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Databricks Certified Data Engineer Associate Jobs

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Databricks Certified Data Engineer Associate or Professional certification. * Microsoft Certified Azure Data Engineer Associate, DP-203. * Experience with Infrastructure as Code using Terraform or ...

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 ...

Data Engineer

$117K - $140K/yr

Azure Data Engineer Associate * Microsoft Azure Fundamentals * Databricks Certified Data Engineer (Preferred)

New

Data Engineer

Houston, TX · On-site

$60/hr

Databricks Certified Data Engineer Associate OR * Databricks Certified Data Engineer Professional Key Responsibilities * Design, develop, and maintain scalable ETL/ELT pipelines for structured and ...

Solutions Architect

Houston, TX · On-site

$60.25 - $79.25/hr

Databricks Certified Data Engineer Associate or Databricks Certified Data Engineer Professional certification required at the time of hire. * At least 1 year of hands-on experience with Databricks ...

Databricks Certified Data Engineer Associate OR * Databricks Certified Data Engineer Professional Key Responsibilities: * Design and implement enterprise-scale data architectures and Lakehouse ...

Data Engineer - Databricks

Washington, DC · On-site

$129K - $155K/yr

You earn the Databricks Certified Data Engineer Associate and Professional certifications during the program. Revature covers the exam costs. * On completion you deploy on-site with the client in the ...

DataBricks Data Engineer

New York, NY · On-site

$65 - $68/hr

Databricks Certified Data Engineer Associate or Professional certification is considered an advantage but is not required. W2 employees of Overture Partners who work 30 or more hours per week are ...

Showing results 21-40

Databricks Certified Data Engineer Associate information

See salary details

$41.5K

$82.6K

$132K

How much do databricks certified data engineer associate jobs pay per year?

As of Sep 10, 2026, the average yearly pay for databricks certified data engineer associate in the United States is $82,636.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,500.00 and $95,000.00 per year, depending on experience, location, and employer.

What is a Databricks Certified Data Engineer Associate?

A Databricks Certified Data Engineer Associate is a professional who has demonstrated foundational knowledge and skills in building data engineering solutions using Databricks and Apache Spark. This certification validates the ability to use Databricks’ platform for tasks such as data ingestion, transformation, and managing data pipelines. It is intended for individuals who are beginning their careers in data engineering or want to validate their skills in working with Databricks. Earning this certification can help professionals stand out in the job market and prove their proficiency with cloud-based analytics solutions.

What are the key skills and qualifications needed to thrive as a Databricks Certified Data Engineer Associate?

To thrive as a Databricks Certified Data Engineer Associate, you need strong knowledge of data engineering fundamentals, SQL, ETL processes, and experience with Apache Spark, typically validated by passing the Databricks Certified Data Engineer Associate exam. Familiarity with Databricks platform tools, cloud services (such as AWS or Azure), and workflow orchestration systems is essential. Analytical thinking, problem-solving, and effective collaboration are key soft skills for excelling in cross-functional data teams. These skills enable efficient data pipeline development, ensure data quality, and support scalable analytics solutions in dynamic environments.

What are some common challenges faced by Databricks Certified Data Engineer Associates when working with large-scale data pipelines?

Databricks Certified Data Engineer Associates often encounter challenges such as optimizing data pipeline performance, managing data quality, and ensuring scalability as data volumes grow. Handling distributed computing resources efficiently and troubleshooting Spark jobs can be complex, especially when working with real-time or near-real-time data workloads. Collaborating with data scientists and analysts to align data processing with analytical requirements is also a key part of the role, requiring strong communication and problem-solving skills.

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

AspectDatabricks Certified Data Engineer AssociateApache Spark Developer
CertificationsDatabricks Data Engineer CertificationNone specific, often self-taught or based on Spark knowledge
Work EnvironmentCloud-based Databricks platform, collaborative data engineeringOn-premises or cloud Spark clusters, coding-focused
Industry UsageData engineering, ETL pipelines, data lakes on DatabricksBig data processing, Spark application development

The Databricks Certified Data Engineer Associate focuses on building data pipelines using Databricks' platform, emphasizing cloud-based tools and certifications. In contrast, an Apache Spark Developer specializes in developing Spark applications, often with a broader scope across different environments. Both roles require knowledge of Spark, but the certification and work environment differ significantly, making the Databricks certification more aligned with cloud data engineering tasks.

