers, data scientists, and business analysts to ensure data is clean, accessible, and reliable for analytics and reporting. Tasks often include code reviews, optimizing data workflows, troubleshooting performance issues, and implementing best practices for data security and governance. This role offers a dynamic work environment that blends technical challenge with teamwork across multiple departments.

Is Databricks a high paying job?

A Databricks Developer typically earns a competitive salary due to the specialized skills required in big data processing, cloud computing, and Spark platform expertise. Salaries vary based on experience, location, and certifications, but generally align with other data engineering and cloud development roles in the industry.

What are the key skills and qualifications needed to thrive in the Databricks Developer position, and why are they important?

To thrive as a Databricks Developer, you need strong skills in data engineering, Spark programming, SQL, and cloud platforms, typically with a background in computer science or a related field. Hands-on experience with Databricks, Apache Spark, Python/Scala, and knowledge of cloud services like AWS or Azure, as well as relevant certifications, are highly valued. Analytical thinking, problem-solving, effective communication, and the ability to collaborate across teams are essential soft skills for this role. These abilities are crucial to designing scalable data solutions, streamlining data pipelines, and supporting business analytics in modern data-driven organizations.

Is Databricks an in demand skill?

Databricks skills are highly in demand for data engineering and data science roles, as many organizations adopt the platform for big data analytics and machine learning. Proficiency in Spark, SQL, and cloud environments enhances job prospects for Databricks developers.

What is a Databricks Developer job?

A Databricks Developer is responsible for designing, developing, and optimizing data pipelines and workflows using Databricks, a cloud-based data analytics platform. They work with big data technologies, such as Apache Spark, to process, transform, and analyze large datasets efficiently. Their role includes writing scalable code, creating data models, and collaborating with data engineers and analysts to support business intelligence and machine learning initiatives.

What jobs in the US pay 300,000 a year?

For a Databricks Developer, earning $300,000 annually typically requires extensive experience, advanced skills in big data processing, and often senior or lead roles in data engineering or analytics. High-paying positions may also involve leadership responsibilities, specialized certifications, or working in industries like finance or technology with complex data environments.

Is Databricks need coding?

Databricks developers typically need coding skills in languages such as Python, Scala, or SQL to build and optimize data pipelines, perform data analysis, and develop machine learning models within the platform. Proficiency in these programming languages is essential for most roles involving Databricks. Familiarity with Spark and cloud environments is also beneficial.
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Databricks Developer jobs near you

Data Engineer - Databricks

Jupiter IT Solutions LLC

Tampa, FL • On-site

$104K - $125K/yr

Other

Posted 2 days ago

New

Job description

No C2C or W2 arrangements are encouraged.  

We have an immediate Fulltime requirement with one of our direct clients, please review the job description and let me know if you are interested.

Role: Data Engineer w/Databricks

Location: Tampa, FL

Full Time

Job Description:

We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business Intelligence (BI) capabilities. This role will design and build data pipelines, deploy machine learning solutions, and operationalize intelligent analytics to drive decision-making across the organization. The ideal candidate blends data engineering best practices with applied machine learning, MLOps, and AI.

Key Responsibilities

Project Responsibility: End-to-end data pipelines and integrations

Technical Competencies:

·       Advanced SQL optimization and complex query design

·       Kafka streaming applications and connector development

·       Databricks workflow development with medallion architecture

·       Data governance implementation and compliance

·       Performance tuning for large-scale data processing

·       Data security and privacy best practices

·       Apache NiFi pipeline development for invoice and PO processing

·       Integration with purpose-built data stores (Druid, MongoDB, OpenSearch, Postgres)

·       Build and maintain end-to-end ML pipelines for training, deployment, and monitoring of models.

·       Design and optimize data architectures for large-scale ML workloads

·       Explore and implement LLM-based solutions, RAG architectures, and generative AI for business use cases.

Soft Skills:

·       Cross-functional collaboration with product and engineering teams

·       Technical mentoring for junior data engineers

·       Analytical thinking for complex data problems

·       Stakeholder communication for data requirements

·       Process improvement and efficiency focus

·       Quality mindset for data accuracy and reliability Vendor Management:

·       Direct communication with data platform vendors

·       Evaluates vendor tools for specific data use cases

·       Provides technical feedback on vendor product roadmaps

·       Coordinates with vendors for data integration projects

Qualifications:

·       Bachelor’s/Master’s in Computer Science, Data Engineering, Statistics, or related field.

·       5+ years in data engineering; 2+ years applying ML in production.

+Benefits

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