Data Engineer

Skills this role screens for

About the role

NXP is hiring for the role of Data Engineer!

The work

Responsibilities of the Candidate

• Help build and maintain data pipelines on Databricks under guidance.
• Develop ETL/ELT processes with attention to data quality, consistency, and scalability.
• Contribute to reusable frameworks for ingestion, transformation, and reconciliation across source systems.
• Follow established engineering standards — coding standards, pipeline patterns, and ETL/ELT best practices.
• Assist with deploying changes through CI/CD and the Change Request (CR) lifecycle, including validation and ticket closure.
• Participate in problem-solving and root-cause analysis, learning to drive permanent fixes over recurring firefighting.
• Help monitor data workloads and support incident response with guidance from senior engineers.
• Work with Reporting, Platform, and Business teams to help deliver curated datasets for downstream consumers.
• Communicate progress and issues clearly to engineering peers and mentors.
• Document workflows and runbooks to support reproducibility and knowledge sharing.

Who they want

Requirements

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 1+ years of experience (including internships) in data engineering or a related area — fresh graduates with relevant internships are encouraged to apply.
• Foundational hands-on knowledge of Databricks, Python (PySpark), and SQL for data processing.
• Exposure to building data pipelines (ETL/ELT), through projects, internships, or coursework.
• Basic understanding of CI/CD pipelines and Git-based version control.
• Familiarity with cloud platforms (AWS preferred) or willingness to learn.
• Awareness of monitoring and observability concepts.
• Good communication skills and eagerness to learn.