Junior Data Engineer

Altimetrik; United States; Remote; USD 97,000 - 720,000; Full time

Job summary

A leading technology company is seeking a motivated Entry-Level Data Engineer to join their remote engineering team. This role involves building data pipelines using Apache Airflow, designing ETL workflows, and working with cloud services like AWS. Ideal candidates will have a Bachelor's degree in Computer Science or Data Engineering and a strong foundation in Python. The position offers an opportunity to grow skills in a collaborative environment focusing on data engineering best practices.

Qualifications

• Experience with Airflow and building or maintaining ETL/data pipelines.
• Understanding of SQL and relational or NoSQL databases.
• Strong written and verbal communication skills.

Responsibilities

• Build and maintain data pipelines using Apache Airflow.
• Design and implement ETL workflows for data processing.
• Collaborate with data scientists and analysts for data needs.

Skills

Python

Data structures and algorithms

Problem-solving

Attention to detail

Communication

Education

Bachelor’s degree in Computer Science, Data Engineering, or related field

Master’s degree (preferred)

Tools

Apache Airflow

AWS

SQL

NoSQL databases

Scala

Job description

Location: Remote

Job Type: Full-Time

About the Role

We are seeking a highly motivated and technically capable Entry-Level Data Engineer to join our engineering team. If you're passionate about working with data, eager to grow your skills in a collaborative environment, and have experience (internships/projects) in building data pipelines, this is the right opportunity for you.

Key Responsibilities

• Build and maintain data pipelines using Apache Airflow and other orchestration tools
• Design and implement ETL workflows that process and transform structured and unstructured data
• Write clean, maintainable, and scalable code in Python and contribute to data engineering best practices
• Work with cloud-based services (AWS preferred) to manage and process data at scale
• Collaborate with data scientists, analysts, and backend engineers to support data needs across the organization
• Assist in monitoring and optimizing pipeline performance and data quality

Basic Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, or related field (Master’s preferred)
• Proficient in Python with exposure to data structures and algorithms
• Experience with Airflow and building or maintaining ETL/data pipelines
• Exposure to Scala or interest in learning it
• Understanding of SQL and working with relational or NoSQL databases
• Excellent problem-solving skills and attention to detail
• Strong written and verbal communication skills

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Software Development

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