Senior Data Engineer (Max 75hr W2)

USC and GC only on W2 No H1B OPT CPT EAD at this time

Data Quality Engineering & Monitoring (45%)

Investigation Analysis & Remediation (35%)

Governance Documentation & Team Success (20%)

Skills: AI-enabled tools AWS / Databricks Tableau / QuickSight Data Modeling Data Structures Typescript / Python Copilot

As a Senior Data Engineer youll help ensure that the data powering our products reporting and operational workflows is accurate complete timely and trustworthy. Youll design and implement data quality checks monitoring and remediation processes across pipelines and platforms working closely with engineers analysts product teams and business stakeholders. Your work will help identify issues early reduce operational risk and improve confidence in the data used to support critical decisions and digital assessment experiences. This role blends hands-on technical investigation automation and cross-functional collaboration.

About You

• BS degree in Engineering Computer Science or related field / equivalent experience
• 10 years of general experience in quality testing
• Strong SQL skills and experience writing complex queries to analyze validate and troubleshoot data across multiple systems.
• Professional experience in data engineering analytics engineering data quality software Engineering or a related field with a strong focus on data investigation and validation.
• Exposure to AI-assisted development tools (e.g. GitHub Copilot Claude) and hands-on experience applying to build and deploy AI agents that automate data pipelines write code and testing workflows.
• Experience working with cloud data platforms and tools such as AWS Redshift Athena Snowflake Databricks or similar technologies.
• Proficiency in Python or type script language used for automation testing and data analysis.
• Experience designing or maintaining data quality checks monitoring alerting or observability processes for production datasets or pipelines.
• Strong understanding of data structures data modeling transformations lineage and common sources of data defects.
• Ability to investigate issues across systems apply business logic and translate ambiguous problems into structured analysis and action.
• Experience working with BI/reporting tools such as Tableau QuickSight or similar platforms is helpful.
• Strong communication documentation and collaboration skills with the ability to work effectively across technical and non-technical teams.
• A learners mindset curiosity about emerging technologies and AI-enabled tools and a drive to improve systems and processes continuously.
• Ability to support high-priority operational periods and respond effectively to production data issues when needed.
• Strong interpersonal and consultative skills.
• Highly self-motivated and directed with keen attention to detail.
• Strong leadership skills and customer satisfaction orientation.

Additional Information :

All your information will be kept confidential according to EEO guidelines.

Remote Work :

No

Employment Type :

Contract