Junior Data Engineer - Remote Position

About the Role

We’re hiring a Junior Data Engineer to join our team in a fully remote capacity. This Junior Data Engineer remote position is ideal for motivated individuals who are eager to build, maintain, and optimize data pipelines and infrastructure. You will play a crucial role in supporting analytics and business teams, making a significant impact in a remote-first environment.

What You'll Do

• Develop, maintain, and optimize data pipelines and ETL processes to ensure efficient data flow.
• Collaborate with analysts, data scientists, and engineers to guarantee reliable data delivery across various platforms.
• Assist in designing and implementing data models, data warehouses, and storage solutions.
• Monitor data quality, identify issues, and troubleshoot data-related problems effectively.
• Support the integration of new data sources and tools to enhance our data capabilities.
• Document data pipelines, standards, and best practices for future reference.

Requirements

• 0-3+ years of experience in data engineering, analytics engineering, or related roles (internships included).
• Familiarity with SQL and relational databases is essential.
• Basic understanding of ETL processes and data pipelines.
• Exposure to cloud platforms (e.g., AWS, GCP, Azure) or data tools (e.g., Snowflake, BigQuery) is a plus.
• Analytical mindset with strong attention to detail and problem-solving skills.
• Ability to communicate technical concepts clearly to non-technical stakeholders.
• Comfortable working independently in a remote-first environment.
• Fluent in English and legally authorized to work full-time in the United States.

Nice to Have

• Experience with data visualization tools.
• Knowledge of data governance and compliance standards.

What We Offer

• Fully remote role within the U.S., allowing for a flexible work-life balance.
• Hands-on experience with a wide range of data engineering tools and projects.
• Clear career path toward Data Engineer or Analytics Engineer roles.
• Collaborative and supportive remote-first culture.
• Opportunity to influence data infrastructure and engineering practices.
• Competitive compensation and benefits package.