Top 25 Data modeling engineer Jobs in Portland, Or

Data Engineer I, II
Moda Health —Portland, OR
- $78,911.43 - $110,265.00 a year
- Weekends as needed
- Hybrid work
- Mid-level
- Java
- Analysis skills
- Paid holidays
- Health insurance
Quick Apply
Data Engineer
Headlight —Portland, OR
- $150,000 - $165,000 a year
- Full-time
- Hybrid work
- Azure
- HIPAA
- 3 years
- Paid holidays
- Health insurance
Quick Apply
6d
Data Engineer - Senior Associate
PRICE WATERHOUSE COOPERS —Portland, OR
- $77,000 - $202,000 a year
- Mid-level
- AWS
- Fair chance
- Paid holidays
- Health insurance
Software Engineer, Data, Global Sustainability
Google —Portland, OR
- $147,000 - $211,000 a year
- Full-time
- Computer science
- Computer Science
- System design
- Paid holidays
- Disability insurance
Data Platform Engineer IV
Cambia Health Solutions —Portland, OR
- $114,000 - $186,000 a year
- Full-time
- Hybrid work
- Background check
- 6 years
- Computer Science
- Health savings account
- Paid holidays
Staff Product Engineer, Data & AI
Prokeep —Portland, OR
- Full-time
- Hybrid work
- System design
- APIs
- Senior level
- Disability insurance
- Health insurance
Lead Data Engineer
IT Labs —Portland, OR
- Full-time
- Remote
- 7 years
- HIPAA
- SQL
Quick Apply
DataOS Data Engineer
HP —Vancouver, WA
- $105,050 - $161,800 a year
- Full-time
- Computer science
- Azure
- Computer Science
- Paid parental leave
- Paid holidays
11d
Data Engineer - Manager
PRICE WATERHOUSE COOPERS —Portland, OR
- $99,000 - $232,000 a year
- Computer Science
- Mid-level
- AWS
- Paid holidays
- Health insurance
Senior AI Data Engineer
Scribd, Inc. —Portland, OR
- $127,500 - $235,000 a year
- Full-time
- 5 years
- Residential
- SQL
- Paid parental leave
- Disability insurance
Data Scientist Engineer - SFL Scientific
Deloitte —Portland, OR
- $95,600 - $188,400 a year
- Full-time
- Azure
- Computer Science
- Office
CTIO - AI Engineer - Experienced Associate
PRICE WATERHOUSE COOPERS —Portland, OR
- $50,500 - $140,000 a year
- Computer Science
- Mid-level
- Bachelor's degree
- Paid holidays
- Health insurance
10d
Sr Data Engineer (Databricks)
Qode —Camas, WA
- $130,000 - $150,000 a year
- Full-time
- Hybrid work
- Computer Science
- Bachelor of Science
- System design
Quick Apply
10d
Senior Staff Software Engineer, Backend (Data and Storage Services)
Affirm —Vancouver, WA
- $209,000 - $269,000 a year
- On call
- Remote
- Research
- SQL
- Analysis skills
- Employee stock purchase plan
- Health insurance
Senior Data Scientist Engineer - SFL Scientific
Deloitte —Portland, OR
- $128,000 - $252,500 a year
- Full-time
- Azure
- Computer Science
- Office
Forward Deployed Engineer - Databricks - Forensic Discovery & Financial Crime
Deloitte —Portland, OR
- $134,500 - $265,100 a year
- Full-time
- Computer science
- Azure
- Computer Science
3d
Senior Software Engineer- Big Data & MCP, Data Foundations
RevSpring Inc —Portland, OR
- Java
- SQL
- Bachelor's degree
Quick Apply
6d
Applied AI Health Data System Engineer-Senior Manager
PRICE WATERHOUSE COOPERS —Portland, OR
- $124,000 - $280,000 a year
- 6 years
- HIPAA
- SQL
- Paid holidays
- Health insurance
Forward Deployed Engineer - Databricks
Deloitte —Portland, OR
- $134,500 - $265,100 a year
- Full-time
- Azure
- Computer Science
- Up to 50% travel
Forward Deployed Engineer- Palantir
Deloitte —Portland, OR
- Full-time
- Azure
- Computer Science
- Up to 50% travel

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Data Engineer I, II

Moda Health -
Portland, OR

Quick Apply

Job Details

Full-time
$78,911.43 - $110,265.00 a year

Benefits

Paid holidays
Health insurance
Dental insurance
Flexible spending account
Paid time off
Employee assistance program
Vision insurance
401(k) matching

Qualifications

Data model design
Commercial use (data warehousing systems)
Performance tuning
Cloud analytics services
Data visualization software proficiency
Data Integration (Data management)
Cloud data warehouses
Data modeling projects
IT transformation
Implementing cloud migration projects
System performance optimization
Business intelligence report generation
Schema design
Stored procedures
ETL process automation
Agile software development
System tuning
Data performance optimization

Full Job Description

Let’s do great things, together!

About Moda
Founded in Oregon in 1955, Moda is proud to be a company of real people committed to quality. Today, like then, we’re focused on building a better future for healthcare. That starts by offering outstanding coverage to our members, compassionate support to our community and comprehensive benefits to our employees. It keeps going by connecting with neighbors to create healthy spaces and places, together. Moda values diversity and inclusion in our workplace. We aim to demonstrate our commitment to diversity through all our business practices and invite applications from candidates that share our commitment to this diversity. Our diverse experiences and perspectives help us become a stronger organization. Let’s be better together.

