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Databricks Certified Developer Jobs (NOW HIRING)

Plateau Software Inc

Azure Databricks Engineer

Fairfax, VA

$96K - $132K/yr

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

CGI Inc.

Azure Databricks Engineer

Lafayette, LA · On-site

Certifications: Microsoft Certified: Azure Data Engineer Associate (DP-203) or Databricks Certified Data Engineer. . Experience with Agile methodology, data governance, and security. CGI is required ...

Booz Allen Hamilton

Mid Databricks Engineer

Mclean, VA

$62K - $141K/yr

Databricks Certified Data Engineer Asso cia te Certification Vetting: Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S ...

MSR Cosmos

Azure Solution Architect

Jersey City, NJ · On-site

$66.25 - $86.25/hr

Azure Databricks Certified Solution Architect Location: Jersey City, NJ-Onsite/Hybrid Duration ... Strong expertise in Python for data engineering, scripting, and automation. * Solid understanding ...

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How much do databricks certified developer jobs pay per hour?

As of Jun 9, 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.

Databricks Specialist

Databricks Specialist

eTelligent Group LLC

Washington, DC • Remote

Full-time

Posted 21 days ago

Job description

Company Overview:

Over the past 15 years, eTel has delivered essential solutions for the federal government by securing and managing data, providing scalable identity access, modernizing legacy systems, and building high-performance platforms. By integrating new technologies and ensuring reliable operations we help agencies stay prepared for future challenges As a premier technology solutions and services company to the US federal government, eTel possesses longstanding relationships across the federal civilian marketplace. Other customers include the broader Treasury Department, Commerce Department, and State Department.

eTel offers integrated CMMI Level 3 processes, tools, and techniques with innovative, cost-efficient, and secure solutions to address complex challenges. eTel also holds ISO 9001:2015, ISO/IEC 27001:2013, and ISO/IEC 20000-1:2018 certifications, and offers dedicated subject matter experts (SMEs) and thought leaders that possess a deep understanding of customers' environments and challenges.

Security Clearance: IRS MBI clearance (MUST already be in place)

Position Summary:

The IRS is modernizing its data platform to support analytics, reporting, and predictive modelling. We are seeking a skilled Databricks Specialist / Data Engineer to design, implement, and optimize big data pipelines and analytics solutions. The ideal candidate will have hands-on experience with Databricks, Apache Spark, and cloud-based data platforms, and a strong understanding of data governance, security, and compliance standards relevant to federal environments.

Key Responsibilities:

  • Design, develop, and maintain scalable ETL/ELT pipelines using Databricks and Apache Spark.
  • Work with large datasets from multiple sources, including structured and unstructured data, to support analytics and reporting.
  • Collaborate with IRS teams to implement data lakehouse solutions and optimize data storage and retrieval.
  • Develop and maintain Delta Lake tables and pipelines to ensure data reliability and ACID compliance.
  • Implement data transformations, cleansing, and enrichment processes for downstream analytics and reporting.
  • Work with Python, SQL, and other scripting languages to build and automate workflows.
  • Ensure compliance with IRS security standards, NIST 800-53, and IRS 1075 for handling sensitive taxpayer data.
  • Collaborate with data scientists, analysts, and other stakeholders to deliver actionable insights.
  • Participate in performance tuning, troubleshooting, and optimization of Databricks clusters and workloads.

Required Qualifications:

  • Hands-on experience with Databricks and Apache Spark in production environments.
  • Strong data engineering skills: ETL/ELT pipelines, data modeling, and analytics.
  • Proficient in Python, SQL, or Scala for data processing.
  • Experience with cloud platforms such as AWS, Azure, or GCP, including cloud storage, compute, and security controls.
  • Knowledge of Delta Lake, data lake architecture, and big data best practices.
  • Experience working in federal or highly regulated environments preferred.

Desired Skills / Nice to Have:

  • Familiarity with data governance, metadata management, and lineage tracking.
  • Experience integrating Databricks with BI tools like Power BI or Tableau.
  • Knowledge of machine learning workflows in Databricks.
  • Understanding of IRS modernization initiatives and taxpayer data sensitivity.

Education / Certifications:

  • Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
  • Relevant certifications are a plus: Databricks Certified Data Engineer | AWS / Azure / GCP Cloud Certifications | Certified Analytics Professional (CAP)

Location: Remote

Commitment to Diversity -
eTelligent Group provides equal employment opportunities (EEO) to all applicants without regard to race, color, religion, gender, sexual orientation, gender identity, nations origin, age, disability, genetic information, marital status, amnesty, status as a covered veteran, and any other characteristic provided in accordance with applicable, federal, state and local laws.