Data Engineer

Job Title: Data Engineer

Company: Aaratech Inc.

Experience: 2+ years

Compensation: $70,000 – $80,000 per year

Work Authorization

At this time, we are only able to consider candidates who are authorized to work in the United States without sponsorship.

Job Summary

Aaratech Inc. is seeking a Data Engineer. In this role, you will design, develop, and maintain scalable data pipelines while supporting enterprise data integration, analytics, and business intelligence initiatives.

Key Responsibilities

• Design, develop, and maintain ETL/ELT data pipelines.
• Build and optimize data integration workflows from multiple enterprise data sources.
• Develop SQL queries and data transformation processes.
• Monitor data quality, integrity, and pipeline performance.
• Troubleshoot and resolve data processing issues.
• Collaborate with Data Analysts, Business Analysts, and Software Engineers to support reporting and analytics requirements.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field.
• 2+ years of experience in Data Engineering, ETL Development, Data Integration, or Database Development.
• Experience with SQL, relational databases, and ETL tools such as Azure Data Factory, SSIS, Informatica, or Talend.
• Basic knowledge of data warehousing concepts and cloud data platforms.
• Strong analytical, communication, and problem-solving skills.

Preferred Skills

• Experience with Azure, AWS, or Google Cloud data services.
• Knowledge of Snowflake, Databricks, or Amazon Redshift.
• Basic Python programming or scripting skills.
• Experience with Power BI or Tableau.
• Any certifications such as Microsoft Azure Data Engineer Associate, AWS Certified Data Engineer, or Snowflake certifications are a plus.

About Aaratech Inc.

Aaratech Inc. is a technology-driven organization focused on delivering innovative solutions across cybersecurity, healthcare, and enterprise domains. We are committed to helping organizations build scalable data platforms, optimize data workflows, and enable data-driven decision-making through modern technologies and innovative engineering solutions.