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Contract Databricks Data Engineer Jobs in Portland, OR

Pwc

Data Governance- Manager

Portland, OR

$99K - $232K/yr

... Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $99,000 - $232,000. Actual compensation within the ...

Nike

Software Engineer

Beaverton, OR · On-site

Use Databricks Catalog for Data Governance and Lineage Tracking; Real-time Change Data Capture ... data engineering from ingestion, transformation, and consumption in addition to designing and ...

WIZELINE

Senior Data Architect

Beaverton, OR · On-site

$70 - $93.75/hr

... Databricks, Snowflake and Hive bigdata implementations to support data, BI Analytics and AI/ML ... Work with engineering squads to create physical data designs and business rule implementation

Hp

Big Data Laser Analyst

Vancouver, WA

You will partner closely with data engineers and data scientists to improve data reliability ... Familiar with VSCode and Databricks Ideally Ability to interpret telemetry and pipeline outputs in ...

Concora Credit Inc.

Data Scientist

Beaverton, OR · On-site

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... Hands on experience with Python, Spark SQL, XGBoost, and Databricks a plus * Strong Programming ...

Concora Credit Inc.

Data Scientist

Beaverton, OR

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... Hands on experience with Python, Spark SQL, XGBoost, and Databricks a plus * Strong Programming ...

Concora Credit Inc.

Data Scientist

Beaverton, OR

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... Hands on experience with Python, Spark SQL, XGBoost, and Databricks a plus * Strong Programming ...

Concora Credit Inc.

Data Scientist

Beaverton, OR

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... Hands on experience with Python, Spark SQL, XGBoost, and Databricks a plus * Strong Programming ...

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All JobsContract Databricks Data Engineer JobsContract Databricks Data Engineer Jobs in Portland, OR

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.
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Contract Databricks Data Engineer jobs near you
Finance Operate - Manager, Integration & Data Lead

Finance Operate - Manager, Integration & Data Lead

Deloitte

Portland, OR • On-site

Other

Re-posted yesterday

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

59th of 148 rated financial services

Job description

Step into a role where you'll help shape the future of finance. As part of our Finance Transformation team, you'll collaborate with CFOs, finance leaders, and executive clients to solve their most complex challenges. Leveraging Deloitte's unmatched resources and deep industry insights, you'll deliver innovative, market-driven solutions that modernize finance functions, elevate performance, and drive meaningful organizational change. Join us to empower clients to become strategic business partners, manage risk, and unlock new levels of financial and operational excellence.

Recruiting for this role ends on 09/30/2026.

As a Manager and Integration & Data Lead within our Finance Transformation Tech Enablement team, you will own data architecture and integration strategy for the Finance Operate Platform. You will serve as the primary point of authority on data pipelines, integration design, compliance, and governance-translating platform requirements into scalable, secure, and audit-ready technical solutions. This role requires US-based proximity to support client contract and compliance decisions. 

Work You Will Do 

Data Architecture & Integration Strategy 

  • Own the end-to-end integration and data architecture across Finance Operate Platform layers, including source ingestion, ETL/ELT, transformation, quality controls, and consumption. 
  • Define and govern integration patterns (APIs, events, queues, batch) and data contracts between Offering delivery portal, accelerators, Consulting delivery platform, and client ERP/subledger systems. 
  • Lead platform decisions on data tooling (Databricks vs. Alteryx vs. other) based on use case, scale, governance requirements, and cost-to-value. 
  • Design and oversee the Consulting delivery platform Agentic Layer data readiness pipeline (Phase 1: ETL, data validation, triage, and remediation). 

Execution Leadership & Client Engagement 

  • Serve as primary data and integration liaison for client contract and compliance discussions requiring onshore proximity. 
  • Collaborate with offshore Data Engineers and Solution Architect to deliver against integration roadmap. 
  • Manage risks related to data quality, security, lineage, and have familiarity with regulatory compliance (including SOX relevance). 
  • Define non-functional requirements for integration solutions: performance, resiliency, security, and auditability. 

Standards & Governance 

  • Establish data governance frameworks, data quality standards, and integration guardrails for reuse across sub-offerings. 
  • Specify BI consumption patterns, metrics definitions, and data lineage documentation standards. 
  • Ensure all integration designs meet enterprise security, compliance, and privacy expectations. 

Team Development 

  • Mentor and guide Data Engineers and Integration Engineers across Offshore teams. 
  • Champion Agile delivery practices; lead sprint planning and technical review for integration workstreams. 

The team

Our Finance Operate offering provides ongoing operation of the Finance function as an extension of Deloitte's Finance Transformation Advise and Implement offering portfolio. The team works across finance strategy, process, operations, and technology to help organizations enable scalable finance outcomes. Professionals in this practice support delivery in complex environments while helping clients advance modernization across Finance Operate capabilities.

