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Databricks Developer Jobs in Tampa, FL (NOW HIRING)

Bakertilly

Associate Data Engineer

Tampa, FL

$85K - $162K/yr

... Databricks, Delta Lake, or comparable lakehouse technologies preferred - Exposure to DevOps (YAML pipelines, Terraform/Bicep) and test automation frameworks preferred - Experience integrating SaaS/ER ...

SmartIPlace

SIEM/SOAR Engineer[Onsite]

Tampa, FL · On-site

SIEM/SOAR Security Engineer Visa: USC, GC, GC-EAD, H4-EAD Interview: Video Mode: Onsite Work ... Databricks, etc. Experience with scripting is highly preferred like Python, Ansible etc. Working ...

Fintech

Data Governance Lead

Tampa, FL · On-site

... engineering and analytics teams to implement metadata management practices Support documentation and visibility of data lineage across modern data platforms (Databricks, Kafka, cloud databases ...

PODS Enterprises, LLC

Data Scientist III

Clearwater, FL · On-site

$120 - $190/hr

Formulate and solve optimization problems (linear, quadratic, and mixed-integer programming) for ... Scale analytical work with distributed compute (PySpark/Databricks or equivalent) and performance ...

Fintech

Data Governance Lead

Tampa, FL · On-site

... engineering and analytics teams to implement metadata management practices Support documentation and visibility of data lineage across modern data platforms (Databricks, Kafka, cloud databases ...

Zaden Technologies, Inc.

Data Engineer

Tampa, FL · On-site

$112K - $135K/yr

Zaden Technologies is hiring Data Engineers to support a defense logistics analytics program. This ... Databricks experience * Experience integrating enterprise DoD logistics and data systems * IL4/IL5 ...

New

Pwc

Data Engineer - Manager

Tampa, FL · On-site

... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or Databricks - Improving Cloud resources for cost, performance, and scalability - Proficiency in SQL and ...

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Databricks Developer information

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$58

$75

How much do databricks developer jobs pay per hour?

As of Aug 8, 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.

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.

What do you need to be a Databricks developer?

To become a Databricks developer, you typically need proficiency in Apache Spark, programming skills in languages like Python, Scala, or SQL, and experience with cloud platforms such as AWS or Azure. Knowledge of data engineering, ETL processes, and familiarity with Databricks' environment and tools are also important, along with relevant certifications or training.

What is a Databricks developer?

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 is the salary of a Databricks developer?

The salary of a Databricks developer typically ranges from $90,000 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.

Is a Databricks developer an in demand skill?

Yes, Databricks developers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. Skills in Apache Spark, SQL, and cloud environments like AWS or Azure enhance employability in this role, which is often required in data-driven industries.
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Databricks Developer jobs near you
Infographic showing various Databricks Developer job openings in Tampa, FL as of August 2026, with employment types broken down into 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $120,872 per year, or $58.1 per hour.

Data Scientist (AI/ML Engineer)

Apex Informatics

Tampa, FL • On-site

Contractor

Re-posted 23 days ago

Job description

Data Scientist (AI/ML Engineer)
Required Skills:
• 5+ years of experience in Python using common data science libraries such as scikit-learn and Databricks
• 3+ years of experience applying NLP (transformers, gpt, etc) in a production setting using large amounts of data
• 2-3 years of experience applying LLMs (RAG, vector db, embeddings) to solve real world problems
• Experience applying data science techniques in a commercial enterprise, including supervised, unsupervised learning, NLP, time-series forecasting and other statistical analyses
• Experience building APIs for the models
• Strong written & verbal communication skills; including the ability to present detailed analyses to a broad audience
• Organized self-starter, with drive and commitment; able to work with little supervision
• Strong analytical, quantitative, problem-solving, and critical thinking skills
• Nice-to-Have:
• Experience using vision and speech models in GenAI
• Experience with Voice based BOT implementation.

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