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Databricks Certified Developer Jobs (NOW HIRING)

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Databricks Architect

Los Angeles, CA · On-site

$69.75 - $91.50/hr

Databricks Certified Data Engineer Professional * Databricks Certified Machine Learning Professional * Databricks Lakehouse Fundamentals * Experience with MLflow, Feature Store, or MLOps workflows.

Stefanini, Inc

$47.75 - $62.75/hr

Job Details Databricks on AWS Platform Architect Dallas,TX Job Category: Application development ... AWS Certification (DevOps/Solution Architect) * Terraform Pay Range: $ 60.00 - $ 65.00 #J-18808 ...

Stefanini, Inc

Databricks on AWS Platform Architect

Dallas, TX · On-site

$64.25 - $84.50/hr

Job Details Databricks on AWS Platform Architect Dallas,TX Job Category: Application development ... AWS Certification (DevOps/Solution Architect) * Terraform Pay Range: $ 60.00 - $ 65.00 #J-18808 ...

Scicom Infrastructure Services

Databricks SME

Atlanta, GA · Remote

$66.25 - $87/hr

Databricks Certified Data Engineer Professional * Databricks Certified Professional Architect (or equivalent advanced certification) Preferred / Additional Certifications * AWS Certified Solutions ...

Scicominfra

Databricks SME

Atlanta, GA · On-site

$62.25 - $81.75/hr

Databricks Certified Data Engineer Professional * Databricks Certified Professional Architect (or equivalent advanced certification) Preferred / Additional Certifications * AWS Certified Solutions ...

Vultus Inc

Databricks Engineer

Johnson, VT · On-site +1

Databricks Engineer Experience 3-6 Years Job Type Full-Time Job Location Hyderabad / Remote ... AWS Certified Data Engineer Salary Competitive / Based on Experience

Changeis

Databricks Platform Administrator

Databricks Certified Data Engineer, Databricks Certified Associate Developer for Apache Spark, or another relevant Databricks certification. * Cloud certification from Microsoft Azure, Amazon Web ...

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Databricks Certified Developer information

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How much do databricks certified developer jobs pay per hour?

As of Sep 11, 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 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 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 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.

What are popular job titles related to Databricks Certified Developer jobs?

For Databricks Certified Developer jobs, the most frequently searched job titles are:

Infographic showing various Databricks Certified Developer job openings in the United States as of September 2026, with employment types broken down into 3% As Needed, 76% Full Time, 15% Part Time, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $44,606 per year, or $21.4 per hour.

Senior Databricks Engineer

Austin, TX • On-site

Resource Informatics Group
Software Development • 1 - 10 employees
Learn more about Resource Informatics Groupexternal

$103K - $142K/yr

Other

Re-posted 12 days ago

Job description

Role: Senior Databricks Engineer

Location: Austin, TX

Duration: Long term (Multiyear)

Client: State of Texas

Interview: Two rounds

Start date: Sept 1st, 2026

The Databricks Engineer should design, develop, and optimize scalable data solutions on Databricks, leveraging PySpark or Scala for large-scale data processing. Build and maintain ingestion pipelines, Declarative Pipelines (DLT), and Medallion Architecture (Bronze, Silver, Gold) to support enterprise analytics and reporting. Develop robust data models and implement data quality, validation, and governance frameworks. Create dynamic dashboards, Databricks Apps, and analytical solutions to deliver actionable business insights. Optimize workloads, monitoring, and operational processes to ensure scalability, security, and cost efficiency.

Required Skills:

Experience required: 10 years

  • Experience in IT, supporting the design, development, deployment, or delivery of technology solutions.
  • Experience with Databricks, including building and optimizing ETL/ELT data pipelines using Apache Spark.
  • Experience in data warehousing and dimensional data modeling (star/snowflake schemas).
  • Proficiency in SQL and Python (or Scala) for large-scale data processing.
  • Experience designing and developing dashboards and applications natively within Databricks (e.g., Databricks SQL dashboards, Databricks Apps).
  • Experience implementing data governance, data quality, and data security practices.
  • Experience implementing Lakeflow Declarative Pipelines (formerly Delta Live Tables/DLT) for building and managing production data pipelines.
  • Experience with Delta Lake, medallion architecture (bronze/silver/gold layers), data lakehouse design, and creating and scheduling offline jobs using Lakeflow Jobs (formerly Databricks Workflows) or similar orchestration tools (e.g., Airflow).
  • Excellent communication skills, both verbal and written, including presenting insights to technical and business stakeholders.
  • Experience working in public sector or state government environments.
  • Databricks certification (e.g., Databricks Certified Data Engineer Associate/Professional).
  • Experience with CI/CD practices for data pipelines (DevOps, Git-based workflows).

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