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Databricks Data Engineer Jobs in Boca Raton, FL (NOW HIRING)

Vertical Bridge

BI Developer

Delray Beach, FL · On-site

The BI Developer role goes beyond building dashboards. It is responsible for transforming how ... data. They will build, design and deliver analytics solutions across the Power BI and Databricks AI ...

ClinDCast LLC

Lead Data Architect

Delray Beach, FL · Remote

$65 - $70/hr

Candidates must have expertise in Azure (VMs, Databricks, Kubernetes), cloud platforms (AWS/GCP ... Experience with CI/CD, DevOps, and healthcare interoperability (FHIR, HL7) is preferred.

Deloitte

Lead Agentic Delivery Engineer

Boca Raton, FL · On-site

Experience using at least one or more modern data engineering tools, such as Databricks, Snowflake, BigQuery, dbt, Airflow, or comparable platforms * Experience applying at least two MLOps practices ...

RELX

Business Consultant Specialist

Boca Raton, FL

... using Databricks, Elastic AI, Kibana, PowerBI, and related tools. * Create data profiles and ... Requirements: Data Engineering & Analysis Foundation * Advanced SQL (required) with hands-on ...

Blue Compass RV

Director of Email

Fort Lauderdale, FL · On-site

Work with customer data platforms and data pipelines (e.g., Databricks, RudderStack) to ensure data ... Partner with IT and data engineering teams to support integrations, data flows, and system ...

Deloitte

Agentic Delivery Senior Engineer

Boca Raton, FL · On-site

$99.20K - $136.20K/yr

Experience using one or more modern engineering or data platforms such as Databricks, Snowflake, Airflow, dbt, Kubernetes, or comparable tools * Experience applying at least two MLOps or AI delivery ...

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Databricks Data Engineer information

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$42.1K

$122.8K

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How much do databricks data engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for databricks data engineer in Boca Raton, FL is $122,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,400.00 and $130,100.00 per year, depending on experience, location, and employer.

What is a Databricks Data Engineer job?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

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

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

What does a typical day look like for a Databricks Data Engineer?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.
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Databricks Data Engineer jobs near you
BI Developer

BI Developer

Vertical Bridge

Delray Beach, FL • On-site

Full-time

Posted 4 days ago

Job description

Vertical Bridge REIT, LLC, is the largest private owner and operator of wireless communications infrastructure in the United States and has a nationwide portfolio of over 18,000 towers. The company provides build-to-suit and colocation solutions to the telecommunications industry. In 2020, Vertical Bridge became the first tower company in the world to achieve the CarbonNeutral® company certified status and has been recertified every year since.
Summary:
The BI Developer role goes beyond building dashboards. It is responsible for transforming how Vertical Bridge consumes, understands, and acts on data. They will build, design and deliver analytics solutions across the Power BI and Databricks AI/BI platforms. These solutions will drive strategic decisions, enable self-service intelligence, and shift the organization from reactive reporting to proactive insight. The ideal candidate serves as both a business translator and technical architect. This role requires strong foundations in data modeling, DAX, M Query, and semantic layer design, as well as hands-on experience with Databricks AI/BI Dashboards, Genie-powered conversational analytics, and self-service enablement. You will partner closely with data engineers to build a governed, enterprise-wide data model (one version of truth) that allows all users to read from the same data playbook.
Job Functions:
  • Design and present data narratives that drive decision-making as well as build dashboards and reports that tell a clear story with a defined call to action
  • Engage directly with operations, finance, leasing, and executive stakeholders to identify the right metrics and proactively retires or replaces solutions that are no longer answering the right question
  • Design and maintain a governed, enterprise-wide semantic layer - a single source of truth that serves both Power BI reports and Genie conversational queries consistently
  • Partner with data engineers to align Delta table structures, aggregations, and business logic to support scalable self-service analytics
  • Provide technical guidance and support to the data teams, making architectural decisions, resolving technical challenges, and ensuring adherence to best practices and standards across both Power BI and Databricks AI/BI
  • Demonstrate the ability to analyze complex situations, identify issues, and propose effective solutions to meet and exceed business requirements
  • Apply statistical thinking and exploratory analysis techniques using Python, and SQL in Databricks notebooks. Identifies trends, anomalies, and correlations that traditional dashboards would not surface
  • Implements strong quality assurance processes to maintain high standards of software quality, reliability, and performance upon delivery by the team.

These job functions are representative of tasks accomplished by incumbents. The list is not exhaustive; incumbents perform other job-related tasks.
Supervisory Responsibilities:
None
Working Conditions and Physical Demands:
Position will work directly from the corporate office with minimum travel.
Education and Experience:
  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
  • 5+ years of experience in business analytics and BI development, with a demonstrated ability to translate business problems into analytical solutions.
  • Demonstrated experience with Power BI (M Query, DAX, Data Modelling, and Row-Level Security (RLS)), Microsoft Copilot and/or Databricks AI/BI Dashboards, and Genie for conversational analytics (Certifications a plus)
  • Proven experience designing and maintaining a governed semantic layer or enterprise metrics framework.
  • Experience driving self-service analytics adoption, including training and change management with business stakeholders.
  • Proficiency in SQL and working knowledge of Python for exploratory analysis and statistical insight.
  • Experience with Power BI Service administration, including workspace governance, deployment pipelines, and capacity management.
  • Strong analytical and problem-solving skills with demonstrable statistical thinking ability.
  • Excellent communication and storytelling abilities - able to present data narratives clearly to all levels of the organization.
  • Experience with Azure cloud services, particularly Azure Databricks and related components.
  • Knowledge of data integration and ETL processes using Apache Spark.

Vertical Bridge is committed to a policy of equal employment and will not discriminate against an applicant or employee. Vertical Bridge is an Equal Employment Opportunity Employer M/F/D/V

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