Jr. Data Engineer NOT C2C

Important Note
:
We cannot offer sponsorship or accommodate candidates currently sponsored. This is a full-time role (not C2C).

The Junior Data Engineer supports the design, development, and maintenance of scalable data pipelines that power analytics, reporting, and machine learning initiatives. Working under senior engineers, you will build reliable ETL workflows, optimize database performance, and integrate structured and unstructured data sources.

• Design, build, and maintain scalable ETL/ELT data pipelines.
• Develop batch and streaming workflows using AWS Glue, Spark, and Airflow.
• Integrate data from multiple structured and unstructured sources.
• Write clean, efficient, maintainable code in Python, PySpark, and SQL.
• Monitor, troubleshoot, and improve pipeline reliability and performance.
• Optimize database performance, particularly in PostgreSQL and cloud-based environments.
• Maintain and support AWS infrastructure (EC2, S3, Glue, etc.).
• Implement data validation, quality checks, and monitoring processes.
• Ensure compliance with data governance, security, and regulatory standards.
• Collaborate with data scientists and analysts to translate data requirements into scalable engineering solutions.
• Document data flows, architecture decisions, and technical processes.
• Use AI-assisted development tools to improve speed, testing coverage, and code quality.

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience).
• 2+ years of experience in data engineering, software engineering, or related roles.
• Proficiency in Python, PySpark, and SQL.
• Familiarity with ETL/ELT concepts and data pipeline architecture.
• Experience with relational databases such as PostgreSQL.
• Basic understanding of cloud computing, preferably AWS.
• Experience with distributed data processing frameworks such as Spark.
• Experience working in Linux environments and basic shell scripting.
• Strong analytical and problem-solving skills.
• Collaborative team player with good communication skills.

• Experience with medical claims data.
• Hands‑on experience with AWS services (EC2, S3, Glue, IAM).
• Experience with workflow orchestration tools such as Apache Airflow.
• Understanding of data warehousing concepts and dimensional modeling.
• Familiarity with CI/CD pipelines and version control (e.g., Git).
• Knowledge of data security, governance, and compliance best practices.
• Experience supporting machine learning pipelines or analytics platforms.
• Demonstrated use of AI tools to improve development efficiency.
• Physical requirement: office or remote work, ability to sit at a desk and use a computer.

• Health, dental, and vision insurance with 100% employee premium coverage (starts Day 1).
• Unlimited PTO.
• Annual professional development stipend.
• Annual home office stipend.
• 401(k) match (after 90 days).

Codoxo provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment.