Junior Data Engineer (100% Remote)

Matricstek Inc. is urgently seeking a highly skilled Junior Data Engineer (100% Remote) to join our rapidly growing remote-first team. If you are passionate about technology and want to work on high-impact projects, this is the role for you.

Core Tech Stack & Keywords: Apache Spark, Hadoop, Kafka, Airflow, Snowflake, AWS Redshift, ETL/ELT pipelines, Python, Scala, Databricks, NoSQL

As a key member of our Engineering department, you will design, build, and optimize scalable systems. We are a US-based remote company that highly values innovation, clean code, and fast iteration.

Key Responsibilities:

• Design and develop robust, scalable, and highly available technical solutions utilizing Apache Spark, Hadoop, Kafka.
• Collaborate seamlessly with cross-functional teams (Product, Design, QA) in an Agile/Scrum environment.
• Drive technical excellence by participating in code reviews, CI/CD pipeline improvements, and architecture design.
• Troubleshoot and optimize application performance bottlenecks in production environments.

Must-Have Qualifications:

• Proven professional experience working as a Data Engineer.
• Deep, hands-on technical expertise in: Apache Spark, Hadoop, Kafka, Airflow, Snowflake, AWS Redshift, ETL/ELT pipelines, Python, Scala, Databricks, NoSQL.
• Strong foundation in computer science fundamentals, data structures, and algorithms.
• Excellent problem-solving skills and ability to work autonomously in a 100% remote setting.
• 0-2 years of commercial experience in software development or data engineering.
• Must be legally authorized to work in the United States without sponsorship.

Matricstek Inc. is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.