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Databricks Developer Jobs in Portland, OR (NOW HIRING)

Lead Data Engineer

Portland, OR · Remote

$117K - $140K/yr

As a Lead Data Engineer, you will drive the design and evolution of the company's data platform ... Experience with Databricks, including: * Delta Lake * Unity Catalog * Spark-based pipelines

DataOS Data Engineer Description - DataOS Data Engineer collaborating on cutting edge advances in ... Strong Notebooks environment experience (Jupyter, DataBricks) * Experience collecting requirements ...

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

... engineering expertise to build pipelines for structure and non-structure data and design databases using tools such as Databricks, Snowflake, NoSQL, and Vector databases in a Retrieval Augmented ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

USC or GC ONLY Experience: * 8+ years of experience in software engineering, digital platforms, or ... Define and implement the decisioning layer that connects Databricks, CDP, and activation platforms ...

USC or GC ONLY Experience: * 8+ years of experience in software engineering, digital platforms, or ... Define and implement the decisioning layer that connects Databricks, CDP, and activation platforms ...

Azure (ACI, ACR, AKS), Databricks, Kafka, Unity Catalog, REST/OpenAPI * Dev tooling: VSCode, Claude Code, GitHub Copilot, GitHub Actions, Docker, Azure DevOps * Frontend: React, Vite, TypeScript ...

Azure (ACI, ACR, AKS), Databricks, Kafka, Unity Catalog, REST/OpenAPI * Dev tooling: VSCode, Claude Code, GitHub Copilot, GitHub Actions, Docker, Azure DevOps * Frontend: React, Vite, TypeScript ...

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Financial Data Engineer

Beaverton, OR

$119K - $143K/yr

Overview As our Financial Data Engineer, you'll help drive Concora Credit's Mission to enable ... Databricks notebooks, Apache Spark (SQL, Python, Scala), and other Microsoft Azure or open-source ...

Cloud Application Development Engineer

Hillsboro, OR · On-site

$60.75 - $81.25/hr

Drive the implementation of DevOps processes, automation, and culture for application deployment ... Experience with additional tools such as Databricks, Snowflake, SQL * Familiarity with business ...

Financial Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Overview As our Financial Data Engineer, you'll help drive Concora Credit's Mission to enable ... Databricks notebooks, Apache Spark (SQL, Python, Scala), and other Microsoft Azure or open-source ...

Financial Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

As our Financial Data Engineer, you'll help drive Concora Credit's Mission to enable customers to ... Databricks notebooks, Apache Spark (SQL, Python, Scala), and other Microsoft Azure or open-source ...

Financial Data Engineer

Beaverton, OR

$119K - $143K/yr

Overview As our Financial Data Engineer, you'll help drive Concora Credit's Mission to enable ... Databricks notebooks, Apache Spark (SQL, Python, Scala), and other Microsoft Azure or open-source ...

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Databricks Developer information

See Portland, OR salary details

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How much do databricks developer jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for 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 are the typical daily responsibilities of a Databricks Developer?

As a Databricks Developer, your typical day involves designing, developing, and maintaining scalable data pipelines using Databricks and Apache Spark. You’ll collaborate with data engineers, data scientists, and business analysts to ensure data is clean, accessible, and reliable for analytics and reporting. Tasks often include code reviews, optimizing data workflows, troubleshooting performance issues, and implementing best practices for data security and governance. This role offers a dynamic work environment that blends technical challenge with teamwork across multiple departments.

Is Databricks a high paying company?

As a Databricks Developer, salary levels are generally competitive within the tech industry, often reflecting expertise in cloud platforms, big data tools, and programming skills. Compensation can vary based on experience, location, and certifications, but many roles in this field offer above-average salaries for data and cloud professionals.

What are the key skills and qualifications needed to thrive in the Databricks Developer position, and why are they important?

To thrive as a Databricks Developer, you need strong skills in data engineering, Spark programming, SQL, and cloud platforms, typically with a background in computer science or a related field. Hands-on experience with Databricks, Apache Spark, Python/Scala, and knowledge of cloud services like AWS or Azure, as well as relevant certifications, are highly valued. Analytical thinking, problem-solving, effective communication, and the ability to collaborate across teams are essential soft skills for this role. These abilities are crucial to designing scalable data solutions, streamlining data pipelines, and supporting business analytics in modern data-driven organizations.

Is Databricks an in demand skill?

Databricks skills are highly in demand for data engineering and data science roles, as many organizations adopt the platform for big data processing and analytics. Proficiency in Spark, SQL, and cloud environments enhances job prospects for Databricks developers, with many companies seeking professionals with certification and experience in the platform.

What is a Databricks Developer job?

