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Workflow Automation Engineer Jobs (NOW HIRING)

Node.Digital

AWS Data Automation Engineer

Arlington, TX · On-site

$150 - $200/hr

AWS Data Automation Engineer Location: Arlington, VA Must have an active Top Secret Security ... Create automation workflows for malware sample collection, detonation, and taxonomy * Implement ...

Minted

$125 - $150/hr

Create end‑to‑end automated workflows that reduce manual tasks and improve efficiency * Build ... Programming: Proficiency in Python, JavaScript, or TypeScript for automation and integration ...

Joerns Healthcare

Data & Automation Engineer

Charlotte, NC · On-site

$110K - $125K/yr

A detail-oriented engineer who's comfortable owning end-to-end data workflows -- from source system ... Troubleshoot and maintain automation, reporting, and database solutions * Bachelor's degree in ...

Argo Cyber Systems

AI/ML Automation Engineer

Arlington, VA · On-site

$120K - $135K/yr

This role combines machine learning engineering, generative AI, cloud-native development, and workflow automation to build scalable AI solutions supporting national cybersecurity missions. Position ...

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Workflow Automation Engineer information

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$37K

$107.1K

$163K

How much do workflow automation engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for workflow automation engineer in the United States is $107,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,500.00 and $123,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a workflow automation engineer?

To thrive as a Workflow Automation Engineer, you need a strong background in process analysis, scripting or programming, and a degree in computer science, information systems, or a related field. Familiarity with automation platforms such as UiPath, Microsoft Power Automate, Zapier, or similar tools, along with certifications like UiPath Certified RPA Associate, are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help you understand stakeholder needs and implement robust solutions. These skills are crucial for streamlining business processes, improving efficiency, and ensuring successful adoption of automation initiatives.

How does a workflow automation engineer typically collaborate with other departments within an organization?

Workflow Automation Engineers frequently work cross-functionally, partnering with teams such as operations, IT, and business analysts to identify processes that can be automated and to ensure solutions align with business goals. They often facilitate discovery sessions to map out process flows, gather requirements, and validate that automation initiatives address real pain points. Strong communication and project management skills are essential, as these engineers must translate technical concepts into actionable steps for non-technical stakeholders and coordinate implementation across multiple teams.

What is the difference between Workflow Automation Engineer vs Business Analyst?

AspectWorkflow Automation EngineerBusiness Analyst
Primary FocusDesigning and implementing automation solutions to optimize workflowsAnalyzing business processes to identify improvements and requirements
Skills & CertificationsKnowledge of automation tools (e.g., UiPath, Automation Anywhere), scripting, process mappingBusiness analysis, process modeling, communication skills, certifications like CBAP
Work EnvironmentIT teams, automation platforms, technical settingsBusiness units, project teams, cross-functional environments
Industry UsageTech, finance, healthcare, manufacturingFinance, consulting, healthcare, retail

The Workflow Automation Engineer focuses on creating technical automation solutions to streamline processes, while the Business Analyst concentrates on understanding and improving business workflows through analysis and requirements gathering. Both roles often collaborate but serve different core functions within organizations.

Is workflow automation in demand?

Workflow automation is in high demand across industries as companies seek to improve efficiency and reduce manual tasks. Roles like Workflow Automation Engineer are growing, often requiring skills in tools such as Zapier, UiPath, or Power Automate, and certifications can enhance job prospects.

What does a workflow automation engineer do?

A workflow automation engineer designs, develops, and implements automated processes to improve efficiency and reduce manual tasks within organizations. They often use tools like scripting languages, automation platforms, and workflow management software to streamline business operations and ensure reliable system performance.

What cities are hiring for Workflow Automation Engineer jobs?

Cities with the most Workflow Automation Engineer job openings:

What states have the most Workflow Automation Engineer jobs?

States with the most job openings for Workflow Automation Engineer jobs include:

What are popular job titles related to Workflow Automation Engineer jobs?

For Workflow Automation Engineer jobs, the most frequently searched job titles are:

Infographic showing various Workflow Automation Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 92% Full Time, 3% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $107,126 per year, or $51.5 per hour.

AWS Data Automation Engineer

Arlington, VA • On-site

Node.Digital
Software Development • 11 - 50 employees
Learn more about Node.Digitalexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Job description

AWS Data Automation Engineer 

Location: Arlington, VA

Must have an active Top Secret Security Clearance

Node is supporting a U.S. Government customer to provide support for onsite incident response to civilian Government agencies and critical asset owners who experience cyber-attacks, providing immediate investigation and resolution.  Contract personnel perform investigations to characterize the severity of breaches, develop mitigation plans, and assist with the restoration of services. 

Node is seeking an AWS Data Automation Engineer to support this critical customer mission.

The Data Automation Engineer will develop and implement automation solutions to support technology integration activities, focusing on data pipeline development, automated analysis workflows, and integration automation. This role addresses manual workflow pain points and enables scaling of technology capabilities through intelligent automation.

Responsibilities:

- Develop automated data pipelines for technology integration initiatives

- Create automation workflows for malware sample collection, detonation, and taxonomy

- Implement data integration automation between pilot and production systems

- Support Automated Malware Analysis (AMA) platform development and enhancement

- Develop scripts and tools to automate repetitive technical tasks

- Create data transformation and normalization automation

- Support AI/ML data preparation and feature engineering automation

- Develop monitoring and alerting automation for integrated systems

- Implement API integrations for data sharing and workflow automation

- Document automation solutions and maintain code repositories

- Support scaling automation from pilot to production environments

- Optimize automation performance and efficiency

- Collaborate with analysts to identify automation opportunities

- Ensure automation solutions maintain data quality and integrity

- Support continuous improvement of automated capabilities

Requirements

Required Skills:
- U.S. Citizenship
- Active Secret clearance; TS/SCI preferred
- Ability to obtain Department of Homeland Security (DHS) Entry on Duty (EOD) Suitability
- 5+ years of experience in automation engineering, data engineering, or software development
- Subject matter expertise of core AWS components including VPCs, EC2, EKS, IAM, SQS, SNS, Lambda, and Route 53
- Experience with data ingestion pipeline design on AWS
- Experience with S3 data storage architecture and schema design for analytic workflows
- Strong programming skills in Python, with experience in data manipulation libraries
- Experience developing data pipelines and ETL processes
- Knowledge of automation frameworks and orchestration tools
- Experience with APIs and integration technologies
- Understanding of database systems and data modeling
- Familiarity with version control (Git) and CI/CD practices
- Strong problem-solving and analytical skills
- Ability to translate business requirements into automated solutions
- Strong analytical and problem-solving skills
- Excellent documentation and communication abilities
Desired Skills:
- Experience with malware analysis automation or cybersecurity tools
- Experience with AWS support service configurations (AWS Budget, EMR, Kinesis, GuardDuty, Cloudwatch, OpsWorks)
- Knowledge of AI/ML pipelines and data preparation
- Experience with workflow orchestration tools (Airflow, Prefect)
- Background in cybersecurity or threat intelligence automation
- Experience with containerization and orchestration (Docker, Kubernetes)
- Knowledge of streaming data platforms (Kafka, Kinesis)
- Familiarity with big data technologies (Spark, Hadoop)
- Experience supporting federal cybersecurity programs
Required Education:
BS in Computer Science, Data Science, or related degree, or HS Diploma and 7+ years of directly relevant experience
Desired Certifications:
- DoD 8140 IAT Level III
- CSSLP

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

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