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Contract Data Engineering Jobs in Oregon (NOW HIRING)

Senior Staff Software Engineer, Data

OR · On-site +1

$105K - $143K/yr

Partnering with Engineering to improve upstream data quality and contracts. * Leading cross-functional initiatives that modernize and future-proof Zocdoc's data platform. * Mentoring engineers and ...

OR · On-site

... define data contracts early, so these systems converge by design. What We Need to See: We truly ... Data Engineering at Scale: 15+ years of experience designing, building, and operating production ...

$83K - $144K/yr

Responsibilities * Support a major civilian federal agency while leading data engineering ... contract requirements, and candidate qualifications, such as education, experience, skills, and ...

Data Engineer-Kiewit Nuclear Solutions 1

OR · Remote

$107K - $128K/yr

Contribute to enterprise data standards and BI best practices Data Integration and Engineering Collaboration * Work with data engineers to define optimized data contracts * Analyze and troubleshoot ...

Quality Engineer

Wilsonville, OR

$74K - $96K/yr

Develop test procedures and test reports per customer contract data requirements lists (CDRLs ... Bachelor's Degree in a scientific / engineering field and minimum two (2) years' experience in a ...

GSA IT Database Architect (51003)

$63.75 - $82/hr

This position is contingent upon contract award* Position Summary The Database Architect designs ... data engineering. * 3-5 years in a dedicated Database Architect or lead DBA role. * Proven ...

Quality Engineer

Wilsonville, OR · On-site

$74K - $96K/yr

Develop test procedures and test reports per customer contract data requirements lists (CDRLs ... Bachelor's Degree in a scientific / engineering field and minimum two (2) years' experience in a ...

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Showing results 1-20

Contract Data Engineering information

What is the difference between Contract Data Engineering vs Data Analyst?

AspectContract Data EngineeringData Analyst
Required SkillsSQL, Python, ETL, cloud platforms, data pipeline developmentSQL, Excel, data visualization, reporting tools
Work EnvironmentProject-based, technical teams, cloud or on-premises infrastructureBusiness units, reporting teams, often in office or remote
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Contract Data Engineers focus on building and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. Data Analysts interpret data, create reports, and visualize insights, often using different tools. While both roles work with data, Contract Data Engineering is more technical and infrastructure-oriented, whereas Data Analysts focus on data interpretation and business insights.

What is the salary of a freelance data engineer?

The salary of a freelance data engineer varies widely based on experience, project complexity, and location, but typically ranges from $50 to $150 per hour. Experienced professionals with skills in cloud platforms, data pipelines, and programming languages like Python or SQL tend to command higher rates. Freelancers often set their rates based on project scope and client requirements.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, specialized skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation is often associated with leadership roles, consulting, or working in high-demand industries such as finance or technology. Achieving this level typically requires advanced certifications, a strong track record, and sometimes equity or performance bonuses.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their skills in programming, database management, and cloud platforms remain in high demand. AI tools serve as complements that enhance efficiency rather than substitutes for the core responsibilities of data engineers.

What is contract data engineering?

Contract data engineering refers to hiring data engineers on a temporary or project basis, rather than as full-time employees. Contract data engineers are responsible for designing, building, and maintaining data pipelines, databases, and other infrastructure to support data analytics and business needs. Companies often hire contract data engineers to handle specific projects, scale up teams quickly, or bring in specialized skills for a limited time. This arrangement offers flexibility for both the company and the engineer, and is common in industries with fluctuating data workloads or short-term projects.

Is contract engineering a good career?

Contract data engineering involves short-term or project-based work focused on designing, building, and maintaining data pipelines and systems. It offers flexibility and diverse experience but may lack long-term job security and benefits compared to permanent roles. Success in this career often depends on technical skills, certifications, and the ability to adapt to different environments.

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

To thrive as a Contract Data Engineer, you need strong proficiency in data modeling, ETL processes, and programming languages such as Python or SQL, often supported by a degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud services (AWS, Azure, GCP), and relevant certifications like Google Cloud Professional Data Engineer are typically required. Excellent problem-solving, adaptability, and effective communication are crucial soft skills in this role. These competencies enable efficient project delivery, seamless collaboration with stakeholders, and the ability to quickly adapt to new technical environments and client requirements.

What are some common challenges faced by contract data engineers and how can they be addressed?

