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Azure Big Data Engineer Jobs in Portland, OR (NOW HIRING)

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

As a Sr. Data Engineer, your primary role will be to design and own the data models that support ... Design and develop scalable, efficient data pipelines using Azure Databricks * Fluent with Python ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

As our Sr. Data Engineer , you'll help drive Concora Credit's Mission to enable customers to Do ... Design and develop scalable, efficient data pipelines using Azure Databricks * Fluent with Python ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

As a Sr. Data Engineer, your primary role will be to design and own the data models that support ... Design and develop scalable, efficient data pipelines using Azure Databricks * Fluent with Python ...

Concora Credit Inc.

Sr. Data Engineer

Beaverton, OR

$119K - $143K/yr

As a Sr. Data Engineer, your primary role will be to design and own the data models that support ... Design and develop scalable, efficient data pipelines using Azure Databricks * Fluent with Python ...

Hp

Print Supplies Big Data Analyst

Vancouver, WA · On-site

$105K - $161K/yr

Print Supplies Big Data Analyst Description - Job Summary We are seeking a highly analytical ... In this role, you will partner closely with data engineers, data scientists, and the supplies ...

Pwc

Data Engineer - Senior Manager

Portland, OR

$124K - $280K/yr

... Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Ohm Systems, Inc

Sr Data Engineer

Beaverton, OR · On-site

$120K - $145K/yr

Implement distributed data processing pipelines using tools and languages prevalent in the big data ... Work with engineering leads and other teams to ensure quality solutions are implemented, and ...

Ohm Systems, Inc

Sr. Data Engineer

Beaverton, OR · On-site

$120K - $145K/yr

... the big data ecosystem · Build utilities, user defined functions, libraries, and frameworks to better enable data flow patterns · Work with engineering leads and other teams to ensure quality ...

Ohm Systems, Inc

Be Seen First

Sr. Data Engineer

Beaverton, OR · On-site

$70 - $75/hr

Implement distributed data processing pipelines using tools and languages prevalent in the big data ... Work with engineering leads and other teams to ensure quality solutions are implemented, and ...

Moda Health

Data Engineer I, II

Portland, OR · On-site +1

$78K - $110K/yr

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 ...

A-dec, Inc.

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 ...

A-dec, Inc.

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 ...

nLIGHT

Temporary Data Engineer

Vancouver, WA · On-site

$45 - $58/hr

We are seeking a Temporary Data Engineer to support analysis and data-driven decision-making within ... Azure SQL. * Experience integrating and transforming data from multiple sources, including on ...

nLIGHT

Temporary Data Engineer

Vancouver, WA

$45 - $58/hr

We are seeking a Temporary Data Engineer to support analysis and data-driven decision-making within ... Azure SQL. * Experience integrating and transforming data from multiple sources, including on ...

A-dec, Inc. (USA)

Data Engineer, Staff

Newberg, OR · On-site

$120 - $180/hr

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 ...

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Showing results 21-40

All JobsAzure Big Data Engineer JobsAzure Big Data Engineer Jobs in Portland, OR

Azure Big Data Engineer information

See Portland, OR salary details

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$66

$93

How much do azure big data engineer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for azure big data engineer in Portland, OR is $66.79, according to ZipRecruiter salary data. Most workers in this role earn between $56.83 and $75.19 per hour, depending on experience, location, and employer.

What does an Azure Big data engineer do?

An Azure Big Data Engineer is responsible for designing, building, and managing big data solutions using Microsoft Azure cloud technologies. They focus on processing large volumes of data, creating data pipelines, and ensuring data is stored and analyzed efficiently. Their work often involves tools such as Azure Data Lake, Azure Databricks, Azure Synapse Analytics, and Azure Data Factory. Azure Big Data Engineers collaborate with data scientists, analysts, and other IT professionals to enable data-driven decision-making within organizations.

What are the key skills and qualifications needed to thrive as an Azure Big data engineer?

To thrive as an Azure Big Data Engineer, you need expertise in data engineering, cloud computing, and programming languages such as Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with Azure Data Services (like Azure Data Lake, Azure Synapse Analytics, and Azure Databricks), as well as certifications like Microsoft Certified: Azure Data Engineer Associate, is highly valuable. Strong analytical thinking, problem-solving, and communication skills help you collaborate effectively with cross-functional teams and translate business needs into technical solutions. These skills and qualities are essential for building scalable, reliable data pipelines that drive business insights and innovation in cloud environments.

What are some common challenges Azure big data engineers face when integrating multiple data sources?

Azure Big Data Engineers often encounter challenges such as ensuring data consistency and quality when integrating disparate data sources like on-premises databases, cloud storage, and third-party APIs. Handling varying data formats and latency issues can also complicate data pipelines. To overcome these challenges, engineers typically use Azure Data Factory for orchestration, implement robust data validation, and collaborate closely with data architects and business analysts to align on integration requirements.

How much do Azure Big Data Engineers make?

Azure Big Data Engineers typically earn between $90,000 and $150,000 annually, depending on experience, location, and certifications such as Azure Data Engineer Associate. Salaries tend to be higher in regions with a strong tech industry and for professionals with advanced skills in cloud services and data processing tools.

Is Azure Big Data Engineer in demand?

Azure Big Data Engineers are in high demand due to the increasing adoption of cloud-based data solutions and the need for expertise in tools like Azure Data Lake, Synapse Analytics, and Spark. Organizations seek professionals skilled in data pipeline development, cloud architecture, and big data processing to support analytics and AI initiatives.

