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Remote Databricks Data Engineer Jobs in Oregon (NOW HIRING)

KeyLogic, LLC

$114K - $137K/yr

... Remote and requires U.S. Citizenship Experience with the Department of Energy (DOE) is required ... As a Data Engineer in this role, you will be responsible for designing, building, and maintaining ...

Origami Risk LLC

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 ...

KeyLogic, LLC

... Remote and requires U.S. Citizenship Experience with the Department of Energy (DOE) is required ... data workflows. You will work closely with cross-functional teams to automate deployment processes ...

Cotiviti

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

YipitData (Alternative)

Data Engineering Manager

OR · On-site +1

Work extensively with Databricks and various AI toolings for large-scale data processing and ... This is a remote-friendly opportunity that can sit in NYC (where our headquarter is located), one ...

NinjaTrader

Sr. Data Engineer

OR · 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 ...

Netflix

Data Engineer (L5)

OR · 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 ...

Monks

... 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 ...

New

Media.Monks

$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 ...

New

360training

Data Architect Manager

This is a remote position and we are looking to hire in the following states: AZ, FL, GA, LA, NJ ... Partner with BI, analytics, engineering, product, finance, and business teams to improve data trust ...

Wheelhouse

Senior Data Engineer

OR · 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.

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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:
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Remote Databricks Data Engineer jobs near you
Data Engineer, Databricks

Data Engineer, Databricks

KeyLogic, LLC

Remote

$114K - $137K/yr

Full-time

Re-posted 17 days ago

Job description

KeyLogic is seeking Databricks Engineers to join our growing team supporting the Department of Energy (DOE)

The position is Remote and requires U.S. Citizenship

Experience with the Department of Energy (DOE) is required

Position Requirements:

  • U.S. Citizenship

  • Experience with the Department of Energy (DOE)

Position Description:

As a Data Engineer in this role, you will be responsible for designing, building, and maintaining robust data pipelines that support the organization's analytical and operational needs. You will work closely with cross-functional teams to ensure data is collected, processed, and made available in a reliable and scalable manner. Leveraging your expertise, you will optimize data workflows and implement best practices for data integration, transformation, and storage. Your contributions will directly impact the efficiency and effectiveness of data-driven decision-making across the business.
To excel in this position, you will utilize tools such as Databricks for advanced data processing and analytics, and Terraform for infrastructure automation and management. Familiarity with cloud-based environments, version control systems, and CI pipelines will further enhance your ability to deliver high-quality solutions. Experience with large-scale data architectures, real-time data streaming, and performance tuning will help you address complex challenges and drive continuous improvement. Your background in collaborating with diverse technical teams and managing end-to-end data solutions will be instrumental in achieving success in this dynamic environment.

Position Responsibilities:

  • Design, build, and maintain scalable data pipelines using Databricks
  • Develop and implement infrastructure as code solutions with Terraform
  • Collaborate with cross-functional teams to understand data requirements and deliver robust solutions
  • Optimize data workflows for performance, reliability, and scalability
  • Monitor, troubleshoot, and resolve issues related to data processing and infrastructure
  • Ensure data quality and integrity throughout the data lifecycle
  • Automate repetitive tasks to improve efficiency and reduce manual intervention
Employment Type: Full time

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