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Trainee Databricks Data Engineer Jobs in Miami, FL

ReturnPro

Data Engineer

Aventura, FL

$109K - $131K/yr

... Databricks. · Excellent problem-solving, analytical, and communication skills. · Experience working in agile environments and collaborating with diverse teams.

ReturnPro

Data Engineer

Aventura, FL · On-site

$109K - $131K/yr

... Databricks. • Excellent problem-solving, analytical, and communication skills. • Experience working in agile environments and collaborating with diverse teams.

Deloitte

Senior Data Engineer

Miami, FL · Hybrid

$101K - $137K/yr

Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies ... As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate ...

Royal Caribbean Cruise Line

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

The Senior Data Engineer is responsible for delivering, managing, and operating scalable trusted ... Experience with GitHub Copilot and Databricks Assistant a plus * Experience building or operating ...

Base-2 Solutions, LLC

Data Lake Engineer

Miami, FL · On-site

$109K - $131K/yr

Work with Data Lakes platforms including Databricks, Kubernetes, and ESRI ArcGIS environments. * Build scalable, secure web applications with metadata-driven search and retrieval features.

Base-2 Solutions, LLC

Data Lake Engineer

Doral, FL · On-site

$105K - $127K/yr

Work with Data Lakes platforms including Databricks, Kubernetes, and ESRI ArcGIS environments. * Build scalable, secure web applications with metadata-driven search and retrieval features.

ARC Group

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

AZURE DATA ENGINEER (REMOTE) ARC Group has an immediate opportunity for an aspiring Azure / Cloud ... CosmosDB, Data Factory, Databricks. * Robust knowledge of cloud storage aspects (ADLS gen2)

Prescient Edge

Full-Stack Data Engineer

Doral, FL · On-site

Must be proficient in Data Lakes splat forms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud based data engineering. * Expertise in building scalable, secure web applications ...

Deloitte

Azure/Databricks Infrastructure Engineer

Miami, FL · On-site

$53.25 - $71.25/hr

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement ...

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All JobsDatabricks Data Engineer JobsTrainee Databricks Data Engineer JobsTrainee Databricks Data Engineer Jobs in Miami, FL

Trainee Databricks Data Engineer information

See Miami, FL salary details

$42.6K

$124.1K

$169.8K

How much do trainee databricks data engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for trainee databricks data engineer in Miami, FL is $124,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,500.00 and $131,500.00 per year, depending on experience, location, and employer.

What is the difference between Trainee Databricks Data Engineer vs Junior Data Engineer?

AspectTrainee Databricks Data EngineerJunior Data Engineer
Required CredentialsBasic knowledge of Databricks, SQL, and data fundamentalsDegree in Computer Science or related field, some experience with data tools
Work EnvironmentTraining programs, mentorship, entry-level projects on Databricks platformEntry-level to mid-level data teams, real-world data projects
Employer & Industry UsageTech companies, data consulting firms, startups focusing on cloud data platformsVariety of industries including finance, healthcare, retail, with data teams

The Trainee Databricks Data Engineer is an entry-level role focused on learning Databricks and data engineering fundamentals, often within training programs. In contrast, a Junior Data Engineer typically has some hands-on experience and works on real data projects. Both roles are common in tech-driven industries, but the trainee position emphasizes skill development, while the junior role involves more independent work.

What are the most commonly searched types of Databricks Data Engineer jobs in Miami, FL? The most popular types of Databricks Data Engineer jobs in Miami, FL are:
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What cities near Miami, FL are hiring for Trainee Databricks Data Engineer jobs? Cities near Miami, FL with the most Trainee Databricks Data Engineer job openings:
Trainee Databricks Data Engineer jobs near you

Data Engineer

ReturnPro

Aventura, FL

$109K - $131K/yr

Full-time

Re-posted 2 days ago

Job description

We are seeking an experienced Data Engineer to lead the design, development, and optimization of end-to-end data pipelines and cloud-based solutions. You will be responsible for architecting scalable data and analytic systems, ensuring data integrity, and implementing software engineering best practices and patterns. The ideal candidate has a strong background in ETL, big data technologies, and cloud services, with a proven ability to drive complex projects from concept to production.

Primary Responsibilities/Essential Functions

This job description in no way states or implies that these are the only duties to be performed by the teammate occupying this position. The selected candidate may perform other related duties assigned to meet the ongoing needs of the business.

Key Responsibilities

Data Architecture and Engineering

· Design and implement scalable data pipelines for data ingestion, transformation, and storage.

· Architect and optimize data lakes and data warehouses to support analytics and reporting needs.

· Develop robust ETL processes to integrate structured and unstructured data from diverse sources.

· Ensure high data quality through cleaning, validation, and transformation techniques.

Cloud and Big Data Solutions

· Lead the implementation of big data frameworks such as Hadoop and Spark for processing large datasets.

· Develop and optimize solutions on cloud platforms, including AWS S3, Azure Data Lake, Google BigQuery, and Snowflake.

· Manage data lakes to facilitate efficient data access and processing for downstream applications.

Database and Data Warehousing

· Design, implement, and manage relational (SQL) and non-relational (NoSQL) database systems.

· Lead database architecture efforts, including schema design, query optimization, and performance tuning.

· Oversee the design and management of data warehouses, ensuring reliability, scalability, and security.

Software Development and Automation

· Utilize Python and SQL to develop efficient, production-ready code for data pipelines and integrations.

· Implement scripting automation using Bash and PowerShell to streamline workflows.

· Leverage version control (Git) and follow best practices in code optimization, unit testing, and debugging.

Collaboration and Leadership

· Act as a technical leader, providing guidance on best practices.

· Collaborate with cross-functional teams (Data Scientists, Software Engineers, Analysts) to meet business objectives.

· Drive innovation by evaluating and integrating emerging tools, technologies, and frameworks.

· Establish and maintain CI/CD pipelines to ensure efficient deployment and system reliability.

Required:

· Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.

· 5+ years of experience as a Data Engineer with expertise in building large-scale data solutions.

· Proficiency in Python, SQL, and scripting languages (Bash, PowerShell).

· Deep understanding of big data tools (Hadoop, Spark) and ETL processes.

· Hands-on experience with cloud platforms (AWS S3, Azure Data Lake, Google BigQuery, Snowflake).

· Strong knowledge of database systems (SQL, NoSQL), database design, and query optimization.

· Experience designing and managing data warehouses for performance and scalability.

· Proficiency in software engineering practices: version control (Git), CI/CD pipelines, and unit testing.

Preferred

· Strong experience in software architecture, design patterns, and code optimization.

· Expertise in Python-based pipelines and ETL frameworks.

· Experience with Azure Data Services and Databricks.

· Excellent problem-solving, analytical, and communication skills.

· Experience working in agile environments and collaborating with diverse teams.

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