Data Engineer (

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

Job Summary

We are currently looking for a Data Engineer (Remote) in the United States. This role offers the opportunity to help build and enhance cloud-based data tools and reporting systems that drive critical business decisions.

Key Responsibilities

• Construct, optimize, and maintain datasets using SQL queries, views, and stored procedures with Redshift and PostgreSQL.
• Develop and maintain data pipelines for ingestion, transformation, and reporting using AWS services such as Glue, Lambda, and Python.
• Collaborate with business and technical teams to understand requirements and translate them into effective data solutions.
• Build reusable tools, participate in CI/CD pipelines, and implement automated testing for data solutions.
• Integrate security and compliance requirements into all data engineering solutions.
• Contribute to code reviews, documentation, and knowledge-sharing within the team.
• Leverage GenAI tools (e.g., GitHub Copilot, Microsoft Copilot) to enhance productivity, troubleshoot code, and adopt new technologies efficiently.

Requirements

• 1+ years of experience writing SQL queries in Redshift or PostgreSQL.
• Some experience with Python, Java, C#, or similar programming languages.
• Familiarity with AI-assisted coding tools such as Microsoft Copilot or GitHub Copilot.
• Exposure to AWS services (Glue, Lambda) and cloud-based data workflows.
• Understanding of CI/CD pipelines and Git version control.
• Experience with BI tools such as Looker is a plus.
• Strong analytical, problem-solving, and communication skills, with the ability to work independently and collaboratively.

Benefits

• Competitive compensation package with bonus plan.
• Comprehensive healthcare coverage, including medical, dental, vision, and 401(k) matching.
• Flexible remote work options with hybrid or in-office opportunities.
• Generous paid time off, including vacation, sick leave, volunteer time, and 12 paid holidays.
• Supportive work environment focused on inclusion, career development, wellness, and recognition.
• Opportunity to work with cutting-edge data tools and AI technologies.