Position Summary
The Data Engineer role on the Data Science Team (DST) is responsible for designing, maintaining, and enhancing data integration pipelines that support the Enterprise Data Warehouse (EDW) and downstream analytics. This role supports the existing on premises data environment while actively contributing to cloud modernization initiatives, including the adoption of modern data transformation and cloud data warehouse technologies such as dbt and Snowflake. This is a FT WFH position.

Pay Range
$78,911.43 - $110,265.00 annually (depending on experience).

This role may be classified as hourly (non-exempt) depending on the applicant's location. Actual pay is based on qualifications. Position level is based on qualifications & experience. Applicants who do not exceed the minimum qualifications will only be eligible for the low end of the pay range.

Please fill out an application on our company page, linked below, to be considered for this position.

https://j.brt.mv/jb.do?reqGK=27777149&refresh=true

Benefits:

Medical, Dental, Vision, Pharmacy, Life, & Disability
401K- Matching
FSA
Employee Assistance Program
PTO and Company Paid Holidays

Required Skills, Experience & Education:

Bachelor's Degree in a related field or equivalent practical experience preferred

1 - 5 years of experience working with large datasets in relational databases and SQL-based data analytic platforms. Experience with SQL Server and modern SQL-based cloud data warehouses, e.g. Snowflake, BigQuery, Redshift, etc.) is preferred.

1 - 5 years of hands-on SQL development experience, including writing complex queries, stored procedures, and performance tuning.

1 - 5 years of practical experience developing and supporting data pipelines and transformations using SSIS, SQL Agent, Azure Data Factory, and/or Airflow. Exposure to modern cloud-based transformation tools such as dbt or similar is preferred.

Experience supporting on-premises data warehouse environments and contributing to future cloud modernization efforts, including assisting with migrations from on-premises SQL Server–based platforms to Snowflake or similar cloud technologies.

Solid understanding of data management principles, relational data structures, and data modeling, with the ability to apply best practices in both on-premises and modern SQL-based cloud data warehouses.

Demonstrated analytical skills and ability to contribute to data driven solutions that address real business problems, with guidance from senior engineers when needed.

Working knowledge of Agile development methodologies and participation in collaborative, team-based delivery models.

Exposure to DevOps practices using tools such as Azure DevOps (CI/CD, work item tracking, GIT version control, Pull Requests) is desirable.

Experience working with business intelligence and reporting tools such as SAS Enterprise Guide, Power BI or SSRS, including supporting downstream analytics and reporting users.

Familiarity with programming or scripting languages such as Python, R, or Java is a plus.

Experience with healthcare data is strongly preferred.

Primary Functions:

Design, develop, test, and maintain ETL/ELT pipelines that ingest data from multiple internal and external source systems into the Enterprise Data Warehouse (EDW).

Automate, maintain and enhance existing data pipelines to ensure reliability, performance, and scalability, while implementing incremental improvements as part of ongoing cloud modernization efforts.

Contribute to data platform modernization initiatives, including assisting with migrations to cloud-based infrastructure and adoption of modern data tools and practices.

Develop, implement, and support data quality checks, validation processes, and monitoring to ensure data accuracy and consistency.

Build and support modern, enterprise-grade data pipelines and models under the guidance of senior engineers to enable adoption of next-generation data architecture.

Collaborate with cross-functional teams to understand data and reporting requirements and provide ongoing support for data infrastructure needs.

Support the Data Science team by implementing and maintaining data solutions that enable advanced analytics and machine learning cases.

Participate collaboratively in Enterprise Data Warehousing, Business Intelligence, and other data management initiatives, including code reviews and documentation.

Perform other duties as assigned.

Working Conditions:

Office environment with extensive close PC and keyboard use, constant sitting, and frequent phone communication. Must be able to navigate multiple computer screens. A reliable, high-speed, hard-wired internet connection required to support remote or hybrid work. Must be comfortable being on camera for virtual training and meetings. Work in excess of standard workweek, including evenings and occasional weekends, to meet business need.
Experience in healthcare systems is a plus; Facets experience preferred.

Together, we can be more. We can be better.

Moda Health seeks to allow equal employment opportunities for all qualified persons without regard to race, religion, color, age, sex, sexual orientation, national origin, marital status, disability, veteran status or any other status protected by law. This is applicable to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absences, compensation, and training.

For more information regarding accommodations, please direct your questions to Kristy Nehler & Danielle Baker via our [email protected] email.

Quick Apply

Refine Your Search

data modeling engineer jobs in portland, or

Data Engineer I, II

Data Engineer

Data Engineer - Senior Associate

Software Engineer, Data, Global Sustainability

Data Platform Engineer IV

Staff Product Engineer, Data & AI

Lead Data Engineer

DataOS Data Engineer

Data Engineer - Manager

Senior AI Data Engineer

Data Scientist Engineer - SFL Scientific

CTIO - AI Engineer - Experienced Associate

Sr Data Engineer (Databricks)

Senior Staff Software Engineer, Backend (Data and Storage Services)

Senior Data Scientist Engineer - SFL Scientific

Forward Deployed Engineer - Databricks - Forensic Discovery & Financial Crime

Senior Software Engineer- Big Data & MCP, Data Foundations

Applied AI Health Data System Engineer-Senior Manager

Forward Deployed Engineer - Databricks

Forward Deployed Engineer- Palantir

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