ZipRecruiter

Log In

1

Manager Data Analytics Engineer Jobs in Portland, OR

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 ... analytics and management reporting. * Define data grain, key structures, and slowly changing ...

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 ... analytics and management reporting. * Define data grain, key structures, and slowly changing ...

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 ... analytics and management reporting. * Define data grain, key structures, and slowly changing ...

Pwc

GenAI Python Systems Engineer-Director

Portland, OR · On-site

$155K - $410K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Pwc

GenAI Python Systems Engineer-Manager

Portland, OR · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Procom Consultants Group

Data Analyst

Hillsboro, OR

... programmer Quantitative research Unstructured data analysis Natural language processing Equipment utilization analysis Supply/Demand analysis Inventory level optimization Supply management and ...

Hp

Big Data Laser Analyst

Vancouver, WA · On-site

Typically has 4-7 years of work experience, preferably in data analytics, database management ... Preferred Certifications Programming Language/s Certification (SQL, Python, or similar) Knowledge ...

Russell, Tobin & Associates

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 ... Develop solutions that support analytics, profitability, and margin improvement. * Partner with ...

Procom Consultants Group

Data Analyst

Hillsboro, OR · On-site

... Information Systems, Engineering - Experience extracting and manipulating data from multiple ... Management experience - 2+ years experience with Web Analytics tools such as Adobe Omniture, Web ...

Pwc

AI & GenAI Data Scientist - Manager

Portland, OR · On-site

$99K - $232K/yr

... data analysis and integration to support AI-driven initiatives - Utilizing programming languages ... Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ...

BuzzClan LLC

Data Engineer - Databricks

Beaverton, OR · On-site

$119K - $143K/yr

Develop and manage data workflows using orchestration tools such as Azure Data Factory (ADF) and/or ... Strong analytical, problem-solving, collaboration, and communication skills. Preferred Skills

previous page

Showing results 41-60

All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Portland, OR

Manager Data Analytics Engineer information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

How much do manager data analytics engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for manager data analytics 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 is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a manager data analytics engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

What are the most commonly searched types of Data Analytics Engineer jobs in Portland, OR?

The most popular types of Data Analytics Engineer jobs in Portland, OR are:

What are popular job titles related to Manager Data Analytics Engineer jobs in Portland, OR?

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

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

The top searched job categories for Manager Data Analytics Engineer jobs in Portland, OR are:

What cities near Portland, OR are hiring for Manager Data Analytics Engineer jobs?

Cities near Portland, OR with the most Manager Data Analytics Engineer job openings:

Manager Data Analytics Engineer jobs near you
Infographic showing various Manager Data Analytics Engineer job openings in Portland, OR as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 82% In-person, 9% Hybrid, and 9% Remote job distribution, with an average salary of $137,565 per year, or $66.1 per hour.

Sr. Data Engineer

Concora Credit Inc.

Beaverton, OR • On-site

$119K - $143K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 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.

What Concora Credit employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply