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Databricks Engineer Jobs in Brandon, FL (NOW HIRING)

Lead Analytics Engineer

Tampa, FL · Remote

$80K - $115K/yr

... Databricks, Azure Data Lake, or comparable environments Minimum Education and Experience • ... data engineering, or a senior data analyst role with significant hands-on data modeling ...

Data Solutions Engineer

Saint Petersburg, FL · On-site +1

$91K - $156K/yr

... Databricks, Snowflake, and Informatica IDMC. Develop automation frameworks and CI/CD pipelines ... Mentor junior engineers, providing guidance on best practices and technologies. Evangelize ...

Role Overview The Director of Data Platform will lead a team of two data engineers and four BI ... Databricks, Domo, Tableau) and potentially real-time transactional databases (SQL Server ...

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Role Overview The Director of Data Platform will lead a team of two data engineers and four BI ... Databricks, Domo, Tableau) and potentially real-time transactional databases (SQL Server ...

Data Engineer

Tampa, FL · On-site

$104K - $125K/yr

Software Guidance & Assistance, Inc., (SGA), is searching for a Data Engineer/PySpark Developer for ... S3, ADLS, EMR, Databricks, Azure Synapse) preferred. * Master's degree preferred SGA is a ...

Role Overview The Director of Data Platform will lead a team of two data engineers and four BI ... Databricks, Domo, Tableau) and potentially real-time transactional databases (SQL Server ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

Senior Cloud Data Engineer

Tampa, FL · Remote

$100K - $136K/yr

... Databricks. * Hands-on experience with data services offered by cloud platforms. * Expertise in ... programming languages such as Python, Java, or Scala with strong SQL skills. * Experience with ETL ...

Senior Cloud Data Engineer

Tampa, FL · Remote

$108K - $147K/yr

... Databricks. * Hands-on experience with data services offered by cloud platforms. * Expertise in ... programming languages such as Python, Java, or Scala with strong SQL skills. * Experience with ETL ...

Data Platform Engineer

Tampa, FL · Remote

$117K - $140K/yr

Experience with modern data stack tools such as Spark/Flink, Kafka/Kinesis, Airflow/managed schedulers, and data warehouses (e.g., Snowflake, Redshift, BigQuery, Databricks) * Familiarity with DevOps ...

Data Platform Engineer

Tampa, FL · On-site +1

$108K - $129K/yr

Experience with modern data stack tools such as Spark/Flink, Kafka/Kinesis, Airflow/managed schedulers, and data warehouses (e.g., Snowflake, Redshift, BigQuery, Databricks) * Familiarity with DevOps ...

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Databricks Engineer information

See Brandon, FL salary details

$51.7K

$97K

$176.4K

How much do databricks engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for databricks engineer in Brandon, FL is $97,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,900.00 and $115,100.00 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 are popular job titles related to Databricks Engineer jobs in Brandon, FL? For Databricks Engineer jobs in Brandon, FL, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Brandon, FL look for? The top searched job categories for Databricks Engineer jobs in Brandon, FL are:
What cities near Brandon, FL are hiring for Databricks Engineer jobs? Cities near Brandon, FL with the most Databricks Engineer job openings:
Text and Speech Analyst

Text and Speech Analyst

Expert Technology Services

Tampa, FL • On-site

Contractor

Posted 20 days ago


Job description

Please Note: As of July 22, 2021, our team will require that all candidate submissions include a LinkedIn profile. Please do not submit any candidates that do not have a LinkedIn.

 

URGENT REQUIREMENT

 

Looking for candidates regarding the following:

POSITION

Text & Speech Analyst
INDUSTRY
 

LOCATION

REMOTE

 
Please Target Candidates in the following States :

Alabama Arizona Arkansas Colorado Connecticut Delaware Florida Georgia Idaho Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Mexico North Carolina North Dakota Ohio Oklahoma Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia West Virginia Wisconsin Wyoming

 

DURATION

6+ month
 

INTERVIEW TYPE

Video

VISA TYPE

NO SPONSORSHIP AVAILABLE

REQUIRED SKILLS

Must-Haves:
  • Strong experience with ASR / speech recognition (Wav2Vec, DeepSpeech) + classical speech processing (HMM, GMM, ANN, language modeling)
  • Advanced programming in Python (required) + experience with AI/ML frameworks (TensorFlow, PyTorch, Keras)
  • Hands-on deep learning for speech/NLP (CNNs, CTC, Transformer models like BERT/GPT)
  • Cloud experience deploying AI solutions (Azure preferred; AWS/GCP acceptable)
  • Solid NLP + data management experience (data preprocessing, augmentation, synthetic data, labeling)
Preferred:
  • Experience with Azure AI Services, Azure ML, or Databricks/Snowflake (AI capabilities)
  • Exposure to open-source speech models (Kaldi, Whisper)
  • MLOps experience (model deployment, monitoring, lifecycle management)
  • Knowledge of data governance, security, and compliance practices
  • Familiarity with data visualization/reporting tools (Power BI, Webfocus)
  •  

Required Skills : * Working knowledge of ASR engines using frameworks like Wav2vec or Deep Speech * Working knowledge of Azure AI Services * Advanced programming knowledge, including mastery of programming languages such as Python, C , Java, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras * Cloud computing and knowledge for deploying and managing AI applications on cloud platforms like AWS, Google Cloud, or Microsoft Azure * Expertise in classical speech processing methodologies like hidden Markov models (HMMs), Gaussian mixture models (GMMs), Artificial neural networks (ANNs), Language modeling, etc. * Functional knowledge of Snowflake and/or Databricks for AI capabilities and data management * Hands on experience on current deep learning (DL) techniques like Convolutional neural networks (CNNs), connectionist temporal classification (CTC) used for speech processing * Exposure to open-source models such as Kaldi or OpenAI Whisper * Data management knowledge, including data pre-processing, augmentation, and generation of synthetic data, including the cleaning, labeling, and augmenting of data to train and improve AI models * Proficiency in Transformer Models like BERT-base. ELMo, ULM-FIT * Experience with AI tools, such as MS Azure ML, Databricks AI, Snowflake CortexAI, Dataiku

Basic Qualification :

Additional Skills :

Background Check : No

Drug Screen : No


Rank :A3
Requested Date :2026-06-22