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Data Automation Engineer Jobs (NOW HIRING)

IC Automation

Automation Engineer

Solon, OH

Develops control and automation system designs by studying project concepts, objectives and ... data to identify and resolve performance problems. * Documents engineering design by recording ...

IC Automation

Automation Engineer

Solon, OH · On-site

Develops control and automation system designs by studying project concepts, objectives and ... data to identify and resolve performance problems. * Documents engineering design by recording ...

FIS Amount

Automation Engineer

Chicago, IL

$80K - $100K/yr

You'll also experiment with AI-powered testing tools to accelerate coverage, generate test data ... Test Automation Engineer, Software Automation Engineer, Quality Automation Engineer, Automation ...

IC Automation

Automation Engineer

Solon, OH · On-site

Develops control and automation system designs by studying project concepts, objectives and ... data to identify and resolve performance problems. * Documents engineering design by recording ...

JSat Automation

MES Automation Engineer

Concord, MA · On-site

Job Title: MES Automation Engineer. We are looking for MES Automation Engineer, to provide ... Work in a way that models respect for safety and EHS, quality compliance, data integrity, and ...

TEEMA

Automation Engineer

Richmond, VA · Remote

Automation Engineer - Power Automate (Healthcare Operations) Contract to Permanent We're hiring an ... Use AI tools to clean and interpret data from forms and communications * Monitor automation ...

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All JobsData Automation Engineer Jobs

Data Automation Engineer information

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$37K

$107.1K

$163K

How much do data automation engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for data 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 some typical challenges a Data Automation Engineer faces when integrating new automation tools into existing data pipelines?

Data Automation Engineers often encounter challenges related to compatibility and scalability when introducing new automation tools to established data pipelines. Legacy systems may have limitations that require creative solutions to ensure seamless integration without disrupting ongoing processes. Additionally, maintaining data quality and consistency during transitions is critical, as is collaborating with cross-functional teams—such as data analysts, IT, and software developers—to align on requirements and troubleshoot issues. Proactive communication and thorough documentation can help overcome these challenges and ensure successful automation implementation.

What are Data Automation Engineers?

Data Automation Engineers are professionals who design, develop, and maintain automated systems to collect, process, and analyze data. They use programming, scripting, and various data tools to streamline data workflows, reduce manual intervention, and improve efficiency. Their work often involves building data pipelines, integrating data from multiple sources, and ensuring data quality and reliability. By automating repetitive data tasks, they help organizations make faster, data-driven decisions. Data Automation Engineers typically collaborate with data analysts, data scientists, and IT teams to support business objectives.

What are the key skills and qualifications needed to thrive as a Data Automation Engineer, and why are they important?

To thrive as a Data Automation Engineer, you need strong skills in programming (such as Python or Java), data integration, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, automation frameworks (like Apache Airflow), and cloud platforms (such as AWS or Azure) is also essential, along with relevant certifications. Attention to detail, problem-solving abilities, and effective communication are key soft skills for identifying automation opportunities and collaborating across teams. These skills are crucial for designing efficient, scalable solutions that streamline data workflows and support business intelligence needs.

What is the difference between Data Automation Engineer vs Data Analyst?

AspectData Automation EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of scripting and automation toolsBachelor's in Statistics, Math, or related; proficiency in data visualization and analysis tools
Work EnvironmentFocus on developing automation pipelines, scripting, and optimizing data workflowsFocus on interpreting data, creating reports, and providing insights
Employer & Industry UsageTech companies, data-driven organizations, IT departmentsMarketing firms, finance, healthcare, research institutions

The main difference is that Data Automation Engineers focus on building and maintaining automated data processes, while Data Analysts interpret data to generate insights. Both roles require strong technical skills, but their core responsibilities differ significantly.

