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Remote Databricks Developer Jobs (NOW HIRING)

CEI

Databricks Architect

Pittsburgh, PA · On-site +1

$62.75 - $82.50/hr

Pittsburgh, PA (Hybrid Preferred) | Remote Considered Type: Full-Time Overview: We are seeking a ... Mentor engineering teams and provide technical leadership. Requirements: * Active Databricks MVP ...

Delan Associates, Inc.

DATABRICKS ADMINISTRATOR

Remote Job Type: Long-Term Contract We are looking for an experienced Databricks Administrator to ... Collaborate with Data Engineering & Cloud teams Required Skills: • Hands-on Databricks ...

Noblesoft Technologies

Databricks Architect

Dallas, TX · Remote

$66.25 - $87/hr

Databricks Architect Location: Remote - Dallas, Texas Role/Responsibilities * Lead the data ... Subject Matter Expert (SME) level experience in Cloud Engineering, specifically with Databricks ...

campus4tech

Data Engineer - Databricks & Snowflake

$117K - $140K/yr

Remote Responsibilities: * Strong experience with Databricks and data infrastructure technologies ... Data Engineer will design, implement, and maintain data infrastructure solutions using Databricks ...

Guidehouse

Databricks Data Engineer

$113K - $188K/yr

While remote candidates will be considered, preference will be given to candidates located near a ... analysts, DevOps engineers, and client stakeholders. * Communicate technical concepts, delivery ...

Guidehouse

Databricks Data Engineer

$113K - $188K/yr

While remote candidates will be considered, preference will be given to candidates located near a ... analysts, DevOps engineers, and client stakeholders. * Communicate technical concepts, delivery ...

CEI

Databricks Architect

Pittsburgh, PA · On-site +1

Hybrid in Pittsburgh, PA 15205 ( 3 Days On-Site / 2 Days Remote ) | OR | Remote (1st pref-EST; 2nd ... The position sits within CEI's Solutions and Engineering organization, working alongside data ...

Qualysoft

Hybrid - ca. 50 % vor Ort in Wien, ca. 50 % remote Projektsprache: Deutsch und Englisch Aufgaben: ... und Databricks SQL Durchfuhrung von Feature Engineering sowie Training, Versionierung und ...

LHH US

Senior Databricks AI/ML Engineer

Seattle, WA · Remote

$150K - $183K/yr

Remote (must reside in (WA, OR, ID, OH, SC, TX, FL, IL, NC) Employment Type: Full-Time About the Role We are seeking a Sr. Databricks AI/ML Engineer with deep expertise in building AI applications ...

Jobgether

This is a remote opportunity to shape enterprise-scale data, cloud, and AI transformation ... You will design and implement modern lakehouse architectures while solving complex data engineering ...

New

Databricks

Manager, Field Engineering - MFG

Chicago, IL · On-site +1

Louis) While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in the Central United States. The Databricks Field Engineering team ...

LHH US

Senior Databricks AI/ML Engineer

Seattle, WA · Remote

$150K - $183K/yr

Remote (must reside in (WA, OR, ID, OH, SC, TX, FL, IL, NC) Employment Type: Full-Time About the Role We are seeking a Sr. Databricks AI/ML Engineer with deep expertise in building AI applications ...

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Remote Databricks Developer information

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.

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 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.

More about Remote Databricks Developer jobs

What cities are hiring for Remote Databricks Developer jobs?

Cities with the most Remote Databricks Developer job openings:

What are the most commonly searched types of Databricks Developer jobs?

The most popular types of Databricks Developer jobs are:

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States with the most job openings for Remote Databricks Developer jobs include:

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The top searched job categories for Remote Databricks Developer jobs are:

Remote Databricks Developer jobs near you
Infographic showing various Remote Databricks Developer job openings in the United States as of August 2026, with employment types broken down into 63% Full Time, 31% Contract, and 6% Nights. Highlights an 100% Remote job distribution.

Databricks Architect

CEI

Pittsburgh, PA • On-site, Remote

$62.75 - $82.50/hr

Full-time

Re-posted just now

Job description

Databricks MVP Architect

Location: Pittsburgh, PA (Hybrid Preferred) | Remote Considered
Type: Full-Time

Overview:

We are seeking a Databricks MVP Architect to lead the design and evolution of our enterprise data platform. This role combines strategic architecture, hands-on leadership, and expertise in building scalable Lakehouse solutions on Databricks.

Current Databricks MVP designation is required.

Responsibilities:
  • Architect and lead enterprise data and AI solutions on Databricks.
  • Design and optimize Lakehouse architectures using Delta Lake and Unity Catalog.
  • Establish data governance, security, and architecture standards.
  • Partner with business and technical stakeholders to drive data strategy.
  • Mentor engineering teams and provide technical leadership.
Requirements:
  • Active Databricks MVP designation (Required)
  • 10+ years of Data Engineering, Data Architecture, or Cloud Architecture experience.
  • 5+ years of hands-on Databricks experience.
  • Expert knowledge of Databricks, Delta Lake, Unity Catalog, PySpark, and Spark SQL.
  • Experience with AWS, Azure, or GCP.
  • Strong leadership and stakeholder management skills.
Preferred:
  • Databricks Professional Certifications.
  • Experience with AI/ML and Generative AI workloads.
  • Consulting or client-facing architecture experience.

Key Skills: Databricks MVP, Databricks Lakehouse, Delta Lake, Unity Catalog, PySpark, Spark SQL, Data Architecture, Cloud Architecture, Data Governance, AI/ML, Technical Leadership.
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