Qualifications

Required

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field. 
  • 7+ years of experience in data architecture, integration design, or data engineering in an enterprise environment. 
  • Demonstrated hands-on experience designing end-to-end data pipelines and integration architectures. 
  • Strong grasp of API design, microservices, event-driven patterns, and enterprise integration concepts. 
  • Experience with cloud-based data platforms (Azure, AWS, or GCP) and associated data services. 
  • Familiarity with compliance and governance frameworks relevant to finance operations (e.g., SOX controls, data privacy). 
  • Excellent communication and stakeholder management skills; ability to translate technical architecture into business-oriented recommendations. 
  • Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred

  • Hands-on experience with Databricks (pipeline design, Delta Lake, operationalization) and/or Alteryx. 
  • Knowledge of ServiceNow integration capabilities and workflow data flows. 
  • Experience in a managed services or Finance Operate context. 
  • Finance domain knowledge across Record-to-Report, Treasury, or FP&A processes. 
  • Cloud certifications (Azure Data Engineer, AWS Data Analytics, or equivalent). 

 The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $128,000-$252,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Step into a role where you'll help shape the future of finance. As part of our Finance Transformation team, you'll collaborate with CFOs, finance leaders, and executive clients to solve their most complex challenges. Leveraging Deloitte's unmatched resources and deep industry insights, you'll deliver innovative, market-driven solutions that modernize finance functions, elevate performance, and drive meaningful organizational change. Join us to empower clients to become strategic business partners, manage risk, and unlock new levels of financial and operational excellence.

Recruiting for this role ends on 09/30/2026.

As a Manager and Integration & Data Lead within our Finance Transformation Tech Enablement team, you will own data architecture and integration strategy for the Finance Operate Platform. You will serve as the primary point of authority on data pipelines, integration design, compliance, and governance-translating platform requirements into scalable, secure, and audit-ready technical solutions. This role requires US-based proximity to support client contract and compliance decisions. 

Work You Will Do 

Data Architecture & Integration Strategy 

  • Own the end-to-end integration and data architecture across Finance Operate Platform layers, including source ingestion, ETL/ELT, transformation, quality controls, and consumption. 
  • Define and govern integration patterns (APIs, events, queues, batch) and data contracts between Offering delivery portal, accelerators, Consulting delivery platform, and client ERP/subledger systems. 
  • Lead platform decisions on data tooling (Databricks vs. Alteryx vs. other) based on use case, scale, governance requirements, and cost-to-value. 
  • Design and oversee the Consulting delivery platform Agentic Layer data readiness pipeline (Phase 1: ETL, data validation, triage, and remediation). 

Execution Leadership & Client Engagement 

  • Serve as primary data and integration liaison for client contract and compliance discussions requiring onshore proximity. 
  • Collaborate with offshore Data Engineers and Solution Architect to deliver against integration roadmap. 
  • Manage risks related to data quality, security, lineage, and have familiarity with regulatory compliance (including SOX relevance). 
  • Define non-functional requirements for integration solutions: performance, resiliency, security, and auditability. 

Standards & Governance 

  • Establish data governance frameworks, data quality standards, and integration guardrails for reuse across sub-offerings. 
  • Specify BI consumption patterns, metrics definitions, and data lineage documentation standards. 
  • Ensure all integration designs meet enterprise security, compliance, and privacy expectations. 

Team Development 

  • Mentor and guide Data Engineers and Integration Engineers across Offshore teams. 
  • Champion Agile delivery practices; lead sprint planning and technical review for integration workstreams. 

The team

Our Finance Operate offering provides ongoing operation of the Finance function as an extension of Deloitte's Finance Transformation Advise and Implement offering portfolio. The team works across finance strategy, process, operations, and technology to help organizations enable scalable finance outcomes. Professionals in this practice support delivery in complex environments while helping clients advance modernization across Finance Operate capabilities.

Qualifications

Required

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field. 
  • 7+ years of experience in data architecture, integration design, or data engineering in an enterprise environment. 
  • Demonstrated hands-on experience designing end-to-end data pipelines and integration architectures. 
  • Strong grasp of API design, microservices, event-driven patterns, and enterprise integration concepts. 
  • Experience with cloud-based data platforms (Azure, AWS, or GCP) and associated data services. 
  • Familiarity with compliance and governance frameworks relevant to finance operations (e.g., SOX controls, data privacy). 
  • Excellent communication and stakeholder management skills; ability to translate technical architecture into business-oriented recommendations. 
  • Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred

  • Hands-on experience with Databricks (pipeline design, Delta Lake, operationalization) and/or Alteryx. 
  • Knowledge of ServiceNow integration capabilities and workflow data flows. 
  • Experience in a managed services or Finance Operate context. 
  • Finance domain knowledge across Record-to-Report, Treasury, or FP&A processes. 
  • Cloud certifications (Azure Data Engineer, AWS Data Analytics, or equivalent). 

 The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $128,000-$252,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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