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Remote Databricks Data Engineer Jobs in Oregon (NOW HIRING)

Data Engineer

OR ยท Remote

$114K - $137K/yr

Experience working with cloud-based data platforms such as Databricks , Snowflake , Delta Lake , or ... Remote

Data Engineer - AI

$101K - $132K/yr

Any Databricks / AWS certifications is a big plus. * Familiarity with data pipeline orchestration ... REMOTE #LI-LL1 #SENIOR Employment Type: OTHER

Data Engineer

OR ยท Remote

$120K - $150K/yr

This is a fully remote role based in the United States. What you'll be doing The primary ... Snowflake, BigQuery, Redshift, Databricks) * Familiarity with pipeline orchestration tools (e.g.

Senior Data Engineer

$117K - $146K/yr

NET code to a scalable, cloud-native architecture on AWS and expanding into our Databricks ... All full-time positions are hybrid, with many eligible to be completely remote * Fully Paid by ...

Principal Data Engineers establish the data foundation of Cotiviti's clinical AI platform-the ... AWS, GCP, or Databricks certifications a plus. * Clinical healthcare background-familiarity with ...

Senior Data Scientist

OR ยท Remote

$84K - $112K/yr

... engineering, analytics, or a related role Strong Python and SQL skills Experience with Databricks ... Bonus Structure #LI-Remote Requisition #: 342510 Life at Lumen Life at Lumen is human and connected ...

Senior Data Engineer AI

$140K - $165K/yr

Any Databricks / AWS certifications is a big plus. * Strong SQL and data modeling skills ... remote #senior Employment Type: OTHER

Data Engineer (L5)

OR ยท On-site +1

$380K - $610K/yr

Data Engineering at Netflix is a role that requires building systems to process data efficiently ... remote in the US with occasional visits to Los Gatos) depending on the team your skills are most ...

Sr. Data Engineer

OR ยท On-site +1

$100K - $150K/yr

This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. Data Engineer, your primary responsibility is to stay one step ahead of your fellow team members by ...

$130K/yr

... Databricks to support enterprise analytics. * Architect and optimize robust data models and ... The Ideal Candidate You are a Data Engineer who approaches data engineering as a software ...

... Databricks to support enterprise analytics. * Architect and optimize robust data models and ... The Ideal Candidate You are a Data Engineer who approaches data engineering as a software ...

Overview LMI seeks an experienced Data Engineer to support the U.S. Army's Holistic Health ... This position may be performed in a remote or hybrid capacity. * Travel: Limited travel to Fort ...

Overview LMI is seeking a Data Engineer to build the pipelines that power Army leadership decisions ... Open to Remote. Local preferred at client site in Crystal City VA or Aberdeen MD. LMI is a new ...

Overview LMI is seeking a Data Engineer to build the pipelines that power Army leadership decisions ... Open to Remote. Local preferred at client site in Crystal City VA or Aberdeen MD. LMI is a new ...

Senior Data Engineer

OR ยท On-site +1

$105K - $143K/yr

We're a remote-first, work-anywhere, and "yes - you should make time for that adventure/vacation ... We are looking for a Senior Data Engineer to take ownership of this massive daily ingestion engine.

Senior Data Engineer

$105K - $150K/yr

Job Summary As a Senior Data Engineer at WellBe you will play a pivotal role in collecting ... Work Environment Remote Travel may be required up to 15% locally or nationally Pay Transparency ...

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Remote Databricks Data Engineer information

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

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What is a Remote Databricks Data Engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.

What are some common challenges faced by remote Databricks Data Engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.
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:
What are popular job titles related to Remote Databricks Data Engineer jobs in Oregon? For Remote Databricks Data Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Databricks Data Engineer jobs in Oregon look for? The top searched job categories for Remote Databricks Data Engineer jobs in Oregon are:
What cities in Oregon are hiring for Remote Databricks Data Engineer jobs? Cities in Oregon with the most Remote Databricks Data Engineer job openings:

Data Engineer

Tebra

OR โ€ข Remote

$114K - $137K/yr

Other

Posted 5 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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