ZipRecruiter

Log In

2

Remote Databricks Developer Jobs in Raleigh, NC (NOW HIRING)

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

XTG

Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

... DevOps, and Dynamics 365 data integration initiatives. The Exponential Technology Group (XTG) is a ... This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ...

SAS

Product Manager- Data Acceleration

Cary, NC · On-site +1

You will work closely with software engineering teams to develop a platform product vision for this ... Databricks. * Familiarity with one or more open-source runtimes, packages, and libraries (like ...

Thermo Fisher Scientific

Sr Staff AI Architect

Raleigh, NC · On-site +1

$143K - $185K/yr

This is a remote role open in the US only. What will you do? The AI & Data Architect will define ... Experience with Databricks, Dataiku or vector databases. * Knowledge of CRM/ERP integration ...

All JobsDatabricks Developer JobsRemote Databricks Developer JobsRemote Databricks Developer Jobs in Raleigh, NC

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.

What are the most commonly searched types of Databricks Developer jobs in Raleigh, NC?

The most popular types of Databricks Developer jobs in Raleigh, NC are:

What are popular job titles related to Remote Databricks Developer jobs in Raleigh, NC?

For Remote Databricks Developer jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Remote Databricks Developer jobs in Raleigh, NC look for?

The top searched job categories for Remote Databricks Developer jobs in Raleigh, NC are:

Remote Databricks Developer jobs near you
Infographic showing various Remote Databricks Developer job openings in Raleigh, NC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Data Engineer

Meta Force Technology Staffing LLC

Raleigh, NC • Remote

$50/hr

Contractor

Re-posted 19 days ago

Job description

Data Analysts , Sr Data Engineers , Lead Data Architects
Remote EST Hours
DURATION
6 months+
PAY RATE
Market RATE $50 Hour 
GCP Data Architect with Clean room and retail media Analytics - Mandatory Experience 

INTERVIEW TYPE  : Video
VISA RESTRICTIONS
 
REQUIRED SKILLS
6–8 years in data engineering or analytics 
Strong SQL and Python skills 
Experience in Python, SQL, and GCP tools (BigQuery, Dataflow, Composer) 
Exposure to clean rooms and retail media analytics 
Bonus: Familiarity with Databricks, Kafka, or campaign reporting tools