Data Automation Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Data Automation Engineer EG-Banha, Egypt (EI Corniche Street) Position: Data Automation Engineer Job Description: As a Data Automation Engineer, you will play a crucial role in developing and maintaining automated data processing systems. You will work closely with data analysts, and other stakeholders to design, implement, and optimize data pipelines, ensuring the efficient and accurate flow of data throughout the organization. What You'll Do: Develop and implement automated data pipelines for ingesting, processing, and storing structured and unstructured data. Integrate data from various sources in both real-time and batch mechanisms and perform transformations to ensure consistency, accuracy, and reliability. Implement data quality checks and monitoring mechanisms to identify and address issues proactively. Write code and scripts for automation of data processes using languages such as Python, Java, or Scala. Leverage ETL (Extract, Transform, Load) tools and frameworks [Apache spark, AWS Glue] for efficient data processing. Collaborate with other intelligent data teams. Ensure seamless data flow for machine learning and analytics applications. Implement monitoring systems to track data pipeline performance and identify areas for optimization. Continuously optimize data processes for efficiency and scalability. Document data processes, system architecture, and codebase for knowledge sharing and future reference. Keep documentation up-to-date with any changes or enhancements to the data infrastructure. Implement and adhere to data security and compliance standards. Collaborate with security teams to ensure data protection and privacy. You're a Perfect Fit If You Have: 1+ years of experience in data engineering, automation, or a related field. Strong understanding of data pipelines

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