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Entry Level Rpa Developer Jobs in Washington (NOW HIRING)

Software Engineer Location : Remote Type : Full Time : We are seeking a motivated Junior Software ... Experience with UiPath or robotic process automation (RPA) tools is a plus but not required.

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Entry Level Rpa Developer information

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$33.4K

$113.6K

$273.5K

How much do entry level rpa developer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for entry level rpa developer in Washington is $113,560.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,900.00 and $120,100.00 per year, depending on experience, location, and employer.

What is an entry level RPA developer?

An Entry Level RPA Developer is responsible for designing, developing, and implementing robotic process automation (RPA) solutions using tools like UiPath, Automation Anywhere, or Blue Prism. They work with business analysts and stakeholders to understand processes and automate repetitive tasks, improving efficiency and accuracy. Typically, they write scripts, test automation workflows, and troubleshoot issues. This role requires basic programming knowledge, logical thinking, and familiarity with RPA tools. It is an excellent starting point for those looking to build a career in automation and process optimization.

What do entry level RPA developers do?

As an Entry Level RPA Developer, you’ll usually work on automating routine business processes using RPA tools under the guidance of senior developers or process analysts. Your daily tasks might include designing, developing, testing, and deploying RPA bots, troubleshooting workflow issues, and documenting solutions. You’ll often collaborate with business stakeholders to understand their processes and ensure the automation meets their needs. This hands-on experience helps you build technical expertise and positions you for advancement to more complex projects and leadership roles over time.

What skills and qualifications are needed to be an entry level RPA developer?

To thrive as an Entry Level RPA Developer, you need foundational programming skills (such as Python, .NET, or Java), logical thinking, and a bachelor's degree in computer science or a related field. Familiarity with RPA platforms like UiPath, Automation Anywhere, or Blue Prism, and optional certifications in these tools, are often required. Strong problem-solving abilities, keen attention to detail, and effective communication skills help you excel in collaborating with teams and understanding business processes. These competencies are essential for developing efficient automation solutions and ensuring smooth project delivery in a technology-driven workplace.

What are the most commonly searched types of Rpa Developer jobs in Washington?

The most popular types of Rpa Developer jobs in Washington are:

What are popular job titles related to Entry Level Rpa Developer jobs in Washington?

For Entry Level Rpa Developer jobs in Washington, the most frequently searched job titles are:

What cities in Washington are hiring for Entry Level Rpa Developer jobs?

Cities in Washington with the most Entry Level Rpa Developer job openings:

Infographic showing various Entry Level Rpa Developer job openings in Washington as of August 2026, with employment types broken down into 83% Full Time, 4% Part Time, and 13% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $113,560 per year, or $54.6 per hour.

Automation / AIOps Engineer

Node.Digital

Washington, DC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago


Job description

Automation / AIOps Engineer

Location: Washington, DC

Preferred: US Citizen

Job Description:

The Automation / AIOps Engineer will be responsible for developing, implementing, and maintaining automation workflows, scripts, orchestration routines, and reusable templates to support provisioning, configuration, maintenance, monitoring response, patching, backup validation, reporting, and other operational activities within FA1. This individual will leverage Infrastructure as Code (IaC), Robotic Process Automation (RPA), and AIOps capabilities to transform repetitive, manual tasks into automated, repeatable, and measurable outcomes. The role includes applying advanced analytics and machine learning-driven insights to proactively identify, correlate, and resolve infrastructure and platform issues, optimize capacity and performance, and reduce mean time to detect (MTTD) and mean time to restore (MTTR).

Requirements

Required Skills:

  • Strong expertise in automation technologies, including Infrastructure as Code (IaC), Robotic Process Automation (RPA), and orchestration tools.
  • Proficiency in AIOps practices, including the use of artificial intelligence and machine learning for operational decision support.
  • Experience in developing and maintaining automation workflows, scripts, and templates.
  • Ability to apply advanced analytics and machine learning models to improve operational outcomes.
  • Technical knowledge of cloud-native environments, virtualization platforms, and enterprise storage systems.
  • Strong problem-solving skills to detect operational drift and emerging failure conditions.
  • Excellent communication and collaboration abilities to work with cross-functional teams and stakeholders.

Nice To Have:

  • Familiarity with natural language processing (NLP), computer vision, and TensorFlow-based ML models.
  • Experience with scikit-learn and pandas for processing operational data at scale.
  • Knowledge of AI/ML pipelines and foundation model prompts.
  • Understanding of FinOps practices and cost management tools.
  • Experience with ServiceNow, monitoring tools, and configuration repositories.
  • Ability to collaborate with infrastructure automation teams and other contractor teams.

Certifications:

  • Relevant certifications in automation technologies, such as Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), or similar.
  • Certifications in AIOps and machine learning, such as AWS Certified Machine Learning - Specialty or Google Cloud Professional Machine Learning Engineer.

Benefits

We are proud to offer competitive compensation and benefits packages to include

  • Medical 
  • Dental
  • Vision
  • Basic Life 
  • Health Saving Account
  • 401K matching
  • Three weeks of PTO/Sick
  • 11 Paid Holidays
  • Pre-Approved Online Training