More about Data Automation Engineer jobs
What cities are hiring for Data Automation Engineer jobs? Cities with the most Data Automation Engineer job openings:
What states have the most Data Automation Engineer jobs? States with the most job openings for Data Automation Engineer jobs include:
What job categories do people searching Data Automation Engineer jobs look for? The top searched job categories for Data Automation Engineer jobs are:
Data Automation Engineer jobs near you
Infographic showing various Data Automation Engineer job openings in the United States as of June 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $107,126 per year, or $51.5 per hour.
Data & Automation Engineer (Q Clearance) with Security Clearance

Data & Automation Engineer (Q Clearance) with Security Clearance

ShorePoint, Inc

Herndon, VA • Remote

Other

Medical, Retirement, PTO

Posted 17 days ago

Job description

Who we are: ShorePoint is a fast-growing, industry recognized and award-winning cybersecurity services firm with a focus on high-profile, high-threat, private and public-sector customers who demand experience and proven security models to protect their data. ShorePoint subscribes to a "work hard, play hard" mentality and celebrates individual and company successes. We are passionate about our mission and going above and beyond to deliver for our customers.

We are equally passionate about an environment that supports creativity, accountability, diversity, inclusion and a focus on giving back to our community. The Perks: As recognized members of the Cyber Elite, we work together in partnership to defend our nation's critical infrastructure while building meaningful and exciting career development opportunities in a culture tailored to the individuals technical and professional growth. We are committed to the belief that our team members do their best work when they are happy and well cared for.

In support of this philosophy, we offer a comprehensive benefits package, including major carriers for health care providers. Highlighted benefits offered: 144 hours of PTO, 11 holidays, 85% of insurance premium covered, 401k, continued education, certifications maintenance and reimbursement and more. Who we're looking for: We are seeking a Data & Automation Engineer with experience supporting document scanning, classification and automation solutions within Microsoft 365 environments.

This role supports the development of tools and processes to analyze, manage and migrate large volumes of documents across SharePoint and network file systems. The ideal Data & Automation Engineer will have experience in Python and PowerShell scripting, with an interest in data processing, automation and emerging AI capabilities. This is a unique opportunity to shape the growth, development and culture of an exciting and fast-growing company in the cybersecurity market.

What you'll be doing: * Support development of Python-based tools for document scanning, extraction and processing. * Assist in automating workflows using PowerShell and Microsoft 365 services. * Work with SharePoint Online libraries, metadata and document structures.

* Contribute to data migration activities from file shares to SharePoint Online. * Help implement and test document classification and records management processes. * Analyze file metadata and content to support categorization and compliance efforts.

* Collaborate with senior engineers on integrating AI services (e.g., Azure OpenAI). * Perform testing, validation and troubleshooting of automation pipelines. * Document scripts, processes and technical configurations.

What you need to know: * Working knowledge of scripting concepts for automation, including Python and PowerShell, in support of data processing and workflow development. * Understanding of how documents, metadata and file structures are organized and managed within Microsoft 365 and SharePoint Online environments. * Familiarity with concepts related to document classification, data organization and migration across file systems and enterprise platforms.

Must have's: * 3+ years of relevant experience. * Bachelor's degree or Associate's degree plus two (2) years relevant experience OR High School Diploma/GED plus four (4) years relevant experience. * Experience with Python scripting.

* Experience with PowerShell scripting. * Understanding of SharePoint Online and Microsoft 365 ecosystem. * Experience with data handling, file systems or data migration concepts.

* Strong analytical and problem-solving skills. * Strong attention to detail and ability to work with large datasets. * Willingness to learn and grow in AI-enabled solutions.

* Proven ability to analyze complex requirements and translate them into clear, actionable tasks and processes through critical thinking. * Applicants must currently hold and maintain an active DOE Q or equivalent DoD Top Secret clearance. Beneficial to have: * Bachelor's degree in Cybersecurity, Computer Science, Information Technology, Engineering or a related field.

* Industry recognized certifications. * Knowledge of records management or information governance concepts. * Exposure to Azure services or cloud-based tools.

* Experience working with structured and unstructured data. Where it's done: * Remote (Herndon, VA).

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