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Temporary Databricks Data Engineer Jobs in Oregon

Tebra

Data Engineer

OR · On-site +1

$114K - $137K/yr

About the Role As a Data Engineer focused on AI/ML , you'll build, maintain, and optimize the data ... Experience working with cloud-based data platforms such as Databricks , Snowflake , Delta Lake , or ...

Ohm Systems, Inc

Sr Data Engineer

Beaverton, OR · On-site

$120K - $145K/yr

Databricks * Spark * Python * Snowflake * SQL * Experience with AI tools and initiatives ... in engineering * Implement distributed data processing pipelines using tools and languages ...

Ohm Systems, Inc

Be Seen First

Sr. Data Engineer

Beaverton, OR · On-site

$70 - $75/hr

Databricks * Spark * Python * Snowflake * SQL * Experience with AI tools and initiatives ... in engineering * Implement distributed data processing pipelines using tools and languages ...

Cotiviti

Data Engineer - AI

$101K - $132K/yr

Using their technical experience in ETL processes, Data Engineers ensure operational functions are ... Any Databricks / AWS certifications is a big plus. * Familiarity with data pipeline orchestration ...

Fieldwire

Data Engineer

OR · On-site +1

$120K - $150K/yr

Who we're looking for Fieldwire is seeking a skilled Data Engineer to join our growing Data ... Snowflake, BigQuery, Redshift, Databricks) * Familiarity with pipeline orchestration tools (e.g.

Amerilife Group, LLC

Director, Data Engineering

OR · On-site +1

Databricks Certified Data Engineer Professional certification. * Experience with Azure cloud services and enterprise security. * Experience with Data Vault 2.0. * Knowledge of AI, machine learning ...

Pwc

GenAI Python Systems Engineer-Manager

Portland, OR

$99K - $232K/yr

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 ...

Grant Street Group

OR · On-site

$80K - $180K/yr

As part of this team, developers are responsible for building and supporting high performance data ... Experience with tools for largescale data migration (Databricks) * TechOps skills that help you ...

Ohm Systems, Inc

Sr. Data Engineer

Beaverton, OR · On-site

$120K - $145K/yr

... in engineering · Implement distributed data processing pipelines using tools and languages ... databricks · Experience with cloud warehouse tools like Snowflake · Experience working with NoSQL ...

A-dec, Inc.

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and ... Snowflake or Databricks) * Experience with lambda and kappa architectures * Experience with iPaaS ...

A-dec, Inc.

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and ... Snowflake or Databricks) * Experience with lambda and kappa architectures * Experience with iPaaS ...

A-dec, Inc. (USA)

Data Engineer, Staff

Newberg, OR · On-site

$120 - $180/hr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and ... Snowflake or Databricks). * Experience with lambda and kappa architectures. * Experience with iPaaS ...

New

Amerilife Group, LLC

Senior Data Architect

OR · On-site +1

$67.25 - $90/hr

Databricks Certified Data Engineer Professional or equivalent certification. * Experience implementing enterprise metadata repositories and data catalogs. * Experience with Snowflake Secure Data ...

Cheesecake Labs

$63.75 - $82/hr

Have strong experience building scalable data architectures and modern data engineering solutions * Feel comfortable working with modern data stack technologies such as Snowflake, Databricks, dbt, or ...

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All JobsDatabricks Data Engineer JobsTemporary Databricks Data Engineer JobsTemporary Databricks Data Engineer Jobs in Oregon

Temporary Databricks Data Engineer information

What is the difference between Temporary Databricks Data Engineer vs Temporary Spark Data Engineer?

AspectTemporary Databricks Data EngineerTemporary Spark Data Engineer
Required SkillsDatabricks platform, Spark, SQL, Python, cloud servicesApache Spark, Scala, Python, SQL, cloud environments
CertificationsDatabricks Certified Data Engineer, cloud certificationsApache Spark certifications, cloud certifications
Work EnvironmentCloud-based Databricks platform, collaborative environmentOn-premises or cloud Spark clusters, flexible environments
Industry UsageData engineering projects leveraging Databricks platformBig data processing using Spark in various environments

While both roles involve Spark and cloud skills, a Temporary Databricks Data Engineer specializes in the Databricks platform, offering integrated tools and collaborative features. A Temporary Spark Data Engineer focuses on Spark core technology, often working in diverse environments. The choice depends on the specific platform and tools used by the employer.

What are the most commonly searched types of Databricks Data Engineer jobs in Oregon?

The most popular types of Databricks Data Engineer jobs in Oregon are:

Temporary Databricks Data Engineer jobs near you

Data Engineer

Tebra

OR • On-site, Remote

$114K - $137K/yr

Full-time

Posted 23 days ago

Job description

About the Role

As a Data Engineer focused on AI/ML, you'll build, maintain, and optimize the data infrastructure that powers Tebra's intelligent features. You'll partner closely with Machine Learning Engineers, Data Scientists, and Software Engineers to transform complex healthcare data into high-quality datasets and real-time features that enable machine learning models.

This is a hands-on engineering role where you'll contribute to scalable data pipelines, improve data quality, and help ensure our AI systems are powered by reliable, performant, and well-governed data. You'll work on modern data platforms and gain experience building solutions that support both model training and production inference.

Your Area of Focus
  • Design, build, and maintain scalable data pipelines for feature extraction, training data generation, and model monitoring.
  • Develop and enhance data systems that support analytics and machine learning workloads, including data lakehouse and feature store technologies.
  • Monitor production data pipelines, identify data quality issues or pipeline failures, and implement improvements to ensure reliability and freshness.
  • Participate in engineering design discussions and contribute to technical decisions around data architecture and pipeline implementation.
  • Build reusable data engineering components, including automated data quality checks, schema validation, and testing frameworks.
  • Translate business requirements into scalable data solutions that enable analytics and machine learning use cases.
  • Optimize SQL queries, Spark workloads, and data processing pipelines to improve performance and scalability.
  • Collaborate with ML Engineers and cross-functional partners to support MLOps best practices, including data versioning, lineage, and reproducibility.
  • Break down technical work into manageable tasks and deliver high-quality solutions within an agile team.
Your Professional Qualifications
  • 3+ years of professional experience in Data Engineering, Software Engineering, or a related field.
  • 2+ years of hands-on experience building and maintaining production data pipelines supporting analytics, reporting, or machine learning workloads.
  • Strong proficiency in Python and SQL with experience developing production-quality data pipelines.
  • Experience with modern data processing technologies such as Spark, Airflow, Kafka, or similar distributed data platforms.
  • Experience working with cloud-based data platforms such as Databricks, Snowflake, Delta Lake, or equivalent lakehouse technologies.
  • Understanding of data modeling, data warehousing, and data governance best practices.
  • Familiarity with machine learning data workflows, including training datasets, feature engineering, and data quality concepts.
  • Experience deploying and supporting production data pipelines with monitoring, testing, and CI/CD practices.
  • Strong problem-solving skills, attention to detail, and the ability to collaborate effectively across engineering and product teams.
  • Excellent communication skills and a desire to continuously learn new technologies and engineering practices.

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