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Databricks Jobs in Miami, FL (NOW HIRING)

Data Engineer

Miami, FL

$120K - $180K/yr

Design, build, and maintain end-to-end data pipelines using Databricks (SparkSQL, PySpark) for data ingestion, transformation, and processing. * Integrate data from various structured and ...

Lead Cloud Architect

Fort Lauderdale, FL · On-site +1

$62.25 - $79/hr

Architect, design, and implement advanced data products leveraging Azure Databricks, PySpark, and Apache Spark for large-scale data processing and machine learning opportunities. * Develop secure ...

New

Lead Cloud Architect

Fort Lauderdale, FL · On-site +1

$62.25 - $79/hr

Architect, design, and implement advanced data products leveraging Azure Databricks, PySpark, and Apache Spark for large-scale data processing and machine learning opportunities. * Develop secure ...

New

Lead Cloud Architect

Fort Lauderdale, FL · On-site +1

$62.25 - $79/hr

Architect, design, and implement advanced data products leveraging Azure Databricks, PySpark, and Apache Spark for large-scale data processing and machine learning opportunities. * Develop secure ...

New

Senior Applied AI Engineer

Fort Lauderdale, FL · On-site +1

$99K - $137K/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 ...

Senior Applied AI Engineer

Fort Lauderdale, FL · On-site +1

$99K - $137K/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 ...

Senior Applied AI Engineer

Fort Lauderdale, FL · On-site +1

$99K - $137K/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 ...

AWS Architect

Fort Lauderdale, FL · On-site

$61.75 - $81/hr

Deploy Databricks on AWS in a regulated setup, covering VPC, Unity Catalog, and governance. * Define how the data platform interacts with other data services securely. Reliability, cost, and ...

New

Data Engineer

Miami, FL · On-site

$120K - $180K/yr

Design, build, and maintain end-to-end data pipelines using Databricks (SparkSQL, PySpark) for data ingestion, transformation, and processing. * Integrate data from various structured and ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

... Databricks environment This person will be part of a new Data COE build being at the forefront of data technology Thanks & Regards Pavankumar Yalla Sr. US IT Recruiter Desk: 380-388-3661, EXT:819 ...

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Showing results 1-20

Databricks information

See Miami, FL salary details

$22.5K

$36.1K

$48.8K

How much do databricks jobs pay per year?

As of Jul 19, 2026, the average yearly pay for databricks in Miami, FL is $36,071.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,000.00 and $39,700.00 per year, depending on experience, location, and employer.

What is a Databricks job?

A Databricks job is a way to run an automated workload, such as a data pipeline, machine learning model training, or ETL task, on the Databricks platform. Jobs can be scheduled, triggered manually, or run as part of a workflow. They support different task types, including notebooks, Python scripts, JARs, and SQL queries. Databricks jobs also allow for dependency management and orchestration across multiple tasks within a workflow.

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

To thrive in a Databricks role, you need strong programming skills in languages such as Python or Scala, a deep understanding of data engineering or data science principles, and typically a relevant degree in computer science or a related field. Experience with Apache Spark, cloud platforms like Azure or AWS, and Databricks-specific certifications are often highly valued. Exceptional problem-solving, communication, and collaboration skills help professionals excel within multidisciplinary data teams. These capabilities are crucial for successfully designing, developing, and optimizing large-scale data solutions in a fast-evolving analytics environment.

What are the typical daily responsibilities of someone working in a Databricks role?

Professionals in Databricks roles typically spend their days developing and maintaining data pipelines, analyzing large datasets, and collaborating with business stakeholders to translate requirements into scalable solutions. They often use tools such as Apache Spark and cloud platforms to design and optimize workflows, while troubleshooting data quality or performance issues that arise. Regular teamwork with data engineers, analysts, and software developers is common, as is participating in sprint planning or code review sessions. Overall, the role combines hands-on technical work with ongoing collaboration to ensure data-driven insights and infrastructure reliability.

