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Azure Data Bricks Engineer Jobs in Portland, OR (NOW HIRING)

Qode

Sr Data Engineer (Databricks)

Camas, WA · On-site

$126K - $151K/yr

Experience with cloud data warehouse and analytics technologies, specifically Azure Databricks ... Knowledge of DevOps in application development such as GitHub Actions, or Powershell * Experience ...

Qode

Sr Data Engineer (Databricks)

Camas, WA · On-site

$126K - $151K/yr

Experience with cloud data warehouse and analytics technologies, specifically Azure Databricks ... Knowledge of DevOps in application development such as GitHub Actions, or Powershell * Experience ...

Pwc

Data Engineer - Manager

Portland, OR

... Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and ...

Pwc

Data Engineer - Senior Associate

Portland, OR

$77K - $202K/yr

... Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies ...

Fisher Investments

Data Engineer

Camas, WA

... Azure Storage, Azure Data Factory, Azure Synapse, Cosmos DB, GitHub, Azure DevOps, and CI/CD ... pipelines * Advanced knowledge of Extract/Transform/Load (ETL) and/or Extract/Load/Transform (ELT ...

Fisher Investments

Data Engineer

Vancouver, WA

... Azure Storage, Azure Data Factory, Azure Synapse, Cosmos DB, GitHub, Azure DevOps, and CI/CD ... pipelines * Advanced knowledge of Extract/Transform/Load (ETL) and/or Extract/Load/Transform (ELT ...

Fisher Investments

Data Engineer

Camas, WA

... Azure Storage, Azure Data Factory, Azure Synapse, Cosmos DB, GitHub, Azure DevOps, and CI/CD ... pipelines * Advanced knowledge of Extract/Transform/Load (ETL) and/or Extract/Load/Transform (ELT ...

Fisher Investments

Data Engineer

Gresham, OR

... Azure Storage, Azure Data Factory, Azure Synapse, Cosmos DB, GitHub, Azure DevOps, and CI/CD ... pipelines * Advanced knowledge of Extract/Transform/Load (ETL) and/or Extract/Load/Transform (ELT ...

Fisher Investments

Data Engineer

Portland, OR

... Azure Storage, Azure Data Factory, Azure Synapse, Cosmos DB, GitHub, Azure DevOps, and CI/CD ... pipelines * Advanced knowledge of Extract/Transform/Load (ETL) and/or Extract/Load/Transform (ELT ...

Fisher Investments

Senior Platform Engineer

Camas, WA · On-site

As a Sr. Platform Engineer, you will perform design and administration of our Azure data and analytics platform to ensure smooth system operations and be the guide for architectural principles and ...

Fisher Investments

Azure Cloud Engineer

Camas, WA

As a Cloud Engineer, you will consult and contribute to business process improvements of IT ... Azure Data Factory) * Knowledge of identity management, security controls, compliance and ...

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All JobsAzure Data Bricks Engineer JobsAzure Data Bricks Engineer Jobs in Portland, OR

Azure Data Bricks Engineer information

See Portland, OR salary details

$11

$61

$84

How much do azure data bricks engineer jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for azure data bricks engineer in Portland, OR is $61.94, according to ZipRecruiter salary data. Most workers in this role earn between $56.11 and $69.62 per hour, depending on experience, location, and employer.

How does an Azure Data Bricks Engineer typically collaborate with data scientists and business analysts within a project team?

Azure Data Bricks Engineers often work closely with data scientists and business analysts to design, build, and optimize scalable data pipelines and analytics solutions. They enable seamless data access, integrate various data sources, and ensure efficient data processing, which allows data scientists to focus on modeling and analysis. Regular collaboration involves participating in sprint planning, code reviews, and troubleshooting sessions to ensure the data infrastructure aligns with business requirements. Clear communication and cross-functional teamwork are essential for successful project delivery.

What are the key skills and qualifications needed to thrive as an Azure Data Bricks Engineer, and why are they important?

To thrive as an Azure Data Bricks Engineer, you need a strong background in data engineering, distributed computing, and proficiency with languages like Python, SQL, and Scala, usually supported by a relevant degree or certification. Familiarity with Azure Data Bricks, Azure Data Lake, Spark, and integration with other Azure services is essential, as is knowledge of cloud security and DevOps practices. Strong problem-solving skills, attention to detail, and effective communication enable successful collaboration with cross-functional teams and stakeholders. These skills are vital for building scalable, reliable data solutions that drive business insights and value in cloud-based environments.

What is an Azure Databricks Engineer?

An Azure Databricks Engineer is an IT professional who specializes in designing, developing, and maintaining data analytics solutions using Azure Databricks, a cloud-based Apache Spark platform provided by Microsoft Azure. They build data pipelines, integrate data from various sources, and enable advanced analytics and machine learning tasks. Their responsibilities often include optimizing performance, ensuring data security, and collaborating with data scientists and business analysts to deliver insights.

What is the difference between Azure Data Bricks Engineer vs Data Engineer?

AspectAzure Data Bricks EngineerData Engineer
Required CredentialsAzure certifications, SQL, SparkGeneral data management, SQL, Python, cloud certifications
Work EnvironmentAzure cloud platform, Data Bricks environmentVarious cloud platforms or on-premises data systems
Employer & Industry UsageTech, finance, healthcare using Azure cloudBroad industry, including tech, finance, retail
Common Search & ComparisonFocus on Azure Data Bricks-specific skillsBroader data pipeline and database management skills

Azure Data Bricks Engineers specialize in building data solutions on the Azure platform using Data Bricks, while Data Engineers have a broader role managing data pipelines across various platforms. Both roles require SQL and cloud knowledge, but Azure Data Bricks Engineers focus more on Spark and Azure-specific tools.

What are popular job titles related to Azure Data Bricks Engineer jobs in Portland, OR? For Azure Data Bricks Engineer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Azure Data Bricks Engineer jobs in Portland, OR look for? The top searched job categories for Azure Data Bricks Engineer jobs in Portland, OR are:
Azure Data Bricks Engineer jobs near you
Azure/Python/SQL Developer

Azure/Python/SQL Developer

Avani Technology Solutions, Inc.

Portland, OR • On-site

$52.75 - $72.75/hr

Full-time

Re-posted 13 days ago

Job description

Job Description:
  • Hands-on experience architecting, developing and testing data integration/ migration solutions.
  • Ability to analyze and trouble shoot issues in Azure environment
  • 2+ years' experience with Python with Spark configuration. Azure data bricks is a plus.
  • Created pipelines, datasets, linked services in Azure Data factory.
  • Knowledge on Integration run times.
  • Read and write data blobs in Azure Data Lake and transformation into Azure SQL Data Warehouse,
  • Experience with Power BI and Azure Analysis Services
  • Experience working with REST APIs
  • Familiarity with any DevOps tools. Ex: Ansible, Puppet or Chef
  • Expert in SQL and query optimization for data platforms such as Azure SQL Data Warehouse, HDInsight
  • Experience working in GIT. Pull request creation, Branching and Cherry picking codes.
  • Expert in database concepts, including normalization, indexing, physical and logical modeling, creation of SQL queries and performance tuning.
  • Solid understanding of data flows, data models for batch and near real time flows.
  • Good oral and written communication skills as the role demands coordination with different stakeholders both in-house and external.

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