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Remote Azure Databricks Jobs in Oregon (NOW HIRING)

Solutions Architect

OR · Remote

$63 - $83/hr

Core cloud data platforms including Snowflake, AWS, Azure, Databricks and GCP * SQL and the ability ... Remote-First Work Environment * Casual, award-winning small-business work environment

Experience building Databricks environments in Microsoft Azure Cloud Services, Amazon Web Services ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Senior DevOps Engineer

OR · On-site +1

$129K - $166K/yr

Atlanta / Remote Must Have * Cloud Platforms: Strong hands-on experience with AWS and Azure ... Experience with data platforms (Databricks, Snowflake, Redshift) * GCP experience a plus; comfort ...

IT Data Engineer

OR · On-site +1

$114K - $137K/yr

Experience with tools such as Azure Data Factory, Databricks, Azure DevOps, SSMS, SSIS, and SSRS ... Employees must provide their own reliable internet if working a remote/hybrid position The ...

IT Data Engineer

OR · On-site +1

$114K - $137K/yr

Experience with tools such as Azure Data Factory, Databricks, Azure DevOps, SSMS, SSIS, and SSRS ... Employees must provide their own reliable internet if working a remote/hybrid position The ...

Data Engineer AI II

$120K - $145K/yr

... Databricks, AWS, Azure, GCP, OCI etc.). 6+ years of working knowledge of RDBMS (Oracle, MS SQL ... remote #senior #LI-DNP Employment Type: OTHER

Experience with Databricks, Apache Spark, or similar distributed data processing frameworks is ... Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional Information Work ...

Fri remote) for candidates in the Kansas City area and open to qualified remote candidates outside ... Azure), modern data platforms (Snowflake, Databricks), and data processing frameworks (Hadoop ...

Remote Azure Databricks information

What are Remote Azure Databricks jobs?

Remote Azure Databricks jobs are positions where professionals use Azure Databricks—a cloud-based analytics platform optimized for big data and machine learning—while working from a remote location. These roles typically involve tasks like building data pipelines, analyzing large datasets, developing and deploying machine learning models, and collaborating with teams virtually. Remote Azure Databricks professionals need strong skills in Spark, Python or Scala, and a good understanding of cloud computing. They often work as data engineers, data scientists, or analytics specialists, leveraging the platform’s capabilities to deliver data-driven insights for organizations.

What is the difference between Remote Azure Databricks vs Remote Data Engineer?

AspectRemote Azure DatabricksRemote Data Engineer
Required CredentialsAzure certifications, Spark/Databricks knowledgeData engineering certifications, SQL, cloud platform skills
Work EnvironmentCloud-based, collaborative platform for data analyticsData pipelines, database management, cloud environments
Industry UsageData analytics, AI, machine learning projectsData pipeline development, ETL processes

Remote Azure Databricks specialists focus on leveraging the Databricks platform for data analytics and machine learning, often working within cloud environments. Remote Data Engineers build and maintain data pipelines and infrastructure, frequently using cloud tools. While both roles require cloud and data skills, Azure Databricks roles are more centered on analytics and AI, whereas Data Engineers focus on data infrastructure and processing.

What are the key skills and qualifications needed to thrive as a Remote Azure Databricks professional, and why are they important?

To thrive as a Remote Azure Databricks professional, you need strong expertise in data engineering, cloud computing, and proficiency in programming languages such as Python or Scala, typically supported by a relevant degree or certifications. Familiarity with Azure services, Databricks platform, Spark, and data pipeline orchestration tools is essential, often validated by Microsoft Azure or Databricks certifications. Excellent problem-solving, collaboration, and communication skills help you work effectively in distributed teams and convey complex technical concepts clearly. These skills and qualifications ensure robust data solutions, efficient remote teamwork, and the ability to leverage cloud analytics for business impact.

What are some common challenges faced by Remote Azure Databricks engineers, and how can they be managed?

Remote Azure Databricks engineers often encounter challenges related to collaboration and data security. Since Databricks projects typically involve large datasets and multiple stakeholders, coordinating work across time zones and ensuring secure data access can be complex. To manage these challenges, it's important to establish clear communication channels, use project management tools, and follow best practices in data governance. Regular team meetings and thorough documentation also help maintain alignment and ensure project success.
What are the most commonly searched types of Azure Databricks jobs in Oregon? The most popular types of Azure Databricks jobs in Oregon are:
What are popular job titles related to Remote Azure Databricks jobs in Oregon? For Remote Azure Databricks jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Azure Databricks jobs in Oregon look for? The top searched job categories for Remote Azure Databricks jobs in Oregon are:
What cities in Oregon are hiring for Remote Azure Databricks jobs? Cities in Oregon with the most Remote Azure Databricks job openings:
Solutions Architect

Solutions Architect

phData

OR • Remote

$63 - $83/hr

Other

PTO

Posted 21 days ago


Job description

Required Experience:

  • 8+ years as a hands-on Solutions Architect and/or Data Engineer designing and implementing data solutions
  • Team lead, and/or mentorship of other engineers
  • Ability to develop end-to-end technical solutions into production - and to help ensure performance, security, scalability, and robust data integration.
  • Programming expertise in Java, Python and/or Scala 
  • Core cloud data platforms including Snowflake, AWS, Azure, Databricks and GCP
  • SQL and the ability to write, debug, and optimize SQL queries
  • Client-facing written and verbal communication skills and experience
  • Create and deliver detailed presentations 
  • Detailed solution documentation (e.g. including POCS and roadmaps, sequence diagrams, class hierarchies, logical system views, etc.)
  • 4-year Bachelor's degree in Computer Science or a related field

Prefer any of the following: 

  • Production experience in core data platforms: Snowflake, AWS, Azure, GCP, Hadoop, Databricks
  • Cloud and Distributed Data Storage: S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra or other NoSQL storage systems
  • Data integration technologies: Spark, Kafka, event/streaming, Streamsets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure DataFactory, Informatica Intelligent Cloud Services (IICS), Google DataProc or other data integration technologies
  • Multiple data sources (e.g. queues, relational databases, files, search, API)
  • Complete software development lifecycle experience including design, documentation, implementation, testing, and deployment
  • Automated data transformation and data curation: dbt, Spark, Spark streaming, automated pipelines
  • Workflow Management and Orchestration: Airflow, AWS Managed Airflow, Luigi, NiFi

Why phData? We offer:

  • Remote-First Work Environment
  • Casual, award-winning small-business work environment
  • Collaborative culture that prizes autonomy, creativity, and transparency
  • Competitive comp, excellent benefits, 4 weeks PTO plus 10 Holidays (and other cool perks)
  • Accelerated learning and professional development through advanced training and certifications

#LI-DNI