Contract data engineers often face the challenge of quickly familiarizing themselves with a company's existing data infrastructure and processes. Since contracts are typically short-term, there is limited time to onboard, understand unique data pipelines, and build relationships with stakeholders. To address this, successful contract data engineers proactively communicate with team members, document their work thoroughly, and leverage their prior experience with a variety of tools and platforms. Flexibility and strong problem-solving skills are essential for adapting to new environments and delivering results efficiently.
What are the most commonly searched types of Data Engineering jobs in Oregon? The most popular types of Data Engineering jobs in Oregon are:
What job categories do people searching Contract Data Engineering jobs in Oregon look for? The top searched job categories for Contract Data Engineering jobs in Oregon are:
What cities in Oregon are hiring for Contract Data Engineering jobs? Cities in Oregon with the most Contract Data Engineering job openings:

Data Modeler & Architect

Concora Credit Inc.

Beaverton, OR • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Job description

Overview

As a Data Modeler & Architect, 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:

We are seeking a skilled and strategic Data Modeler with a strong foundation in data architecture to join our Data Architecture department. In this role, you will be at the center of designing and governing our enterprise data models, driving Master Data Management (MDM) initiatives, and enabling seamless data system integration across our Databricks-powered lakehouse environment. You will collaborate closely with data engineers, analytics engineers, and business stakeholders to ensure our data assets are well-structured, consistent, and fit for purpose.

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 Data Modeler & Architect, you will:

Data Modeling & Design

  • Design and maintain conceptual, logical, and physical data models that support enterprise data strategy and business requirements.
  • Develop and enforce data modeling standards, best practices, and naming conventions across the organization.
  • Create and manage dimensional models (star/snowflake schemas) optimized for analytics workloads on Databricks.
  • Collaborate with data engineers to translate logical models into efficient physical implementations within the Databricks lakehouse (bronze, silver, gold layers).

Master Data Management (MDM)

  • Lead the design and implementation of MDM frameworks, including entity resolution, golden record creation, and data stewardship workflows.
  • Define and manage master data domains such as Customer, Product, Partners, and Location.
  • Partner with business units to identify authoritative data sources and resolve data conflicts across systems.
  • Govern master data lifecycle - creation, maintenance, retirement - and enforce data quality rules.

Data System Integration

  • Architect data models that support data ingestion from multiple source systems (ERP, CRM, third-party APIs, etc.) into the lakehouse.
  • Design canonical data models to enable consistent representation of shared entities across integrated systems.
  • Work with data engineering and BI teams to ensure data contracts, schemas, and transformations align with enterprise data standards.
  • Support event-driven and batch integration patterns, ensuring model compatibility with streaming and batch pipelines.

Architecture & Governance

  • Contribute to the enterprise data architecture roadmap, aligning data modeling efforts with strategic technology initiatives.
  • Maintain a centralized data model repository and keep documentation current across all model versions.
  • Participate in data governance forums, providing modeling expertise to support data cataloging, lineage, and quality initiatives.
  • Conduct data model reviews and provide mentorship to junior modelers and data engineers on modeling principles. 

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+ years of experience in data modeling, data architecture, or a closely related role.
  • Proven expertise in relational, dimensional, and NoSQL data modeling techniques.
  • Hands-on experience with Master Data Management (MDM) strategies, tools, and governance practices.
  • Solid proficiency in SQL - including complex queries, schema design, and query optimization.
  • Experience with Python for data transformation, automation, and scripting.
  • Working knowledge of Apache Spark and distributed data processing concepts.
  • Practical experience with Databricks, including Delta Lake, Unity Catalog, and lakehouse architecture (bronze/silver/gold).
  • Experience designing data integration models for heterogeneous source systems.
  • Familiarity with data modeling tools such as Erwin, DBeaver, DataGrip, and similar.
  • Strong communication skills, with ability to present complex data concepts to both technical and non-technical audiences.
  • Excellent project management and cross-functional communication skills, with the ability to align technical and non-technical stakeholders
  • Strong advocate for CI/CD-driven delivery, with a focus on measurable security, performance, and quality outcomes

 

Preferred Qualifications:

  • Experience with data catalog and lineage tools (e.g., Alation, Collibra, Unity Catalog).
  • Knowledge of data mesh principles and domain-oriented data ownership.
  • Exposure to streaming data architectures (Kafka, Spark Streaming, Delta Live Tables).
  • Familiarity with cloud platforms such as AWS, Azure, or GCP in the context of data infrastructure.
  • Databricks Certified Associate or Professional certification.
  • Background in ontology design or semantic data modeling.

 

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.

Employment Type: FULL_TIME