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Databricks Engineer Jobs in Lithia, FL (NOW HIRING)

Data Engineer - CENTCOM

Tampa, FL · Hybrid

$108K - $129K/yr

Data Engineer - CENTCOM Location: Tampa, FL Clearance Level: Top Secret, Must Have Clearance to ... Familiarity with cloud-based data platforms such as Databricks, Palantir, or AWS-native data ...

Position Summary The IAM Engineer supports mission-critical objectives under the referenced work ... Databricks Platform Architect (Preferred, Not Required) * AWS Cloud Practitioner (Preferred, Not ...

Experience with AI tools, such as MS Azure ML, Snowflake, Databricks, CortexAI, Dataiku. * Deep ... Proficiency in programming languages such as Python, R, or Java. * Experience with containerization ...

New

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

.Net Azure Developer

Tampa, FL · Remote

$56.25 - $69.75/hr

Job title: .Net Azure Developer Duration - 6 Months Location - FL remote Key Responsibilities ... Design, build, and optimize data pipelines using Azure Databricks, with strong use of PySpark and ...

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 ...

Data Scientist

Tampa, FL · On-site

$130K - $140K/yr

Lead end-to-end sales forecasting model development -- from data sourcing and feature engineering through model training, validation, and productionisation on Databricks (Azure) * Design and maintain ...

Data Engineer - Manager

Tampa, FL · On-site

$99K - $232K/yr

... Data Engineer - Manager, you will play a pivotal role in transforming raw data into actionable ... Databricks and Snowflake - Guiding team members in data architecture development and database ...

Lead end-to-end sales forecasting model development - from data sourcing and feature engineering through model training, validation, and productionisation on Databricks (Azure) * Design and maintain ...

... Engineering, Data Science, or a closely related field; or * A minimum of eleven (11) years of professional experience in enterprise data architecture, Databricks administration, and cloud-based data ...

As a Senior Consultant - Associate Data Engineer you will design, build, and optimize modern data ... and Databricks; implement bestpractice patterns for performance, security, and cost control.

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Databricks Engineer information

See Lithia, FL salary details

$52K

$97.6K

$177.5K

How much do databricks engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for databricks engineer in Lithia, FL is $97,600.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,400.00 and $115,800.00 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 Lithia, FL? For Databricks Engineer jobs in Lithia, FL, the most frequently searched job titles are:
What cities near Lithia, FL are hiring for Databricks Engineer jobs? Cities near Lithia, FL with the most Databricks Engineer job openings:
Full-Stack Data Engineer

Full-Stack Data Engineer

Quiet Professionals LLC

Tampa, FL • On-site

Full-time

Posted 12 days ago


Job description

Position Summary

The Full-Stack Data Engineer supports mission-critical objectives under the referenced work order by developing, maintaining, and optimizing data integration pipelines, API services, and front-end interfaces for accessing and visualizing geospatial and structured data. This role implements RESTful and GraphQL APIs for seamless data retrieval and integration between Data Lake, ESRI ArcGIS, and external sources.

This future opportunity is contingent upon award.

Job Description

  • The Full-Stack Data Engineer is responsible for developing and deploying full-stack applications enabling data visualization, dashboarding, and analytics within ESRI-based GIS platforms.
  • The position requires implementing RESTful and GraphQL APIs for seamless data retrieval and integration between Data Lake, ESRI ArcGIS, and external sources.
  • Engineers will manage CI/CD pipelines, containerized deployments in Kubernetes, and API authentication mechanisms.
  • The role includes optimizing database queries and indexing strategies for large-scale geospatial and structured datasets.

Required Qualifications and Experience

The contractor shall provide personnel who meet one of the following requirements:

  • Bachelor's degree in Computer Science, Data Engineering, or a related field; or
  • A minimum of five (5) years of professional experience in full-stack development and data engineering.

Candidates must have demonstrated experience in the following areas:

  • Developing interactive web-based data portals.
  • Implementing API-driven data exchange.
  • Integrating geospatial data layers into web applications.
  • Working with Databricks, ESRI ArcGIS Feature Services, OpenLineage, and metadata management solutions.
  • Managing CI/CD pipelines and containerized deployments in Kubernetes.

Required Skills and Competencies

  • Expertise in Python, JavaScript (React, Angular, Vue), SQL, and RESTful API design.
  • Working knowledge of Databricks, ESRI ArcGIS Feature Services, and OpenLineage.
  • Proficiency in full-stack development, database architecture, and API integration.
  • Strong software development skills in cloud environments such as AWS, Azure, or Google Cloud.
  • Ability to implement scalable data-driven applications and optimize database queries.

Education

  • Bachelor's degree in a relevant field, or an equivalent combination of education and experience.
  • Microsoft Certified: Azure Data Engineer Associate (Preferred, Not Required)
  • AWS Certified Data Analytics – Specialty (Preferred, Not Required)
  • ESRI Web GIS Developer Certification (Preferred, Not Required)

Clearance Requirement

  • An active TS/SCI security clearance is required for on-site duty location.