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Contract Databricks Developer Jobs in Portland, OR

Lead Data Engineer

Portland, OR · Remote

$117K - $140K/yr

Experience with Databricks, including: * Delta Lake * Unity Catalog * Spark-based pipelines ... Contract or B2B arrangement Our values We are a company that seeks the best for both our employees ...

New

Contract Databricks Developer information

See Portland, OR salary details

$22

$65

$84

How much do contract databricks developer jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for contract databricks developer in Portland, OR is $65.21, according to ZipRecruiter salary data. Most workers in this role earn between $58.65 and $72.16 per hour, depending on experience, location, and employer.

What is a Contract Databricks Developer?

A Contract Databricks Developer is a data engineering professional hired on a temporary or project basis to develop, optimize, and maintain data pipelines and analytics solutions using the Databricks platform. They work with cloud data technologies, Spark, and big data frameworks to support organizations in managing large-scale data processing and analytics tasks. Their responsibilities often include building ETL workflows, collaborating with data scientists, and ensuring data quality and performance in data-driven projects.

What are some common challenges faced by Contract Databricks Developers when starting a new project?

As a Contract Databricks Developer joining a new project, you may encounter challenges such as quickly understanding the existing data architecture, adapting to the client's specific workflow, and ensuring seamless integration with their cloud infrastructure (often Azure or AWS). You’ll also need to align with established data governance and security protocols while collaborating with data engineers, analysts, and business stakeholders. Effective communication and proactive documentation are key to overcoming these hurdles and delivering value efficiently within the contract period.

What is the difference between Contract Databricks Developer vs Data Engineer?

AspectContract Databricks DeveloperData Engineer
Primary FocusDeveloping and optimizing data pipelines using Databricks platformDesigning, building, and maintaining scalable data architectures
Skills & CertificationsProficiency in Spark, SQL, Python, Databricks platform, and cloud servicesKnowledge of ETL processes, SQL, Python, cloud platforms, and data modeling
Work EnvironmentProject-based, often remote, with a focus on Databricks environmentsVaries from in-house teams to consulting, working on large-scale data systems

While both roles require expertise in data processing and cloud platforms, a Contract Databricks Developer specializes in building data solutions specifically within the Databricks environment, whereas a Data Engineer has a broader scope in designing and managing overall data infrastructure across various tools and platforms.

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

To excel as a Contract Databricks Developer, you need strong expertise in data engineering, big data analytics, and proficiency in programming languages like Python or Scala, typically backed by relevant experience or a degree in computer science. Familiarity with Databricks, Apache Spark, cloud platforms (such as Azure or AWS), and certifications like Databricks Certified Associate Developer are commonly required. Excellent problem-solving, adaptability, and communication skills help you collaborate with clients and teams to deliver tailored data solutions. These competencies are crucial for building scalable data pipelines and efficiently managing large datasets in dynamic project environments.
What are the most commonly searched types of Databricks Developer jobs in Portland, OR? The most popular types of Databricks Developer jobs in Portland, OR are:
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Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago


Job description

As our 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.


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.


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.