The Junior Data Engineer supports the design, development, and maintenance of data pipelines and data infrastructure. This role focuses on building reliable, scalable data solutions that enable analytics, reporting, and data-driven decision-making across the organization.
Assist in building and maintaining data pipelines (ETL/ELT)
Support data ingestion from internal and external sources
Help clean, transform, and validate data for analytics use
Monitor data jobs and troubleshoot data pipeline issues
Maintain data models, schemas, and documentation
Partner with data analysts and stakeholders to understand data needs
Support data quality, reliability, and governance initiatives
Follow best practices for version control, testing, and deployment
Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience)
Experience with SQL and relational databases
Familiarity with at least one programming language (Python preferred)
Basic understanding of data warehousing concepts
Experience with Git or version control tools
Strong problem-solving and analytical skills
Exposure to cloud platforms (AWS, Azure, or GCP)
Familiarity with ETL tools or orchestration frameworks (Airflow, dbt, Fivetran, etc.)
Understanding of data lakes and modern data stack concepts
Experience working with large or complex datasets