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Remote Databricks Data Engineer Jobs in Florida (NOW HIRING)

Data Engineer

Miami, FL · Remote

$135K - $155K/yr

Our teams work with technologies like Databricks, Snowflake, dbt, and the broader Microsoft ... Flexible remote work environment with a collaborative, high-talent team Salary: $135,000 - $155,000 ...

Sr Data Engineer

Plantation, FL · Remote

$109K - $131K/yr

... preferably Databricks/Snowflake/Azure Synapse required. • Experience in DevOps activities ... TYPICAL WORKING CONDITIONS • Full time remote/telework OTHER PHYSICAL REQUIREMENTS • Vision • ...

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 ... Databricks. * Robust knowledge of cloud storage aspects (ADLS gen2) * Expertise in cloud security ...

Manager Data Engineering

Palm Beach Gardens, FL · On-site +1

$108K - $130K/yr

Remote work may also be considered in certain situations. What's in it for you? As a Data ... Databricks, PySpark, Spark SQL * Python and SQL development * Cloud platforms (Azure preferred, AWS ...

Data Engineer - Healthcare

Tampa, FL · Remote

$108K - $129K/yr

Position - Data Engineer (Python + React, Healthcare Domain) Location - Tampa/Remote Number of positions - 2 Overview We are seeking a Data Engineer with strong experience in Python and React to ...

Senior Data Engineer

Tallahassee, FL · Remote

$95K - $129K/yr

Remote Responsibilities * Design and Implement Snowflake-Native Data Architectures * Lead the ... Deep Understanding of Data Engineering Concepts * Extensive knowledge of data modeling, including ...

... engineering teams and modernizing technology & data platforms. Our delivery models are tailored to ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

... engineering teams and modernizing technology & data platforms. Our delivery models are tailored to ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

... engineering teams and modernizing technology & data platforms. Our delivery models are tailored to ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

... engineering teams and modernizing technology & data platforms. Our delivery models are tailored to ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

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Remote Databricks Data Engineer information

What are the key skills and qualifications needed to thrive as a Remote Databricks Data Engineer, and why are they important?

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What is a Remote Databricks Data Engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.

What are some common challenges faced by remote Databricks Data Engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.
What are the most commonly searched types of Databricks Data Engineer jobs in Florida? The most popular types of Databricks Data Engineer jobs in Florida are:
What are popular job titles related to Remote Databricks Data Engineer jobs in Florida? For Remote Databricks Data Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Databricks Data Engineer jobs in Florida look for? The top searched job categories for Remote Databricks Data Engineer jobs in Florida are:
What cities in Florida are hiring for Remote Databricks Data Engineer jobs? Cities in Florida with the most Remote Databricks Data Engineer job openings:
Infographic showing various Remote Databricks Data Engineer job openings in Florida as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Data Engineer

$135K - $155K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 20 days ago


Job description

Company Overview:

Blue Orange Digital is a boutique data & AI consultancy that delivers enterprise-grade results. We design and build modern data platforms, analytics, and ML/AI Agent solutions for mid‑market and enterprise clients across Private Equity, Financial Services, Healthcare, and Retail.

Our teams work with technologies like Databricks, Snowflake, dbt, and the broader Microsoft ecosystem to turn messy, real-world data into trustworthy, actionable insight.

We’re a builder‑led, client‑first culture that prizes ownership, clear communication, and shipping high‑impact work.

Position Overview:

This role is for an experienced, hands‑on practitioner capable of designing and implementing performant and scalable data solutions, and optimizing data flow.

Experience:

5+ years of industry experience as a hands‑on practitioner in Data Engineering.

Note: Please submit your resume in English, as all application materials must be in English for review and consideration.

Core Responsibilities:
  • Design, build, and deploy robust data platforms, including data lakehouses and warehouses, and automate their operation using tools like Azure DevOps, Terraform, and CloudFormation.

  • Implement and optimize advanced ETL/ELT data pipelines and orchestrate complex data jobs using platforms like Databricks notebooks and dbt.

  • Design and maintain data models, potentially utilizing data virtualization tools like Cube.

  • Leverage managed and serverless cloud offerings to create performant and scalable cloud‑native application solutions and data pipelines.

  • Apply best practices for data security and ensure compliance with governance requirements.

  • Build high‑performance data pipelines and integrate with BI tools like Tableau, Looker, and Power BI.

  • Provide leadership in applying software development best practices, including CI/CD and managing Infrastructure as Code.

Key Requirements:
  • Advanced proficiency in Python and SQL (TypeScript/JavaScript/Java a plus).

  • Proven experience with ETL/ELT implementation and data modeling for data warehouses/lakehouses.

  • Understanding and experience with the Medallion Architecture (Bronze, Silver, and Gold layers).

  • Experience with advanced DevOps, CI/CD, and strong Linux system administration skills.

  • Expertise in 2–3 major cloud and data platforms (e.g., Azure, AWS, GCP, Snowflake, Databricks, and Fabric).

Consulting & Communication:
  • Participate in customer engagement activities, clearly communicating technical concepts, design decisions, and project progress to stakeholders.

  • Effective communication and the ability to collaborate with both technical and non‑technical stakeholders.

What We Offer
  • Competitive base compensation with performance bonuses

  • Comprehensive health, dental, and vision benefits

  • 401(k) with company match

  • Work on diverse, high-impact engagements across industries

  • Direct access to leading-edge data and AI stacks (Snowflake, Databricks, AWS, GCP, Azure)

  • Builder culture where analysts lead engagements and ship work, not slides

  • Professional development budget and certification support

  • Flexible remote work environment with a collaborative, high-talent team

Salary: $135,000 – $155,000 USD yearly

Background checks may be required for certain positions/projects.

Blue Orange Digital is an equal‑opportunity employer.