What are the most commonly searched types of Databricks jobs in Miami, FL? The most popular types of Databricks jobs in Miami, FL are:
What are popular job titles related to Databricks jobs in Miami, FL? For Databricks jobs in Miami, FL, the most frequently searched job titles are:
What cities near Miami, FL are hiring for Databricks jobs? Cities near Miami, FL with the most Databricks job openings:
Infographic showing various Databricks job openings in Miami, FL as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, 1% Temporary, and 3% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $36,071 per year, or $17.3 per hour.

$120K - $180K/yr

Other

Re-posted 12 days ago


Job description

We are seeking a Data Engineer to join our dynamic team. The ideal candidate is an enthusiastic problem-solver who excels at building scalable data systems and has hands-on experience with Databricks, Looker, AWS, MongoDB, PostgreSQL, and Terraform. You will work alongside sales, customer success and engineering to design, implement, and maintain the operational data infrastructure that powers our analytics and platform offerings.

What you'll do:

  1. Data Pipeline & Integration
    • Design, build, and maintain end-to-end data pipelines using Databricks (SparkSQL, PySpark) for data ingestion, transformation, and processing.
    • Integrate data from various structured and unstructured sources, including medical imaging systems, EMRs, Change-Data-Capture from SQL Databases, and external APIs.
  2. Analytics & Visualization
    • Collaborate with the analytics team to create, optimize, and maintain dashboards in Looker.
    • Implement best practices in data modeling and visualization for operational efficiency.
  3. Cloud Infrastructure
    • Deploy and manage cloud-based solutions on AWS (e.g., S3, EMR, Lambda, EC2) to ensure scalability, availability, and cost-efficiency using IaC tooling (Terraform and Databricks Asset Bundles).
    • Develop and maintain CI/CD pipelines for data-related services and applications.
  4. Database Management
    • Oversee MongoDB and PostgreSQL databases, including schema design, indexing, and performance tuning.
    • Ensure data integrity, availability, and optimized querying for both transactional and analytical workloads.
  5. Security & Compliance
    • Adhere to healthcare compliance requirements (e.g., HIPAA) and best practices for data privacy and security.
    • Implement error handling, logging, and monitoring frameworks to ensure reliability and transparency.
    • Implement data governance frameworks to maintain data integrity and confidentiality.
  6. Collaboration & Documentation
    • Work cross-functionally with data scientists, product managers, and other engineering teams to gather requirements and define data workflows.
    • Document data pipelines, system architecture, and processes for internal and external stakeholders.

About you:

  • Education & Experience
    • 7+ years of professional experience in data engineering or a similar role.
    • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Technical Skills
    • Databricks (Spark): Proven expertise in building large-scale data pipelines.
    • Looker: Experience in creating dashboards, data models, and self-service analytics solutions.
    • AWS: Proficient with core services like S3, EMR, Lambda, IAM, EC2, etc.
    • MongoDB & PostgreSQL: Demonstrated ability to design schemas, optimize queries, and manage high-volume databases.
    • SQL & Scripting: Strong SQL skills, plus familiarity with Python, Scala, or Java for data-related tasks.
  • Soft Skills
    • Excellent communication and team collaboration abilities.
    • Strong problem-solving aptitude and analytical thinking.
    • Detail-oriented, with a focus on delivering reliable, high-quality solutions.
  • Preferred
    • Experience in healthcare or imaging (e.g., DICOM, HL7/FHIR).
    • Familiarity with DevOps tools (Docker, Kubernetes, Terraform) and CI/CD pipelines.
    • Knowledge of machine learning workflows and MLOps practices.

The base salary range for this position is $120,000 - $180,000.  Our job postings cover multiple career levels and individual compensation will depend on various factors, including qualifications, skills, experience, location, and applicable laws. In addition to base salary, this role is eligible to participate in our equity incentive and competitive benefits plans.