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Data Automation Remote Jobs in Oregon (NOW HIRING)

$114K - $137K/yr

... Remote and requires U.S. Citizenship Experience with the Department of Energy (DOE) is required ... infrastructure automation and management. Familiarity with cloud-based environments, version ...

This is a remote position and we are looking to hire in the following states: AZ, FL, GA, LA, NJ ... Practical experience with schema evolution, metadata-driven ingestion, pipeline automation, data ...

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. ... Contribute to the orchestration and automation of workflows * Integrate complex financial APIs and ...

Data Analyst II

OR · On-site +1

We're actively rebuilding how analytical work gets done - using AI agents, automation, and new ... This is a remote-friendly opportunity that can sit in NYC (where our headquarter is located), one ...

Data Analyst II

OR · On-site +1

We're actively rebuilding how analytical work gets done - using AI agents, automation, and new ... This is a remote-friendly opportunity that can sit in NYC (where our headquarter is located), one ...

Senior Data Analyst

OR · Remote

$85K - $108K/yr

... optimization, automation, and system enhancement, unlocking efficiency across Finance and ... Remote

Python - ETL scripting, bulk data loading, automation of conversion routines. * Healthcare payer ... Remote, US Type of Employment: Full-time, permanent FLSA Classification (USA Only): Exempt Work ...

... automation, AI pilot initiatives, and analytics-driven operational improvements. The ideal ... This is a full-time (40 hours/week), 100% remote position. It is currently funded through September ...

Build alerting and controls to help identify misuse, abuse, or runaway automation * Help answer ... Experience partnering closely with database administrators or data platform teams #LI-Remote This ...

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Data Automation Remote information

What are some typical challenges faced in a Data Automation remote role, and how can they be managed?

In a remote Data Automation role, common challenges include maintaining clear communication with cross-functional teams, managing data security protocols from various locations, and troubleshooting automation scripts without immediate on-site support. To address these, it's important to use robust collaboration tools, establish regular check-ins with your team, and document your automation processes thoroughly. Additionally, staying proactive about cybersecurity best practices and participating in virtual knowledge-sharing sessions can help you stay aligned and effective in a remote environment.

What is a Data Automation Remote job?

A Data Automation Remote job involves designing, implementing, and managing automated processes for handling data, all while working from a remote location. Professionals in this role use software tools and programming languages to streamline data collection, transformation, integration, and reporting tasks. They help organizations save time, reduce errors, and improve data accuracy by automating repetitive or manual data-related workflows. This job often requires knowledge of data management platforms, scripting languages, and cloud-based services. Remote data automation specialists collaborate with teams virtually and may work across various industries.

What are the key skills and qualifications needed to thrive as a Data Automation Specialist in a remote setting, and why are they important?

To excel as a Data Automation Specialist working remotely, you typically need a solid background in data analysis, scripting languages (such as Python or SQL), and a relevant degree in computer science or a related field. Familiarity with automation tools like Alteryx, UiPath, or Apache Airflow, as well as experience with cloud platforms and APIs, is highly valued. Strong problem-solving skills, self-motivation, and effective virtual communication are essential soft skills for thriving in a remote environment. These competencies ensure efficient data workflow automation, smooth collaboration across distributed teams, and successful project delivery.
What cities in Oregon are hiring for Data Automation Remote jobs? Cities in Oregon with the most Data Automation Remote job openings:
Data Engineer, Databricks

$114K - $137K/yr

Full-time

Posted 10 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