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Databricks Certified Developer Jobs (NOW HIRING)

MSR Cosmos

GCP Databricks Architect

Davidson, NC · On-site

$59 - $76/hr

Databricks Certified Data Engineer * Experience with modern data governance frameworks * Exposure to AIML and advanced analytics Soft Skills * Strong communication and collaboration skills * Ability ...

Analytica

Data Engineer Lead

Bethesda, MD · On-site

$109K - $144K/yr

... Databricks Certified Machine Learning Associate * AWS Certified Data Analytics - Specialty and/or AWS Certified DevOps Engineer - Professional * Experience working in client-facing or consulting ...

Infinitive Inc

Senior Data Engineer (Databricks)

Ashburn, VA · On-site

$108K - $147K/yr

Provide technical guidance and mentorship to data engineering teams. * Stay updated with the latest ... Databricks Certified Associate. * Excellent problem-solving skills and attention to detail.

CEDENT

Azure Databricks Engineer

Dallas, TX

$59.25 - $77.25/hr

Databricks Certified Associate Developer for Apache Spark. * Education : * Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Infinitive Inc

Senior Data Engineer (Databricks)

Ashburn, VA · On-site

$108K - $147K/yr

Provide technical guidance and mentorship to data engineering teams. * Stay updated with the latest ... Databricks Certified Associate. * Excellent problem-solving skills and attention to detail.

Analytica

Data Engineer Lead

Bethesda, MD · On-site

$109K - $144K/yr

... Databricks Certified Machine Learning Associate * AWS Certified Data Analytics - Specialty and/or AWS Certified DevOps Engineer - Professional * Experience working in client-facing or consulting ...

Plateau Software, Inc.

Azure Databricks Engineer

Fairfax, VA · On-site

$59.50 - $77.50/hr

... certification. * Experience supporting federal data modernization or enterprise cloud transformation programs. * Familiarity with DevOps/CI-CD pipelines, GitHub Enterprise, and Infrastructure as Code ...

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Databricks Certified Developer information

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How much do databricks certified developer jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for databricks certified developer in the United States is $21.45, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $23.32 per hour, depending on experience, location, and employer.

What is a Databricks Certified Developer?

A Databricks Certified Developer is an individual who has successfully passed a certification exam offered by Databricks, demonstrating their expertise in using the Databricks platform for big data processing, data engineering, and analytics. This certification validates skills in areas such as Apache Spark programming, data pipelines, and working with Databricks notebooks. It is often pursued by data engineers, data scientists, and other professionals who work with large-scale data processing and analytics on the Databricks platform. Earning this certification can help advance your career by proving your proficiency to employers and peers. The certification process typically includes study, hands-on experience, and passing a formal exam.

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

To thrive as a Databricks Certified Developer, you need a solid background in data engineering, programming (Python, Scala, or SQL), and experience working with big data platforms. Expertise in Databricks tools, Apache Spark, and holding a Databricks certification are typically expected. Strong problem-solving skills, collaboration, and effective communication help you excel in cross-functional teams and convey complex data solutions clearly. These competencies are crucial for building scalable data pipelines, optimizing analytics workflows, and delivering impactful business insights.

What are some common challenges faced by Databricks Certified Developers when integrating Apache Spark workloads with existing data pipelines?

Databricks Certified Developers often encounter challenges such as handling data compatibility across different source systems, optimizing Spark jobs for performance, and managing resource allocation within shared clusters. Collaboration with data engineers and data scientists is essential to ensure smooth data flow and efficient use of compute resources. Staying up to date with best practices in cluster management and Spark optimization techniques can help overcome these hurdles and lead to more reliable, scalable pipelines.

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

AspectDatabricks Certified DeveloperData Engineer
CertificationsDatabricks Certified DeveloperOften holds certifications like Databricks Certified Data Engineer or related cloud certifications
Work EnvironmentPrimarily works within Databricks platform, focusing on developing Spark-based applicationsWorks on data pipelines, ETL processes, and infrastructure across various platforms including Databricks, cloud, or on-premises
ResponsibilitiesDevelops and optimizes Spark applications, writes code, and collaborates on data projectsDesigns, builds, and maintains data pipelines, ensuring data quality and accessibility

While both roles involve working with big data and Spark, the Databricks Certified Developer focuses on application development within the Databricks environment, whereas Data Engineers handle broader data pipeline architecture and infrastructure across multiple platforms.

GCP Databricks Architect

MSR Cosmos

Davidson, NC • On-site

$59 - $76/hr

Contractor

Posted 4 days ago

Job description

Role: GCP Databricks Architect
Location: Davidson, NC Onsite
Duration: Long Term
 
"BRIEF POSITION SUMMARY
 
Experienced Data Platform Architect to design and manage enterprise grade data solutions This role will focus on building and optimizing data platforms leveraging Google Cloud Platform GCP Databricks Looker and Data form ensuring scalability security and performance across all data driven applications
 
Key Responsibilities
 
  • Data Architecture  Strategy
  • Design and implement modern data platform architecture for enterprise applications
  • Ensure seamless integration of Dataform Looker Databricks and GCP services
 
Cloud Data Platform
  • Architect solutions using Google Cloud Platform components BigQuery Dataflow Cloud Storage PubSub
  • Optimize data pipelines for performance and cost efficiency
 
Analytics  BI
  • Develop semantic models and dashboards in Looker
  • Enable selfservice analytics and governance
 
Data Engineering
  • Build and maintain data workflows using Dataform and Databricks
  • Implement best practices for data ingestion transformation and orchestration
 
DevOps for Data
  • Establish CICD pipelines for data workflows
  • Automate deployments and monitoring for data services
 
Governance  Security
  • Define and enforce data governance security and compliance standards
 
 Required Skills  Experience
  • Cloud Expertise Strong experience with GCP Data Platform
  • Data Engineering Tools Proficiency in Databricks Dataform and SQLbased transformations
  • BI Tools Advanced knowledge of Looker
  • Programming Python SQL Spark
  • DevOps Familiarity with CICD tools and Infrastructure as Code Terraform
  • Architecture Ability to design endtoend data solutions for largescale enterprise environments
 
Preferred Qualifications
  • Google Professional Data Engineer or Cloud Architect certification
  • Databricks Certified Data Engineer
  • Experience with modern data governance frameworks
  • Exposure to AIML and advanced analytics
 
Soft Skills
  • Strong communication and collaboration skills
  • Ability to work in an agile environment and manage multiple priorities
  • Thought leadership in modern data architecture principles"