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Databricks Certified Developer Jobs (NOW HIRING)

Tenacity Solutions LLC

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Databricks Certified Data Engineer

Washington, DC · Remote

$117K - $140K/yr

Databricks Data Engineer - Databricks Certified We are seeking an experienced Databricks Data ... Experience implementing CI/CD and DevOps practices for data-engineering solutions. * Strong ...

Excella

Lead Consultant Data Engineer (DHS)

Arlington, VA · On-site

$131K - $158K/yr

Databricks Certified Developer for Apache Spark * Databricks Certified Data Engineer Associate * Databricks Certified Data Engineer Professional * AWS Certified Data Analytics - Specialty * Python or ...

1 point system

Databricks Engineer

Austin, TX · On-site

Databricks certification (e.g., Databricks Certified Data Engineer Associate/Professional ... Experience with CI/CD practices for data pipelines (DevOps, Git-based workflows)

Delan Associates, Inc.

Senior Databricks Data Engineer

Austin, TX · On-site +1

$121K - $160K/yr

Minimum 12+ Years Mandatory Requirements • Databricks Certified Data Engineer (Associate or Professional) • Azure Databricks • Lakehouse Architecture • ETL / ELT Pipelines • Delta Live ...

Analytica

Systems Architect - DevSecOps

Bethesda, MD · On-site

Databricks Certified Data Engineer * Databricks Certified Developer for Apache Spark * Apache Spark or Big Data certifications Analytics & Visualization Certifications * Databricks certification

Changeis

Databricks Platform Engineer

... Certified Associate Developer for Apache Spark, or another relevant Databricks certification. * Cloud certification from Microsoft Azure, Amazon Web Services, or Google Cloud. * Experience supporting ...

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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 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 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 1% Locum Tenens, 3% As Needed, 74% Full Time, 16% 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.

Databricks Certified Data Engineer

Washington, DC • Remote

Tenacity Solutions LLC
See more jobs at Tenacity Solutions LLCexternal

$117K - $140K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 6 days ago

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Job description

Databricks Data Engineer – Databricks Certified


We are seeking an experienced Databricks Data Engineer to design, develop, optimize, and support enterprise-scale data engineering solutions using the Databricks Lakehouse Platform.

The ideal candidate will have advanced, hands-on experience with Databricks, Apache Spark, PySpark, Python, SQL, Delta Lake, Unity Catalog, and cloud data platforms, with a demonstrated record of delivering complex, production-grade data engineering solutions.


Databricks Certified Data Engineer Professional certification is required for this position.


Key Responsibilities

  • Design and develop scalable, production-grade data pipelines using Databricks, Apache Spark, PySpark, Python, and SQL.
  • Build and optimize ETL/ELT pipelines supporting batch and streaming workloads.
  • Develop and maintain Delta Lake solutions using Bronze, Silver, and Gold data layers.
  • Design scalable Lakehouse architectures supporting enterprise analytics and data modernization.
  • Develop and manage Databricks Jobs, Workflows, notebooks, and automated data-processing pipelines.
  • Apply advanced Spark optimization and performance-tuning techniques, including partitioning, joins, caching, query optimization, and cluster configuration.
  • Troubleshoot complex Spark jobs, pipeline failures, data-processing issues, and production incidents.
  • Implement data-quality controls, validation, reconciliation, error handling, and monitoring.
  • Implement data governance and secure access using Unity Catalog, RBAC, permissions, and appropriate security controls.
  • Integrate Databricks with cloud storage, databases, APIs, enterprise applications, and downstream analytics platforms.
  • Develop reusable frameworks, libraries, notebooks, and engineering standards.
  • Implement and support CI/CD pipelines for Databricks notebooks, jobs, workflows, and application deployments.
  • Support migration and modernization initiatives from legacy data platforms to the Databricks Lakehouse.
  • Collaborate with Data Architects, Data Scientists, Business Analysts, Cloud Engineers, and DevOps teams.
  • Conduct technical design and code reviews and provide recommendations regarding scalability, performance, security, cost optimization, and engineering best practices.
  • Maintain technical documentation covering data architecture, pipelines, mappings, workflows, and operating procedures.
  • Provide production support, root-cause analysis, and resolution of critical data-platform issues.


Required Qualifications

  • Databricks Certified Data Engineer Professional certification – REQUIRED
  • 7+ years of experience in data engineering and data-platform development.
  • 3+ years of hands-on experience developing production solutions on Databricks.
  • Demonstrated experience delivering multiple enterprise-scale Databricks/Lakehouse implementations.
  • Advanced proficiency with Apache Spark, PySpark, Python, and SQL.
  • Strong hands-on experience with Delta Lake and Lakehouse architecture.
  • Strong understanding of Spark distributed computing, execution plans, partitioning, shuffles, joins, and performance optimization.
  • Experience with Databricks Jobs, Workflows, and production pipeline orchestration.
  • Experience with Unity Catalog, data governance, security, and access management.
  • Strong experience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform (GCP).
  • Experience implementing CI/CD and DevOps practices for data-engineering solutions.
  • Strong experience troubleshooting and optimizing production data pipelines.
  • Excellent analytical, problem-solving, communication, and collaboration skills.
  • Must be a U.S. Citizen.


Preferred Qualifications

  • Working knowledge of a second major cloud platform.
  • Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.
  • Active U.S. Government security clearance is welcome but not required.


Work Environment

This position is primarily remote, with limited onsite support required based on customer or project needs.

Company Description

Tenacity Solutions, LLC (Tenacity) is a Service-Disabled Veteran Owned Small Business (SDVOSB) founded by our CEO, Gabriel Brown, CAPT, USN (Ret). Tenacity is an innovative company, leveraging talent, skill, and knowledge with cutting-edge and proven practices to deliver solutions and products that exceed customers’ requirements and surpasses their expectations. Tenacity immediately has become a leading technology and management solutions provider with a mission to advance healthcare services for specialized populations including Veterans and their families. Headquartered in North, Bethesda, Maryland (DMV), our talented resources are located across the United States. We bring diverse talent to design solutions that help customers with their greatest challenges.