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Temporary Databricks Data Engineer Jobs in Oregon

360training

Data Architect Manager

... Databricks, Snowflake, Synapse, AWS, or similar technologies. The right candidate is both technical and practical: someone who can set architecture patterns, guide engineers, improve legacy data ...

YipitData

Senior Software Engineer (Cloud Infrastructure)

OR · On-site +1

$108K - $147K/yr

This is a hands-on engineering role with meaningful ownership. You will help build reliable ... native and data intensive applications and systems, working closely with Databricks, OpenAI ...

Amerilife Group, LLC

Senior Manager, Finance Data Platform

OR · On-site +1

$108K - $148K/yr

Databricks & Enterprise Data Engineering * Lead the modernization and migration of Finance data capabilities onto the enterpriseDatabricks Lakehouseplatform. * Design and oversee scalable ingestion ...

Nimble Gravity

CTO, Data Platforms

OR · On-site +1

... engineers and architects use on every engagement. You raise the technical bar by mentoring senior delivery talent, running internal enablement, and making sure every Databricks (and broader data ...

phData

Principal Applied AI Solutions Architect

OR · On-site +1

You will collaborate closely with clients, Sales, data scientists, ML engineers, data engineers ... Hands-on experience with big data and analytics platforms such as Spark, Snowflake, Databricks ...

Arbital Health

AI Engineer

OR · On-site +1

$155K - $180K/yr

Arbital AI allows users to interact with complex VBC contracts & performance data in natural ... AWS, GCP, Databricks, Airflow, Datadog AI: Vertex AI, GCP Model Garden, MLflow, Databricks Vector ...

YipitData

Senior Data Engineering Manager

OR · On-site +1

Technical execution across Databricks, Airflow, SQL, PySpark , and related data infrastructure ... Lead, coach, and develop a global team of data engineers while staying close to architecture ...

Striim, Inc.

Field Engineer (English/Spanish)

OR · On-site +1

A Field Engineer will partner with a Technical Account Manager to create a guided customer journey ... Knowledge of Snowflake, Google BigQuery, Databricks, or modern cloud data platforms is preferred.

Pwc

AI & GenAI Data Scientist - Manager

Portland, OR

$99K - $232K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials ...

Pwc

AI Engineer

Portland, OR

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

Amerilife Group, LLC

Finance Data Platform Specialist

OR · On-site +1

$115K - $130K/yr

Work closely with Data Engineers and Data Architects to clarify business requirements and validate ... Experience with Databricks, Azure, SQL Server, or modern cloud data platforms. * Familiarity with ...

Qorvo, Inc.

Sales Data Analyst Intern

Hillsboro, OR · On-site

$31 - $42/hr

Support the development and evaluation of AI capabilities within Databricks, including chatbot and ... Computer Science, Engineering, Information Systems, Business Analytics, or a related field.

Qorvo, Inc.

Sales Data Analyst Intern

Hillsboro, OR

$31 - $42/hr

Support the development and evaluation of AI capabilities within Databricks, including chatbot and ... Computer Science, Engineering, Information Systems, Business Analytics, or a related field.

Kynite

Azure Databricks Admin

OR · On-site +1

$51.50 - $64/hr

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff ... engineer permanent solutions, and coordinate implementation. • Provide work guidance to less ...

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Temporary Databricks Data Engineer information

What is the difference between Temporary Databricks Data Engineer vs Temporary Spark Data Engineer?

AspectTemporary Databricks Data EngineerTemporary Spark Data Engineer
Required SkillsDatabricks platform, Spark, SQL, Python, cloud servicesApache Spark, Scala, Python, SQL, cloud environments
CertificationsDatabricks Certified Data Engineer, cloud certificationsApache Spark certifications, cloud certifications
Work EnvironmentCloud-based Databricks platform, collaborative environmentOn-premises or cloud Spark clusters, flexible environments
Industry UsageData engineering projects leveraging Databricks platformBig data processing using Spark in various environments

While both roles involve Spark and cloud skills, a Temporary Databricks Data Engineer specializes in the Databricks platform, offering integrated tools and collaborative features. A Temporary Spark Data Engineer focuses on Spark core technology, often working in diverse environments. The choice depends on the specific platform and tools used by the employer.

What are the most commonly searched types of Databricks Data Engineer jobs in Oregon?

The most popular types of Databricks Data Engineer jobs in Oregon are:

Temporary Databricks Data Engineer jobs near you

Data Architect Manager

Remote

360training
Education • 201 - 500 employees
Learn more about 360trainingexternal

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 9 days ago

Key responsibilities

  • Lead the design and implementation of modern cloud data-platform capabilities, with a primary focus on Azure-based architecture and delivery.