What cities are hiring for Databricks Certified Data Engineer Associate jobs?

Cities with the most Databricks Certified Data Engineer Associate job openings:

What are popular job titles related to Databricks Certified Data Engineer Associate jobs?

For Databricks Certified Data Engineer Associate jobs, the most frequently searched job titles are:

Infographic showing various Databricks Certified Data Engineer Associate job openings in the United States as of September 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $82,636 per year, or $39.7 per hour.

Data Engineer - Databricks

Pittsburgh, PA • On-site

System One
Business Consulting Services • 5 - 10K employees

$111K - $133K/yr

Contractor

Re-posted 19 days ago


Job description

Data Engineer – Azure Databricks Contract-to-Hire Pittsburgh, PA – Onsite Job ID J0726-0569 Visa : USC, GC, EAD (No Sponsorship) Position Overview

  • Seeking an experienced Data Engineer to join a high-performing data engineering team responsible for building modern, cloud-native data platforms on Microsoft Azure.
  • This role will focus on designing and implementing scalable, secure, and high-performance data solutions using Azure Databricks, Apache Spark, PySpark, SQL, Delta Lake, and Unity Catalog. The position requires strong expertise in enterprise data governance, metadata management, security, and access control within the Investment Banking, Securities, or Capital Markets domain.
  • The ideal candidate is passionate about cloud data engineering, enjoys solving complex data challenges, and thrives in a collaborative Agile environment.
Required Competencies Competency Importance Proficiency Level
  • Apache Spark
  • Required
  • Expert
  • Microsoft Azure
  • Required
  • Advanced
  • Investment Banking and Securities
  • Required
  • Advanced
  • Structured Query Language – SQL
  • Required
  • Expert
  • Unity Catalog
  • Required
  • Advanced
  • Databricks
  • Required
  • Expert
Key Responsibilities
  • Design, develop, and maintain scalable data pipelines using Azure Databricks.
  • Build and optimize ETL and ELT workflows using PySpark, SQL, Apache Spark, and Delta Lake.
  • Implement and manage Unity Catalog for enterprise data governance, metadata management, security, and fine-grained access control.
  • Develop cloud-native data engineering solutions on the Microsoft Azure platform.
  • Collaborate with architects, business analysts, and cross-functional teams to translate business requirements into technical solutions.
  • Optimize Spark jobs and data pipelines for performance, scalability, and cost efficiency.
  • Ensure data quality, reliability, governance, and regulatory compliance through validation, monitoring, and engineering best practices.
  • Support production deployments, troubleshooting, root-cause analysis, and performance tuning.
  • Participate in code reviews, technical documentation, and continuous improvement initiatives.
  • Apply cloud data engineering, security, CI/CD, and DevOps best practices within Azure environments.
Required Qualifications
  • 8+ years of overall data engineering or related technology experience preferred.
  • Minimum 5 years of hands-on Azure Databricks experience.
  • Mandatory hands-on experience implementing and managing Unity Catalog.
  • Expert-level experience with Apache Spark, PySpark, and SQL.
  • Strong experience developing enterprise-scale data engineering solutions on Microsoft Azure.
  • Strong experience with Delta Lake, ETL/ELT development, and data pipeline implementation.
  • Experience with Azure Data Factory and Azure Data Lake Storage Gen2.
  • Strong knowledge of the Microsoft Azure data ecosystem.
  • Strong understanding of data governance, metadata management, data security, and access control.
  • Mandatory experience within Investment Banking, Securities, or Capital Markets.
  • Experience using Git and implementing CI/CD practices.
  • Experience working in Agile/Scrum delivery environments.
  • Excellent analytical, communication, and problem-solving skills.
  • Must be willing to work onsite in Pittsburgh, PA.
  • Must be willing and eligible to convert to full-time employment after six months.
Preferred Qualifications
  • Databricks Certified Data Engineer Associate or Professional certification.
  • Microsoft Certified Azure Data Engineer Associate, DP-203.
  • Experience with Infrastructure as Code using Terraform or Bicep.
  • Experience implementing DevOps practices for Azure Databricks environments.
  • Familiarity with Microsoft Purview or Azure Purview.
#M1 #DI-CB2 #L1 - KB1 Ref: #404-IT Pittsburgh


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About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US