A Databricks Developer is responsible for designing, developing, and optimizing data pipelines and workflows using Databricks, a cloud-based data analytics platform. They work with big data technologies, such as Apache Spark, to process, transform, and analyze large datasets efficiently. Their role includes writing scalable code, creating data models, and collaborating with data engineers and analysts to support business intelligence and machine learning initiatives.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Developer can be competitive, requiring strong skills in Apache Spark, cloud platforms, and programming languages like Python or Scala. Candidates often need relevant experience, certifications, and a solid understanding of data engineering and analytics tools to improve their chances.

Is Databricks need coding?

As a Databricks Developer, coding skills are essential because the role involves writing and optimizing code in languages such as Python, Scala, or SQL to develop data pipelines and analytics solutions within the Databricks platform. Familiarity with Spark and data engineering concepts is also important for effective performance.
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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Lead Data Engineer

Lead Data Engineer

IT Labs

Portland, OR • Remote

$117K - $140K/yr

Full-time

Posted 9 days ago


Job description

About the Role

At IT Labs, we are looking for an experienced Lead Data Engineer to support one of the most innovative companies in the digital health space.

Our client is transforming healthcare through a technology-driven platform that connects employers and patients with leading medical providers, helping reduce costs and improve outcomes. As they continue to scale, they are investing heavily in modernizing their data infrastructure and analytics capabilities.

As a Lead Data Engineer, you will drive the design and evolution of the company's data platform, building scalable data pipelines and robust Snowflake-based solutions. Working closely with cross-functional teams, you will help deliver reliable, high-quality data that powers business decisions and supports the company's growth.
What You'll Do

  • Lead the design, development, and optimization of scalable data platforms and pipelines.

  • Design, build, and maintain production-grade ETL/ELT workflows for batch and near real-time data processing.

  • Drive the migration and modernization of data assets from BigQuery and other analytical platforms into Snowflake.

  • Develop robust integrations with enterprise applications, APIs, and external data providers.

  • Build and optimize Snowflake data models, schemas, Snowpipe ingestion processes, and query performance.

  • Collaborate with business stakeholders, analysts, and engineering teams to translate business requirements into scalable data solutions.

  • Implement data quality, validation, monitoring, and observability frameworks.

  • Establish and promote best practices for data governance, lineage tracking, metadata management, and security.

  • Support both batch and streaming data architectures using technologies such as Kafka, Event Hub, or equivalent.

  • Mentor other engineers and contribute to architectural decisions, technical standards, and engineering best practices.

Ensure data platforms meet performance, reliability, scalability, and regulatory requirements.
Required Skills

  • 7+ years of experience in data engineering within cloud or hybrid environments.

  • Strong experience designing, building, and maintaining production-scale ETL/ELT pipelines.

  • Advanced SQL skills and proficiency with data transformation techniques.

  • Strong Python programming skills for data processing and automation.

  • Hands-on experience with Snowflake, including:

    • Data modeling

    • Snowpipe

    • Query optimization

    • Schema design

  • Experience migrating from BigQuery or similar columnar data warehouse technologies.

  • Experience with batch and streaming data processing platforms such as Kafka, Event Hub, or equivalent.

  • Experience building enterprise-grade API and source-system integrations.

  • Experience implementing data quality and validation frameworks.

  • Good understanding of:

    • Data governance

    • Data lineage

    • Access control and security best practices

  • Strong problem-solving and communication skills.

  • Ability to work effectively in a collaborative, cross-functional environment.

Nice to Have

  • Experience with Databricks, including:

    • Delta Lake

    • Unity Catalog

    • Spark-based pipelines

  • Experience with Spark, Scala, or PySpark.

  • Familiarity with Tableau.

  • Understanding of HIPAA and HITRUST data handling practices.

  • Experience with dbt (data build tool) for transformation layer management.

  • Experience working within healthcare, insurance, or regulated industries.

Working Conditions
  • Full-time, 40h/week

  • US-based — US citizenship is required

  • Remote

  • Contract or B2B arrangement

Our values

We are a company that seeks the best for both our employees and clients, reaching beyond expectations in turning dreams into reality. Our way of working is rooted in our core values (Integrity, Excellence, Proactivity, Innovation, and People), with an expectation that our future colleagues will make these their second nature in their everyday work and life. We don’t ask for perfection, but we do appreciate people motivated to better themselves in every conceivable aspect.

About IT Labs

Founded in 2005, IT Labs is an international software tech company, specializing in purpose and process-driven teams for high-performance, innovation, transformation, and efficiency. Our HQ is in Palm Beach Gardens, Florida, and we have teams around the world - the UK, the Netherlands, Brazil, Argentina, Serbia, Croatia, BIH, Montenegro, North Macedonia, and the Middle East. We are constantly growing, and we would love for you to become part of our team!