What are popular job titles related to Azure Big Data Engineer jobs in Portland, OR?

For Azure Big Data Engineer jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Azure Big Data Engineer jobs in Portland, OR look for?

The top searched job categories for Azure Big Data Engineer jobs in Portland, OR are:

What cities near Portland, OR are hiring for Azure Big Data Engineer jobs?

Cities near Portland, OR with the most Azure Big Data Engineer job openings:

Azure Big Data Engineer jobs near you

Sr. Data Engineer

Concora Credit Inc.

Beaverton, OR • On-site

$119K - $143K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

Concora Credit rating

7.8

Company rating: 7.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

Overview
As our Sr. Data Engineer, you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day.
The impact you'll have at Concora Credit:
As a Sr. Data Engineer, your primary role will be to design and own the data models that support reporting and analysis across the organization - dimensional schemas, foundational data marts, and key data structures.
These models are informed by data-driven analysis of business performance and improvement opportunities. You will also build the engineering around those models: data pipeline architecture, data flows, data transformations, and clear documentation.
You'll join our Analytics Engineering team and partner with data owners and users to build, problem-solve, and optimize the data structures other teams rely on.
We hire people, not positions. That's because, at Concora Credit, we put people first, including our customers, partners, and Team Members. Concora Credit is guided by a single purpose: to help non-prime customers do more with credit. Today, we have helped millions of customers access credit. Our industry leadership, resilience, and willingness to adapt ensure we can help our partners responsibly say yes to millions more. As a company grounded in entrepreneurship, we're looking to expand our team and are looking for people who foster innovation, strive to make an impact, and want to Do More! We're an established company with over 20 years of experience, but now we're taking things to the next level. We're seeking someone who wants to impact the business and play a pivotal role in leading the charge for change.
Responsibilities
As our Sr. Data Engineer, you will:
  • Design and maintain foundational data marts and dimensional data models (star and snowflake schemas, fact and dimension tables) and that serve as a durable, reusable foundation for analytics and management reporting.
  • Define data grain, key structures, and slowly changing dimension (SCD) strategies so data marts stay accurate and reliable as the underlying business changes.
  • Create and manage large, complex data sets that meet business requirements and inform critical decision-making across the organization.
  • Create and maintain optimal data pipeline architecture, including optimal extraction, transformation, and loading of data, leveraging Databricks notebooks, Apache Spark (SQL, Python), and other Microsoft Azure or open-source tools as required.
  • Document data models, transformation logic, and data lineage clearly enough that analysts and engineers outside the team can understand and trust the data without relying on the original author.
  • Analyze business performance, identify improvement opportunities, deliver recommendations, and manage implementation.
  • Perform all duties and responsibilities, leveraging strong quantitative, critical thinking, and communication skills.
  • Effectively communicate analytical approaches, relevant findings, and recommendations with supporting evidence throughout the organization.
  • Perform ad-hoc queries to support analysis.
  • Work with stakeholders to interpret, research, and resolve data-related technical issues and support their data infrastructure needs.

These duties must be performed with or without reasonable accommodation.
We know experience comes in many forms and that many skills are transferable. If your experience is close to what we're looking for, consider applying. Diversity has made us the entrepreneurial and innovative company that we are today.
Qualifications
Requirements:
  • 3 to 5 years of experience in data engineering, with a strong focus on dimensional data modeling and building data marts or warehouses for analytics.
  • Demonstrated ability to design data structures for reuse and longevity (correct grain, key design, slowly changing dimensions), not just to answer a single reporting request.
  • Collaborate with analysts, data scientists, and business stakeholders in Risk, Operations and Finance to understand data needs and deliver reliable, reusable datasets
  • Strong ability to write and optimize complex SQL queries.
  • Design and develop scalable, efficient data pipelines using Azure Databricks
  • Fluent with Python scripting.
  • Optimize performance and cost efficiency across large-scale distributed data systems
  • Monitor, troubleshoot, and optimize existing pipelines and infrastructure to ensure reliability and scalability
  • Excellent problem solver, disciplined attention to detail, great communicator.
  • Strong quantitative skills and communication skills - verbal and written.
  • Self-starter with the ability to work independently or in a team.
  • Experience with Databricks is preferred
  • Bachelor's degree in Economics, Business, Mathematics, Computer Science, MIS or related field or equivalent experience.

What's In It For You:
  • Medical, Dental and Vision insurance for you and your family
  • Relax and recharge with Paid Time Off (PTO)
  • 6 company-observed paid holidays, plus 3 paid floating holidays
  • 401k (after 90 days) plus employer match up to 4%
  • Pet Insurance for your furry family members
  • Wellness perks including onsite fitness equipment at both locations, EAP, and access to the Headspace App
  • We invest in your future through Tuition Reimbursement
  • Save on taxes with Flexible Spending Accounts
  • Peace of mind with Life and AD&D Insurance
  • Protect yourself with company-paid Long-Term Disability and voluntary Short-Term Disability

Concora Credit provides equal employment opportunities to all Team Members and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Employment-based visa sponsorship is not available for this role.
Concora Credit is an equal opportunity employer (EEO).
Please see the Concora Credit Privacy Policy for more information on how Concora Credit processes your personal information during the recruitment process and, if applicable, based on your location, how you can exercise your privacy rights. If you have questions about this privacy notice or need to contact us in connection with your personal data, including any requests to exercise your legal rights referred to at the end of this notice, please contact caprivacynotice@concoracredit.com.

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