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Contract Databricks Data Engineer Jobs in Portland, OR

The Associate Data Center Hardware Engineer is a hands-on technical role focused on ensuring the ... In addition to performing direct repair work, the role partners with vendors, mentors contract ...

New

The Associate Data Center Hardware Engineer is a hands-on technical role focused on ensuring the ... In addition to performing direct repair work, the role partners with vendors, mentors contract ...

Senior Software Engineer

Beaverton, OR · On-site

$127K - $168K/yr

... Databricks • Apache Spark • Deep Learning Frameworks (TensorFlow, PyTorch) • Lakehouse architecture • Large-Scale Data Preprocessing • Programming (Python, SQL, C++) • LLM Models ...

... Contract Staffing (Staff Augmentation) Permanent Placement (Staff Augmentation) ICAP (Contractor ... and Multimedia programmer Quantitative research Unstructured data analysis Natural language ...

... data engineering expertise to build pipelines for structure and non-structure data and design databases using tools such as Databricks, Snowflake, NoSQL, and Vector databases in a Retrieval Augmented ...

Cloud/data: Azure (ACI, ACR, AKS), Databricks, Kafka, Unity Catalog, REST/OpenAPI * Dev tooling: VSCode, Claude Code, GitHub Copilot, GitHub Actions, Docker, Azure DevOps * Frontend: React, Vite ...

Cloud/data: Azure (ACI, ACR, AKS), Databricks, Kafka, Unity Catalog, REST/OpenAPI * Dev tooling: VSCode, Claude Code, GitHub Copilot, GitHub Actions, Docker, Azure DevOps * Frontend: React, Vite ...

... Contract Staffing (Staff Augmentation) Permanent Placement (Staff Augmentation) ICAP (Contractor ... Information Systems, Engineering - Experience extracting and manipulating data from multiple ...

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Contract Databricks Data Engineer information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

How much do contract databricks data engineer jobs pay per year?

As of Jul 18, 2026, the average yearly pay for contract databricks data engineer in Portland, OR is $137,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $145,800.00 per year, depending on experience, location, and employer.

What are some common challenges faced by contract Databricks Data Engineers when integrating data from multiple sources?

As a contract Databricks Data Engineer, you'll often encounter challenges related to integrating diverse data sources, such as on-premises databases, cloud storage, and APIs. These challenges may include handling inconsistent data formats, managing data quality, and ensuring secure data transfers. Additionally, adapting to clients' unique data architectures and optimizing ETL pipelines for performance in a cloud environment are common tasks. Collaboration with data scientists, analysts, and other engineers is critical to ensure data is both accessible and reliable for downstream analytics and machine learning.

What are Contract Databricks Data Engineers?

Contract Databricks Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data infrastructure using Databricks, a unified analytics platform. They typically work with big data tools, cloud environments, and programming languages like Python or Scala to process and analyze large datasets. Their responsibilities often include developing data pipelines, optimizing data workflows, and collaborating with data scientists and analysts to support business objectives. Because they are contractors, their roles can vary by project and organization, offering flexibility and specialized expertise.

What are the key skills and qualifications needed to thrive as a Contract Databricks Data Engineer, and why are they important?

To excel as a Contract Databricks Data Engineer, you need strong experience in data engineering, SQL, Spark, and cloud platforms, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, Python or Scala, and cloud services like AWS or Azure is typically required, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you work effectively in dynamic, project-based environments. These competencies ensure the efficient design and implementation of scalable data solutions, driving business insights and project success.
What are the most commonly searched types of Databricks Data Engineer jobs in Portland, OR? The most popular types of Databricks Data Engineer jobs in Portland, OR are:
What are popular job titles related to Contract Databricks Data Engineer jobs in Portland, OR? For Contract Databricks Data Engineer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Contract Databricks Data Engineer jobs in Portland, OR look for? The top searched job categories for Contract Databricks Data Engineer jobs in Portland, OR are:
Associate Engineer, Data Center

Associate Engineer, Data Center

LinkedIn

Hillsboro, OR

$74K - $122K/yr

Full-time

Posted 3 days ago

New


LinkedIn rating

9.3

Company rating: 9.3 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies


Job description

Company Description

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed.

Join us to transform the way the world works.

Job Description

This role will be based in Hillsboro, OR. 

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is on-site, meaning it will be performed in the specified office on a full-time basis due to the business needs of the team.

This role may require working evening or overnight shifts (3:00 PM - 12:00 AM or 11:00 PM - 8:00 AM).

The Associate Data Center Hardware Engineer is a hands-on technical role focused on ensuring the reliability and performance of LinkedIn's global infrastructure. This position is responsible for executing hardware break-fix activities, providing advanced troubleshooting support, and serving as an escalation point for contracted data center technicians. In addition to performing direct repair work, the role partners with vendors, mentors contract staff, and drives consistency in service delivery across all LinkedIn data center operations.

Responsibilities:

  • Perform break-fix repairs, including but not limited to replacing failed drives, DIMMs, fans, power supplies, and other server or network hardware components.
  • Troubleshoot and resolve escalated issues from contracted technicians, applying diagnostics and escalating unresolved issues to Data Center Hardware Engineers or LinkedIn engineering teams as needed.
  • Instal new SSD's and NVME's into existing servers.
  • Conduct basic Linux OS and IPMI-level troubleshooting across all server platforms
  • Assist LinkedIn engineers with troubleshooting and resolving autobuild (Linux Kickstart) failures, including - straggler- nodes.
  • Diagnose and resolve physical-layer network connectivity issues.
  • Execute hardware installations and repairs outside the scope of planned quarterly organic growth projects.
  • Actively monitor and engage with the Jira ticket queue, ensuring proper ticket handling and quality resolution by contracted data center technicians.
  • Participate in onboarding new contracted data center technicians, including training on daily operational tasks.
  • Serve as a technical mentor for contracted data center technicians, providing training and guidance to improve quality and consistency.
  • Participate in an on-call rotation to support global data center operations.
Qualifications

Basic Qualifications:

  • 1+ years in a Data Center Engineering Role
  • 1+ years of Linux troubleshooting experience
  • 1+ years of server hardware troubleshooting experience

Preferred Qualifications:

  • Bachelor's Degree or equivalent industry experience.
  • 2+ years in a Data Center Engineering Role
  • 2+ years Linux troubleshooting experience.
  • 2+ years server hardware troubleshooting experience.

Suggested Skills:

  • Hardware Deployment & Installation
  • Project Management
  • Ticketing Systems (Jira, ServiceNow)
  • Linux/Unix
  • Server and Network Troubleshooting
Additional Information

LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $74,000 to $122,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.

Equal Opportunity Statement 

We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation.

Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

  • Documents in alternate formats or read aloud to you
  • Having interviews in an accessible location
  • Being accompanied by a service dog
  • Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.

Pay Transparency Policy Statement

As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

Global Data Privacy Notice for Job Candidates

Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.

Equal Opportunity Statement 

We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation.
Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36

Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

  • Documents in alternate formats or read aloud to you
  • Having interviews in an accessible location
  • Being accompanied by a service dog
  • Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.

San Francisco Fair Chance Ordinance

Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.

Pay Transparency Policy Statement

As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

Global Data Privacy Notice and Compliance Posters for Job Candidates 

Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.


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