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Data Automation Jobs in Washington (NOW HIRING)

Highspring

Senior Manager, Data & Analytics

Mclean, VA · On-site

You have hands-on experience using f data, automation, and AI/ML tools and applications to creatively design, prototype, and implement solutions for your clients. You know that collaboration is key ...

Highspring

Senior Manager, Data & Analytics

Mclean, VA · On-site

You have hands-on experience using f data, automation, and AI/ML tools and applications to creatively design, prototype, and implement solutions for your clients. You know that collaboration is key ...

Noblis

Software Developer

Washington, DC · On-site

By building automation tools, improving data workflows, and supporting program reporting, you will help ensure the Navy's training programs remain efficient, data-driven, and mission ready . Your ...

Autodesk

Business Analytics Manager

Washington, DC · On-site

This role will help accelerate time to insights, reduce manual work, and shape how Finance uses data, automation, and AI to make better business decisions. As a member of the Business Analytics ...

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All JobsData Automation JobsData Automation Jobs in Washington

Data Automation information

See Washington salary details

$12

$50

$83

How much do data automation jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for data automation in Washington is $50.14, according to ZipRecruiter salary data. Most workers in this role earn between $30.97 and $71.75 per hour, depending on experience, location, and employer.

What is data automation?

Data automation in a job context involves using software tools and scripts to automatically collect, process, and manage data, reducing manual effort and increasing efficiency. Data automation specialists often work with programming languages, databases, and automation platforms to streamline data workflows and ensure accuracy.

What are typical responsibilities of a Data Automation professional on a day-to-day basis?

Data Automation professionals are responsible for designing, developing, and maintaining automated workflows that process, cleanse, and move large sets of data across various platforms. On a daily basis, they may create scripts, monitor data pipelines, troubleshoot integration issues, and optimize processes for better efficiency. They frequently collaborate with data analysts, engineers, and business teams to ensure that automated systems align with company goals and provide accurate, timely data. This dynamic environment allows for continuous learning and contributes significantly to data-driven decision-making within organizations.

What are the key skills and qualifications needed to thrive in the Data Automation position, and why are they important?

To excel in Data Automation, you generally need strong analytical skills, fluency with data manipulation, and a background in computer science, data engineering, or a related field. Familiarity with tools such as Python, SQL, ETL platforms, and automation frameworks, as well as relevant certifications like Certified Data Professional (CDP), is highly valued. Problem-solving abilities, attention to detail, and effective collaboration are essential soft skills for this role. These qualifications enable professionals to efficiently streamline data processes, reduce manual errors, and deliver reliable, scalable solutions for business intelligence.

What is a Data Automation job?

A Data Automation job involves designing, developing, and maintaining automated systems to collect, process, and analyze data efficiently. Professionals in this role use programming, scripting, and data integration tools to streamline workflows and reduce manual effort. They work with databases, ETL processes, APIs, and automation frameworks to ensure data accuracy and accessibility. The goal is to improve efficiency, reduce errors, and enable data-driven decision-making. This role is common in industries such as finance, healthcare, e-commerce, and technology.

What is the highest paying data job?

The highest paying data jobs typically include Data Engineering Manager, Data Architect, and Chief Data Officer roles, which often require advanced skills in data architecture, leadership, and experience with tools like cloud platforms and big data technologies. These positions can offer salaries exceeding $150,000 annually, depending on industry and location.

Is AI automation a good career?

AI automation is a growing field with increasing demand for professionals skilled in data automation, machine learning, and programming. Careers in this area often require knowledge of tools like Python, R, and automation platforms, and can offer opportunities in various industries such as finance, healthcare, and technology. It is considered a promising career path due to ongoing technological advancements and the expanding role of AI in business processes.
What are the most commonly searched types of Data Automation jobs in Washington? The most popular types of Data Automation jobs in Washington are:
What are popular job titles related to Data Automation jobs in Washington? For Data Automation jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Data Automation jobs in Washington look for? The top searched job categories for Data Automation jobs in Washington are:
What cities in Washington are hiring for Data Automation jobs? Cities in Washington with the most Data Automation job openings:
Data Automation jobs near you
Infographic showing various Data Automation job openings in Washington as of July 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $104,295 per year, or $50.1 per hour.
DevOps Engineer

DevOps Engineer

Fuse Engineering LLC

Fort George G Meade, MD

$58.50 - $80.25/hr

Other

Re-posted 15 days ago

Job description

Description

The DevOps Engineer delivers automation, integration, and software engineering support for enterprise IT monitoring, logging, and security platforms. This role bridges development and operations to improve reliability, scalability, and compliance.

Key Responsibilities

  • Develop, maintain, and automate installation, configuration, and compliance scripts for COTS and GOTS applications.
     
  • Design and implement data automation pipelines integrating:
     
    • Splunk
       
    • Cribl
       
    • NetFlow/sFlow
       
    • Syslog
       
    • Nagios
       
    • HP NNMi and HPNA
       
  • Support continuous integration and deployment of monitoring and analytics solutions.
     
  • Create automation to support:
     
    • System health monitoring
       
    • Compliance validation
       
    • Alert enrichment and normalization
       
  • Enhance dashboards and analytics through scripted inputs, APIs, and custom data sources.
     
  • Support containerized application monitoring and security event visibility.
     
  • Collaborate with Splunk Architects and System Administrators to improve platform resiliency and performance.
     
  • Provide Tier-4 engineering support for complex software issues, including vendor and FOSS escalation.
     
  • Assist security teams and ISSOs with audit readiness, compliance validation, and reporting automation.
     
  • Document automation workflows, scripts, and system integrations.

Requirements

Top Secret SCI w/ Polygraph Clearance Required


Required Skills

  • Linux and scripting (Python, Bash)
     
  • DevOps tooling and automation practices
     
  • Monitoring and logging platforms (Splunk, Nagios, NetFlow)
     
  • CI/CD concepts and infrastructure automation
     
  • Experience in secure, compliance-driven environments

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