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Data Automation Engineer Jobs (NOW HIRING)

Franklintempleton

Data & Automation Engineer

New York, NY

$125K - $150K/yr

ClearBridge Investments is seeking a highly skilled and motivated Data Engineer who also possesses robust data analysis capabilities to design, build, and maintain our data infrastructure and ...

Franklin Templeton

Data & Automation Engineer

New York, NY · On-site

$125K - $150K/yr

ClearBridge Investments is seeking a highly skilled and motivated Data Engineer who also possesses robust data analysis capabilities to design, build, and maintain our data infrastructure and ...

Saige Partners

Data Automation Specialist

San Jose, CA

$50 - $60/hr

Position: Senior Data Automation Specialist (San Jose, CA) A Data Automation Specialist designs ... Hours you will be work as a AI Automation & Tools Engineer: First shift (8am-5pm), Monday through ...

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$107.1K

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How much do data automation engineer jobs pay per year?

As of Jul 2, 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.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data processing and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data infrastructure, and their expertise is crucial for integrating AI tools effectively. The role continues to evolve, emphasizing skills in cloud platforms, programming, and data architecture.

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 does a data automation engineer do?

A data automation engineer designs, develops, and maintains systems that automate data collection, processing, and analysis to improve efficiency and accuracy. They often work with tools like scripting languages, ETL platforms, and cloud services to streamline data workflows and support data-driven decision-making.

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.

What engineers make $300,000 a year?

Senior data automation engineers, especially those with extensive experience, advanced skills in scripting, cloud platforms, and automation tools, can earn $300,000 or more annually. High compensation is often associated with roles in large organizations, specialized expertise, or leadership positions in data engineering and automation fields.

What engineers make $500,000?

Senior data automation engineers with extensive experience, specialized skills in scripting, cloud platforms, and automation tools can earn $500,000 or more annually, especially in high-cost-of-living areas or within large organizations. Achieving this level often requires advanced certifications, leadership roles, and a strong track record of delivering complex automation solutions.
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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 7% As Needed, 86% Full Time, and 7% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $107,126 per year, or $51.5 per hour.

Data Automation Engineer with Security Clearance

Nightwing

Arlington, VA • On-site

Other

Posted 13 days ago

Job description

Nightwing provides technically advanced full-spectrum cyber, data operations, systems integration and intelligence mission support services to meet our customers' most demanding challenges. Our capabilities include cyber space operations, cyber defense and resiliency, vulnerability research, ubiquitous technical surveillance, data intelligence, lifecycle mission enablement, and software modernization. Nightwing brings disruptive technologies, agility, and competitive offerings to customers in the intelligence community, defense, civil, and commercial markets.

Nightwing 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.

Nightwing is seeking a 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 Required Skills: - U.S. Citizenship - A ctive TS/SCI clearance - 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 - S trong 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 - 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) - E xperience 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 8 140 IAT Level II I - CSSLP Syndeo: ESS-3425 At Nightwing, we value collaboration and teamwork. You'll have the opportunity to work alongside talented individuals who are passionate about what they do.

Together, we'll leverage our collective expertise to drive innovation, solve complex problems, and deliver exceptional results for our clients. Thank you for considering joining us as we embark on this new journey and shape the future of cybersecurity and intelligence together as part of the Nightwing team. Nightwing is An Equal Opportunity/Affirmative Action Employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

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