RedPontis is seeking a motivated and detail-oriented Junior Data Engineer to help build, maintain, and optimize their data pipelines and infrastructure. The role involves collaborating with analysts, data scientists, and engineers to ensure reliable data delivery and support analytics and business teams in a remote-first environment.

Responsibilities:

Develop, maintain, and optimize data pipelines and ETL processes
Collaborate with analysts, data scientists, and engineers to ensure reliable data delivery
Assist in designing and implementing data models, warehouses, and storage solutions
Monitor data quality, identify issues, and troubleshoot data-related problems
Support integration of new data sources and tools
Document data pipelines, standards, and best practices

Requirements:

Junior Level (0–3+ years experience)
Experience in data engineering, analytics engineering, or related roles (internships included)
Familiarity with SQL and relational databases
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 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
Based in the United States with legal authorization to work full-time

Red Pontis

Open Positions (1)

Engineering

Junior Data Enginer