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Remote Databricks Developer Jobs in Homestead, FL

Data Engineer

Miami, FL · Remote

$135K - $155K/yr

Our teams work with technologies like Databricks, Snowflake, dbt, and the broader Microsoft ... Experience with advanced DevOps, CI/CD, and strong Linux system administration skills. * Expertise ...

Senior Data Engineer

Miami, FL · Remote

$145K - $175K/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: $145,000 - $175,000 ...

Head of Data (Remote)

Miami, FL · Remote

$15K - $18K/yr

You will run a multi-disciplinary department across data engineering, business intelligence, data ... Comprehensive technical fluency in cloud platforms (AWS, GCP, Snowflake, or Databricks), ETL/ELT ...

New

Data Platform Engineer

Miami, FL · On-site +1

$109K - $131K/yr

... BigQuery, Databricks) * Familiarity with DevOps practices: CI/CD, containerization (Docker ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Data Platform Engineer

Miami, FL · Remote

$117K - $140K/yr

... BigQuery, Databricks) * Familiarity with DevOps practices: CI/CD, containerization (Docker ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Lead Product Manager

Miami, FL · Remote

$150K - $200K/yr

Partner closely with engineering, underwriting, operations, and analytics teams throughout ... Comfort with analytics tools such as PowerBI, Tableau, Amplitude, Sigma, Looker, or Databricks; SQL ...

Head of Data

Miami, FL · Remote

$15K - $18K/mo

You will run a multi-disciplinary department across data engineering, business intelligence, data ... REMOTE-FIRST & ASYNCHRONOUS * Async-First : We prioritize output over "hours in a seat." * EST ...

New

Remote Databricks Developer information

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

To thrive as a Remote Databricks Developer, you need strong expertise in data engineering, programming languages like Python or Scala, and experience with big data frameworks, typically supported by a degree in computer science or a related field. Proficiency with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Associate Developer are commonly required. Strong problem-solving, communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These skills and qualities ensure efficient development, scalable data solutions, and effective teamwork in distributed environments.

What is the difference between Remote Databricks Developer vs Data Engineer?

AspectRemote Databricks DeveloperData Engineer
Required SkillsProficiency in Databricks, Spark, Python, SQLProficiency in data pipelines, ETL, cloud platforms, SQL
Work EnvironmentCollaborates on data projects using Databricks platformBuilds and maintains data infrastructure across cloud environments
CertificationsDatabricks certifications often preferredCloud certifications (AWS, Azure), data engineering certifications

While both roles involve working with data and cloud platforms, a Remote Databricks Developer specializes in developing solutions within the Databricks environment, focusing on Spark and data analytics. A Data Engineer has a broader scope, designing and maintaining data pipelines and infrastructure across various platforms. The roles overlap in skills like SQL and cloud knowledge, but their primary focus and tools differ.

How does a Remote Databricks Developer typically collaborate with cross-functional teams while working from different locations?

Remote Databricks Developers often work closely with data engineers, data scientists, and business analysts through virtual collaboration tools like Slack, Jira, and Zoom. Since team members may be distributed across various time zones, clear communication, regular stand-up meetings, and thorough documentation are essential for ensuring alignment on project goals and deadlines. Developers are also expected to participate in code reviews and shared knowledge sessions to maintain coding standards and support a collaborative environment. This structure helps ensure that complex data solutions are delivered efficiently and meet business requirements.

What is a Remote Databricks Developer?

A Remote Databricks Developer is a software professional who specializes in building, managing, and optimizing data pipelines and analytics workflows on the Databricks platform, while working from a remote location. They use Databricks, which is based on Apache Spark, to process large datasets, develop ETL processes, implement machine learning models, and collaborate with data teams. Their responsibilities often include writing code in languages like Python, Scala, or SQL, integrating with cloud services, and ensuring data quality and security. Working remotely, they communicate with teams online and use cloud-based tools to complete their tasks efficiently.
What are popular job titles related to Remote Databricks Developer jobs in Homestead, FL? For Remote Databricks Developer jobs in Homestead, FL, the most frequently searched job titles are:
What job categories do people searching Remote Databricks Developer jobs in Homestead, FL look for? The top searched job categories for Remote Databricks Developer jobs in Homestead, FL are:
What cities near Homestead, FL are hiring for Remote Databricks Developer jobs? Cities near Homestead, FL with the most Remote Databricks Developer job openings:
Infographic showing various Remote Databricks Developer job openings in Homestead, FL as of July 2026, with employment types broken down into 85% Full Time, 11% Part Time, and 4% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.
Data Engineer

$135K - $155K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 24 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.