  • Lead, coach, and develop a team of data engineers while establishing high standards for technical excellence and delivery.

  • Establish practical patterns for ingestion, transformation, data governance, security, testing, and consumption to support various data use cases.

Job description

360training
At 360training, we’re more than an online training provider—we’re on a mission to empower people and organizations to thrive. As a fast-growing leader in online and live training across multiple industries, we deliver regulatory-approved training and certifications that power careers and businesses.
Our culture is grounded in two values: Deliver Results and Do the Right Thing. We operate as a collaborative, performance-driven organization where data plays a critical role in shaping strategy and outcomes. If you’re excited to turn analytics into impact and influence meaningful decisions, 360training is the place for you.
This is a remote position and we are looking to hire in the following states:
AZ, FL, GA, NJ, PA, TN, TX, UT, ID, MI, MO and WI
THERE IS NO VISA SPONSORSHIP FOR THIS ROLE
Role Summary
360training is looking for a hands-on data platform leader to help modernize our data architecture and build the foundation for AI, analytics, and trusted reporting.
This role will help design and deliver a modern cloud data platform, with an emphasis on the Azure ecosystem, while bringing strong experience from modern platforms such as Microsoft Fabric, Databricks, Snowflake, Synapse, AWS, or similar technologies. The right candidate is both technical and practical: someone who can set architecture patterns, guide engineers, improve legacy data environments, and personally dive into implementation details when needed.
This is not a traditional BI reporting role. We need someone who understands modern data platforms, AI-ready data architecture, medallion or lakehouse design patterns, governance, schema evolution, and how to create reliable data products that can support reporting, analytics, applications, data science, and AI-enabled workflows.
Responsibilities
  • Lead the design and implementation of modern cloud data-platform capabilities, with a primary focus on Azure-based architecture and delivery.
  • Lead, coach, and develop a team of data engineers while establishing high standards for technical excellence and delivery
  • Provide technical leadership by making architectural decisions, mentoring engineers, reviewing designs, and driving best practices across the data platform.
  • Establish practical patterns for ingestion, transformation, medallion-style data layers, data quality, lineage, governance, security, testing, and consumption.
  • Build scalable approaches for onboarding new sources, tables, columns, attributes, and acquired-company data without creating brittle one-off solutions.
  • Create governed data products that can support Power BI, analytics, operational reporting, data science, AI search, summarization, predictive analytics, and future agent-based workflows.
  • Move business logic, metric definitions, and reusable transformations into governed, version-controlled platform layers rather than scattered reports, spreadsheets, scripts, or stored procedures.
  • Partner with BI, analytics, engineering, product, finance, and business teams to improve data trust, reporting reliability, platform usability, and delivery speed.
Required Experience
  • 7+ years of experience in data engineering, data architecture, analytics engineering, or cloud data-platform delivery.
  • Experience serving as the technical authority for enterprise data platforms, balancing hands-on delivery with mentoring, design reviews, and long-term architectural direction.
  • Hands-on experience building or modernizing cloud data platforms using Azure, Microsoft Fabric, Databricks, Snowflake, Synapse, AWS, or similar technologies.
  • Strong understanding of lakehouse, medallion, data warehouse, and data modeling patterns, including when dimensional modeling is useful and when it should not drive the entire architecture.
  • Experience with tools such as Azure Data Lake, Azure Data Factory, Microsoft Fabric, Databricks, Synapse, Power BI, Purview, dbt, Snowflake, SQL, Python, Delta Lake, or similar technologies.
  • Practical experience with schema evolution, metadata-driven ingestion, pipeline automation, data quality checks, lineage, security, access control, documentation, and observability.
  • Experience preparing enterprise data for AI-enabled use cases, such as governed data access, semantic consistency, search, summarization, data science, predictive analytics, or agent-based workflows.
  • Strong SQL skills and the ability to design, review, debug, and optimize data pipelines, models, and transformations.
  • Experience improving legacy data environments with complex pipelines, inconsistent definitions, fragmented reporting logic, Power BI dependencies, stored procedures, or manual processes.
  • Ability to lead technical execution while communicating clearly with business and technology stakeholders.
  • Hands-on leadership style with the ability to set standards, guide a small team, and still build, review, troubleshoot, and deliver directly when needed.
We Offer Great Benefits:
  • Competitive salary and annual bonus
  • Flexible time off and company recognized holidays
  • 401k Pension Plan with company match contributions
  • Short-Term and Long-Term Disability
  • Life Insurance- Basic, Voluntary, and AD amp;D
  • Healthcare- Medical, Dental, Vision, and MDLive
  • Flexible spending amp; Health Savings Accounts (HSA)
  • Employee Assistance Program (EAP

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