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Contract Azure Data Engineer Jobs in Oregon (NOW HIRING)

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Senior Data Engineer

Portland, OR · Remote

$112K - $152K/yr

Retrieve data from cloud applications using Azure SQL and build a centralized data lake integrating ... This position description does not constitute a written or implied contract of employment.

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Position Summary The Data Engineer role on the Data Science Team (DST) is responsible for designing ... Exposure to DevOps practices using tools such as Azure DevOps (CI/CD, work item tracking, GIT ...

... and Azure Data Factory to enhance data engineering capabilities - Applying data architecture development and database management skills to optimize data solutions - Leveraging Apache Airflow and ...

Data Architect

OR · Remote

$153K - $170K/yr

Architects at Elite are hands-on, working with the engineering teams to deliver products to market ... The ideal candidate will have extensive experience with Azure services and a strong background in ...

$114K - $137K/yr

The Data Quality Engineer plays a critical role in that mission by ensuring the data that powers ... Hands-on experience with Azure services including Azure OpenAI, Azure Machine Learning, and Azure ...

... engineering, or cloud data-platform delivery. * Hands-on experience building or modernizing cloud data platforms using Azure, Microsoft Fabric, Databricks, Snowflake, Synapse, AWS, or similar ...

OR · On-site

$114K - $137K/yr

We are seeking a Looker Data Engineer for a project-based assignment to support a key client ... Contract * Applicants must be authorized to work for ANY employer in the U.S. We are unable to ...

Data Architect

Portland, OR

$67.50 - $87/hr

Azure Data Engineer Associate (DP-203) * Enterprise architecture or data governance certifications a plus * Enterprise data architecture and analytics platform design * Microsoft Fabric and cloud ...

Data Architect

Portland, OR · On-site

$67.50 - $87/hr

Azure Data Engineer Associate (DP-203) * Enterprise architecture or data governance certifications a plus * Enterprise data architecture and analytics platform design * Microsoft Fabric and cloud ...

Data Architect

Portland, OR · On-site

$67.50 - $87/hr

Azure Data Engineer Associate (DP-203) * Enterprise architecture or data governance certifications a plus * Enterprise data architecture and analytics platform design * Microsoft Fabric and cloud ...

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and ... Experience with Azure environment * Experience developing cloud data warehouses (e.g. Snowflake or ...

... data engineering experience in a production environment * Strong SQL skills: complex stored ... Familiarity with Azure Blob Storage or equivalent object storage for ETL staging workflows ...

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Contract Azure Data Engineer information

What is the difference between Contract Azure Data Engineer vs Contract Data Engineer?

AspectContract Azure Data EngineerContract Data Engineer
CertificationsAzure Data Engineer Associate, cloud certificationsGeneral data engineering certifications, such as Google Cloud or AWS certifications
Work EnvironmentPrimarily cloud-based, Azure platformCloud or on-premises, varies by employer
Industry UsageOrganizations using Microsoft AzureOrganizations using various cloud providers or on-premises data solutions
Search IntentComparing roles focused on Azure cloud data solutionsBroader data engineering roles across platforms

The Contract Azure Data Engineer specializes in building and managing data solutions within the Azure cloud platform, often requiring specific Azure certifications. In contrast, the Contract Data Engineer has a broader scope, working across multiple cloud providers or on-premises environments. The Azure-focused role is ideal for those targeting Azure-centric projects, while the general Data Engineer role offers flexibility across different platforms.

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

To thrive as a Contract Azure Data Engineer, you need strong expertise in data engineering concepts, SQL, ETL processes, and a solid understanding of Azure cloud services, typically supported by a relevant degree or certifications like Microsoft Certified: Azure Data Engineer Associate. Familiarity with tools such as Azure Data Factory, Azure Synapse Analytics, Databricks, and Power BI is commonly required. Excellent problem-solving skills, effective communication, and the ability to work independently are standout soft skills in this role. These skills ensure efficient data pipeline development, seamless integration with cloud systems, and successful project delivery in dynamic contract environments.

What types of projects and team structures can a Contract Azure Data Engineer expect to work with?

As a Contract Azure Data Engineer, you will typically work on projects centered around data migration, data warehousing, or the implementation of cloud-based analytics solutions using Microsoft Azure. You may be embedded within cross-functional teams that include data architects, analysts, and software engineers, often collaborating closely to deliver solutions under tight deadlines. The contract nature of the role means you might be brought in to address specific technical challenges or to accelerate ongoing projects, so adaptability and strong communication skills are highly valued. This role often provides exposure to diverse industries and the opportunity to quickly expand your professional network.

What are Contract Azure Data Engineers?

Contract Azure Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data solutions using Microsoft Azure's cloud services. They specialize in creating data pipelines, integrating various data sources, and ensuring data is stored, processed, and made available efficiently in the Azure environment. These engineers often work with tools like Azure Data Factory, Azure Synapse Analytics, and Azure Databricks. Their role is critical for organizations needing scalable, secure, and reliable data infrastructure in the cloud.
What are the most commonly searched types of Azure Data Engineer jobs in Oregon? The most popular types of Azure Data Engineer jobs in Oregon are:
What are popular job titles related to Contract Azure Data Engineer jobs in Oregon? For Contract Azure Data Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Contract Azure Data Engineer jobs in Oregon look for? The top searched job categories for Contract Azure Data Engineer jobs in Oregon are:
What cities in Oregon are hiring for Contract Azure Data Engineer jobs? Cities in Oregon with the most Contract Azure Data Engineer job openings:
GenAI Python Systems Engineer-Manager

GenAI Python Systems Engineer-Manager

Pwc

Portland, OR

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 18 hours ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

20th of 58 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Analyse and identify the linkages and interactions between the component parts of an entire system.
Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
Develop skills outside your comfort zone, and encourage others to do the same.
Effectively mentor others.
Use the review of work as an opportunity to deepen the expertise of team members.
Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Data and Analytics Engineering team, you lead the development and implementation of data architecture strategies that align with business needs. As a Manager, you guide and mentor your team, delivering top-quality solutions while leveraging team strengths and managing performance to meet client expectations. You play a crucial role in collaborating with stakeholders, enhancing cloud resources, and embracing technology and innovation to improve data architecture and integration solutions.
Responsibilities
- Lead the design and execution of data architecture strategies that support business objectives
- Mentor and guide team members to deliver exceptional solutions
- Utilize team strengths to manage performance and fulfill client requirements
- Collaborate with stakeholders to enhance cloud resources effectively
- Drive innovation and technology adoption to advance data integration solutions
- Foster a culture of continuous improvement and learning within the team
- Uphold the firm's ethical standards and business conduct
- Implement strategic planning to achieve project success and quality outcomes
What You Must Have
- Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics
- 5 years of experience
What Sets You Apart
- Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus
- Proficient in Python and SQL
- Experience with Docker and containerized deployments
- Skilled in AI techniques enhancing LLMs
- Experience in prompt engineering for LLM optimization
- Implementing data integration solutions using AWS, Azure, GCP
- Utilizing AWS CloudFormation, Azure Resource Manager, Terraform
- Building and deploying DevOps pipelines with cloud services
- Enhancing cloud resources for cost and performance

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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