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Databricks Engineer Jobs in Miami, FL (NOW HIRING)

Data Lake Engineer

Doral, FL

$105K - $127K/yr

SOSi is seeking a Data Lake Engineer to support mission requirements for a structured approach to ... Hands-on expertise in Python, SQL/NoSQL, Apache Spark, Databricks SQL, Terraform, and cloud-native ...

Data Lake Engineer

Doral, FL

$105K - $127K/yr

SOSi is seeking a Data Lake Engineer to support mission requirements for a structured approach to ... Hands-on expertise in Python, SQL/NoSQL, Apache Spark, Databricks SQL, Terraform, and cloud-native ...

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 ...

Azure Data Architect

Miami, FL · On-site

$60.75 - $79.25/hr

Must-have qualifications 12+ years of experience in data engineering, data architecture, or platform engineering. Strong hands-on experience with Azure Databricks, Spark, Python/Scala, SQL, and Delta ...

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 ...

Senior Data Engineer

Miami, FL · Remote

$145K - $175K/yr

Our teams work with technologies like Databricks, Snowflake, dbt, and the broader Microsoft ... Experience: 7+ years of industry experience as a hands‑on practitioner in Data Engineering, with ...

ETL Developer | 10+ Years

Miami, FL · On-site

$48.75 - $63.75/hr

MDAEdge is seeking a skilled ETL Developer with 9 to 12 years of experience in SSIS and Databricks to design, develop, and optimize robust data integration solutions. The role involves building ...

Data Lake Engineer

Doral, FL · On-site +1

$99K - $225K/yr

Share Data Lake Engineer The Opportunity: For an organization to transform in today's digital world ... Experience in Databricks platform administration, including workspace configuration, Unity Catalog ...

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 ...

Data Lake Engineer with Security Clearance

Miami, FL · On-site

$109K - $131K/yr

SOSi is seeking a Data Lake Engineer to support mission requirements for a structured approach to ... Hands-on expertise in Python, SQL/NoSQL, Apache Spark, Databricks SQL, Terraform, and cloud-native ...

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Databricks Unified Data Analytics Platform for advanced data analytics and visualization ...

Data Analytics Engineer

Miami, FL · On-site

$109K - $131K/yr

Recommend data architecture and engineering structures necessary to support reports * Develop new ... Experience working with databases, including Oracle, Databricks, or SQL Server * Strong ...

Engineer, Platform

Miami, FL · On-site

$50.25 - $69/hr

... Databricks or similar data engineering environments • Working knowledge of SQL for data validation, auditing, or reporting • Experience operating within enterprise data platforms or Center of ...

Personnel must be proficient in Data Lakes splatforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based data engineering. * Expertise in building scalable, secure web ...

Showing results 41-60

Databricks Engineer information

See Miami, FL salary details

$56.9K

$106.8K

$194.2K

How much do databricks engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for databricks engineer in Miami, FL is $106,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,000.00 and $126,700.00 per year, depending on experience, location, and employer.

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 architecture can earn higher compensation, often exceeding $160,000 per year.

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?

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.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments, and their roles are often available across various industries seeking data-driven solutions.
What are popular job titles related to Databricks Engineer jobs in Miami, FL? For Databricks Engineer jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Miami, FL look for? The top searched job categories for Databricks Engineer jobs in Miami, FL are:
What cities near Miami, FL are hiring for Databricks Engineer jobs? Cities near Miami, FL with the most Databricks Engineer job openings:
Infographic showing various Databricks Engineer job openings in Miami, FL as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $106,769 per year, or $51.3 per hour.

Data Lake Engineer

SOSi

Doral, FL

$105K - $127K/yr

Full-time

Re-posted 23 days ago


Job description

Company Description

Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.

Job Description

SOSi is seeking a Data Lake Engineer to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.

Essential Job Duties:

  • The contractor shall design, implement, and maintain scalable Data Lake architectures to support structured and unstructured data ingestion, ensuring efficient data access and retrieval.
  • The contractor shall configure and manage the integration interface between the Data Lake and the knowledge graph platform (Stardog), including SPARQL endpoint access, metadata federation, and catalog alignment.
  • The contractor shall follow access control policies and usage scope defined by the Government and other coordinated Work Orders.
  • The contractor shall confirm compliance with access policies on a quarterly basis and document the results in the Data Governance & Compliance Report.
  • The contractor shall optimize ETL pipelines for high-volume data transformation, ensuring compliance with DoD IL-4/IL-5 security standards.
  • The contractor shall implement storage tiering strategies and access controls, ensuring data is properly classified, retained, and accessed per DoD governance requirements.
  • The contractor shall submit the Data Lake Performance & Optimization Report, detailing ingestion efficiency, access control improvements, and storage utilization metrics.
Qualifications
  • Active TS/SCI Clearance.
  • Master’s degree or higher (e.g., Ph.D.) in Computer Science, Information Technology, Systems Engineering, Data Science, Business Administration, Engineering Management, or a closely related field, or 
    • a minimum of eleven (11) years of experience managing complex technical projects in enterprise data architecture, Databricks administration, and cloud-based data platforms.
  • Knowledge and capability to support Data Lake platform administration and enterprise data architecture for DoD data-driven projects.
  • Skilled in Data Lake platform administration, including workspace management and configuration, cluster optimization and performance tuning, cloud integration, and Unity Catalog integration for secure data governance.
  • Proficient in ETL/ELT pipeline development, Delta Lake architecture and optimization, AI/ML workflow integration, and Data Lakehouse optimization for DoD analytics and mission-critical data workflows.
  • Experienced in SysEngOps, DevSecOps, version control systems (Git), and CI/CD pipelines to streamline Data Lake development and deployment.
  • Knowledgeable in identity and access management (IAM), role-based access control (RBAC), and cloud security best practices across AWS, Azure, and GCP.
  • Hands-on expertise in Python, SQL/NoSQL, Apache Spark, Databricks SQL, Terraform, and cloud-native data services for large-scale data processing and analytics.

Additional Information

Work Environment

  • Normal office conditions

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.