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Databricks Certified Developer Jobs (NOW HIRING)

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 ...

Databricks SME

Washington, DC · On-site

$63.25 - $84.50/hr

Databricks Certified Data Engineer Professional certification preferred. * AWS Certified Data Analytics or Solutions Architect certification preferred.

Preferred Certifications Databricks Certified Data Engineer Associate / Professional Databricks Certified Solutions Architect AWS Certified Database Specialist or equivalent Cloud Certifications

Databricks Lead/Architect

Portland, OR · On-site

$58.50 - $80.25/hr

Databricks Certified Data Engineer (Associate or Professional) and/or Azure Data Engineer Associate (DP-203) certifications are highly desirable. * Excellent communication, presentation, and ...

Databricks Azure Consultant

Houston, TX · On-site

$52.50 - $65.25/hr

Databricks Certified Data Engineer Associate/Professional. * Experience in Utilities, Energy, Banking, Healthcare, or Retail domains. * Experience with Agile delivery methodologies. * Primary ...

Sr. Data Engineer-Azure Databricks

Houston, TX · On-site

$109K - $131K/yr

CI/CD & DevOps Automation: Develop, maintain, and automate Databricks workspace deployments and jobs using YAML and Classic CI/CD pipelines in Azure DevOps. Certifications (Highly Prioritized)

Databricks Architect

Mclean, VA · On-site

$66.50 - $87.25/hr

Databricks Certified Data Engineer Professional certification. * Databricks Solutions Architect certification. * Experience with Generative AI, LLMs, Vector Search, Model Serving, and Mosaic AI.

Databricks Architect

Mclean, VA · On-site

$66.50 - $87.25/hr

Databricks Certified Data Engineer Professional certification. * Databricks Solutions Architect certification. * Experience with Generative AI, LLMs, Vector Search, Model Serving, and Mosaic AI.

Databricks certifications (for example, Databricks Certified Data Engineer Professional or Databricks Platform Architect). * Experience with complementary tooling in the modern data stack (dbt ...

Databricks Architect

Sarasota, FL · On-site

$60 - $79/hr

Mentor data engineers and technical leads throughout the development lifecycle. * Evaluate and ... Databricks Certified Professional/Associate certification. * Experience with AI/ML and MLOps on ...

Data Engineer (Databricks)

Washington, DC · On-site

$129K - $155K/yr

You earn the Databricks Certified Data Engineer Associate and Professional certifications during the program. * This is a long-term client engagement. Over time there may be an opportunity for the ...

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 ...

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

... 203) certification . . Experience with Infrastructure as Code (Terraform/Bicep) . . Experience implementing DevOps practices for Azure Databricks environments . . Familiarity with Azure Purview ...

Showing results 41-60

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.

Data Engineer Lead

Bethesda, MD • On-site

Analytica
51 - 200 employees

$109K - $144K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Analytica is seeking a hands‑on Technical Lead – Data Engineering to support the design, development, and delivery of modern data and analytics solutions in a cloud‑based environment. This role is best suited for a senior engineer who has grown into a leadership role and enjoys mentoring teams while remaining deeply involved in technical execution.

This role follows a hybrid schedule; candidates should be located in the DMV area to support in‑person collaboration as needed.

The Technical Lead will be a contributor who can lead by example—guiding engineers, coordinating technical delivery, and helping teams solve complex engineering challenges. The focus for this role will be heavily centered around Databricks and modern data engineering practices within AWS environments.

Key Responsibilities
  • Lead day‑to‑day technical execution for engineering teams delivering data and analytics solutions
  • Serve as a senior hands‑on engineer contributing to solution design, development, troubleshooting, and optimization
  • Guide and mentor engineers through technical leadership, collaboration, and code review
  • Support development and maintenance of scalable data pipelines, integrations, and processing frameworks within Databricks and AWS
  • Collaborate with architects and program leadership to implement technical solutions aligned with project objectives
  • Help break down requirements into actionable development tasks and support sprint execution
  • Partner with application engineers, QA/test teams, and business analysts to ensure successful delivery
  • Promote engineering best practices around performance, maintainability, testing, and operational support
  • Assist with production support, root‑cause analysis, and continuous improvement efforts
  • Contribute to Agile delivery activities including backlog refinement, sprint planning, and technical estimation
Required Qualifications
  • U.S. citizenship and ability to obtain and maintain any required clearance or suitability determination
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or related field. Master’s degree is a plus.
  • 8+ years of experience building and maintaining ETL/ELT pipelines and large‑scale data processing solutions
  • Hands‑on expertise with Databricks and modern data engineering frameworks
  • Experience working within AWS cloud environments
  • Strong proficiency in Python and/or Spark‑based data processing
  • Familiarity with CI/CD pipelines, Git‑based workflows, and Agile development practices
  • Strong troubleshooting, collaboration, and communication skills
  • Ability to lead technical efforts while remaining hands‑on in delivery
  • Certifications:
  • Databricks Certified Data Engineer Associate and/or Databricks Certified Machine Learning Associate
  • AWS Certified Data Analytics – Specialty and/or AWS Certified DevOps Engineer – Professional
  • Experience working in client‑facing or consulting environments
  • Strong communication skills with the ability to bridge technical and non‑technical stakeholders
  • Familiarity with Agile/Scrum methodologies and tools

Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.

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