This is a remote position.

Job Title: Data Engineer

Job Description:

• Assist in building and maintaining ETL/data pipelines using Python and PySpark

• Ingest, transform, and validate data from multiple sources

• Support data modeling and schema design for structured datasets

• Use Git for version control and collaborate with engineering teams

• Perform unit testing, code reviews, and performance optimization

• Contribute to technical documentation of data workflows and pipelines

• Support feature testing and controlled releases in QA/dev environments

• Perform exploratory analysis using Jupyter/Amazon SageMaker notebooks

• Work in a Scrum/Agile environment with clear communication and collaboration

Required Skills:

• Bachelor’s degree in Computer Science, Data Engineering, Data Science, or Statistics

• Experience in Python and PySpark (0–2 years)

• Basic knowledge of Airflow, AWS S3, and AWS Glue

• Familiarity with Git and Jupyter notebooks

• Understanding of Docker/Kubernetes concepts

Tools & Environment:

• JupyterLab / Python IDEs

• GitHub

• Microsoft Teams & Outlook

• EMR Studio

• Jira & Confluence

Additional:

• Strong attention to detail, willingness to learn, and ability to work in a collaborative team environment

Data Engineer

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