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Flexible Databricks Data Engineer Jobs in Oregon

Data Engineer - Databricks

Beaverton, OR

$119K - $143K/yr

Data Engineer - Databricks Location: Beaverton, OR - Hybrid (3 Days Onsite) Contract-to-Hire Job Overview We are seeking an experienced Data Engineer with strong Databricks expertise to design ...

New

Data Engineer - Databricks

Beaverton, OR · On-site

$119K - $143K/yr

Company Description Data Engineer - Databricks Location: Beaverton, OR - Hybrid (3 Days Onsite) Contract-to-Hire Job Overview We are seeking an experienced Data Engineer with strong Databricks ...

New

Data Engineer - Databricks

Beaverton, OR

$119K - $143K/yr

Data Engineer - Databricks Location: Beaverton, OR - Hybrid (3 Days Onsite) Contract-to-Hire Job Overview We are seeking an experienced Data Engineer with strong Databricks expertise to design ...

New

Lead Databricks Data Security Engineer

OR · On-site +1

$142K - $213K/yr

Northrop Grumman is seeking a Lead Databricks Data Security Engineer to lead the design, implementation, and governance of access control across our Databricks Lakehouse environment. This role will ...

Posted today

Lead Data Engineer- Databricks

Beaverton, OR · On-site

$119K - $143K/yr

No of Years -14+ Years * 14+ years of IT experience with 10+ years in Data Engineering. * Mandatory hands-on experience in Databricks (PySpark, Spark SQL, Delta Lake). * Customer Management including ...

New

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

We are seeking a Data Engineer with deep expertise in Azure, Databricks, Python, SQL, and ... Save on taxes with Flexible Spending Accounts * Peace of mind with Life and AD&D Insurance

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

We are seeking a Data Engineer with deep expertise in Azure, Databricks, Python, SQL, and ... Save on taxes with Flexible Spending Accounts * Peace of mind with Life and AD&D Insurance

Data Engineer - Senior Manager

Portland, OR · On-site

$124K - $280K/yr

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Sr. Data Engineer

Beaverton, OR · On-site

$40 - $45/hr

Mandatory hands-on experience in Databricks (PySpark, Spark SQL, Delta Lake). * Strong programming skills in Python and SQL. * Experience building scalable ETL/ELT pipelines and data engineering ...

New

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Databricks AWS Apache Spark Python PySpark Previous Clients experience a plus. Any ETWs let go at the end of 05/31 can be considered since a 90 day break would be fulfilled. Skills Data engineer ...

Data Engineer 5

Beaverton, OR · On-site

$70 - $78/hr

Data Engineer Location: Beaverton, OR - Hybrid (4 days onsite / 1 day remote per week) Duration ... Build and enhance data solutions, tools, and new data products using Databricks, Spark, Python ...

Databricks Lead/Architect

Portland, OR · On-site

$58.50 - $80.25/hr

Bachelor's or Master's degree in Computer Science, Data Engineering, or a related quantitative ... Databricks Certified Data Engineer (Associate or Professional) and/or Azure Data Engineer Associate ...

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Experience with Databricks is preferred * Bachelor's degree in Economics, Business, Mathematics ... Save on taxes with Flexible Spending Accounts * Peace of mind with Life and AD&D Insurance

Senior Data Engineer

OR · On-site +1

$142K - $160K/yr

The ideal candidate has deep expertise in Databricks, Apache Spark, Delta Lake, and modern Lakehouse architecture, with strong experience designing enterprise-grade data engineering solutions. What ...

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Experience with Databricks is preferred * Bachelor's degree in Economics, Business, Mathematics ... Save on taxes with Flexible Spending Accounts * Peace of mind with Life and AD&D Insurance

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Flexible Databricks Data Engineer information

What is the difference between Flexible Databricks Data Engineer vs Cloud Data Engineer?

AspectFlexible Databricks Data EngineerCloud Data Engineer
CredentialsProficiency in Databricks, Spark, SQL, Python, cloud platforms (AWS, Azure, GCP)Cloud platform certifications (AWS, Azure, GCP), SQL, Python, data pipeline skills
Work EnvironmentData engineering within Databricks environment, collaborative teams, cloud infrastructureDesigning and managing data solutions on cloud platforms, often across multiple services
Industry UsageTech, finance, healthcare, retail using Databricks for big data processingBroad industry use, focusing on cloud infrastructure and data pipelines

Flexible Databricks Data Engineers specialize in building data pipelines within the Databricks platform, leveraging Spark and cloud services. Cloud Data Engineers focus on designing and maintaining data solutions across various cloud environments. Both roles require cloud and SQL skills, but the Databricks Data Engineer emphasizes Databricks-specific tools and Spark expertise.

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:

Data Engineer - Databricks

Beaverton, OR

BuzzClan LLC
IT Services • 11 - 50 employees

$119K - $143K/yr

Contractor

Posted 2 days ago

New


Job description

Job Description

Data Engineer – Databricks
Location: Beaverton, OR - Hybrid (3 Days Onsite)
Contract-to-Hire

Job Overview

We are seeking an experienced Data Engineer with strong Databricks expertise to design, develop, and maintain scalable enterprise data pipelines and data engineering solutions. The ideal candidate will have hands-on experience with Databricks, PySpark, Spark SQL, Delta Lake, Python, and SQL, along with experience in cloud platforms and modern data engineering practices.

Candidates must be local to or able to work onsite in Beaverton, Oregon 3 days per week.

Key Responsibilities

  • Design, develop, and maintain scalable ETL/ELT data pipelines and enterprise data solutions.
  • Develop and optimize data processing solutions using Databricks, PySpark, Spark SQL, and Delta Lake.
  • Build reliable and high-performance data pipelines using Python and SQL.
  • Implement data integration and transformation processes across various enterprise data sources.
  • Work with cloud platforms such as Azure, AWS, or GCP, with preference for Azure.
  • Develop and manage data workflows using orchestration tools such as Azure Data Factory (ADF) and/or Apache Airflow.
  • Apply data modeling, data warehousing, and performance optimization best practices.
  • Implement data quality, scalability, reliability, and performance improvements across data platforms.
  • Use Git, CI/CD, and DevOps practices to support automated and reliable data deployments.
  • Collaborate with business stakeholders, data architects, developers, and other cross-functional teams to deliver enterprise data solutions.
  • Troubleshoot complex data pipeline and processing issues and provide effective technical solutions.
  • Contribute to modern Databricks capabilities such as Delta Live Tables (DLT), Unity Catalog, and Structured Streaming where applicable.
Qualifications

Required Skills

  • 6+ years of overall IT experience, including 5+ years of Data Engineering experience.
  • Strong hands-on experience with Databricks.
  • Strong expertise in PySpark, Spark SQL, and Delta Lake.
  • Strong programming skills in Python and SQL.
  • Proven experience building scalable ETL/ELT pipelines.
  • Experience with Azure, AWS, or GCP, preferably Azure.
  • Experience with Azure Data Factory (ADF) and/or Airflow.
  • Strong understanding of data modeling and data warehousing.
  • Experience with data pipeline and query performance optimization.
  • Hands-on experience with Git, CI/CD, and DevOps practices.
  • Strong analytical, problem-solving, collaboration, and communication skills.

Preferred Skills

  • Delta Live Tables (DLT)
  • Unity Catalog
  • Structured Streaming
  • Azure cloud data services
  • Experience working with large-scale enterprise data platforms.

Additional Information

All your information will be kept confidential according to EEO guidelines.