Senior Data Engineer (Max $75/hr W2)

Education

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, you'll help ensure that the data powering our products, reporting, and operational workflows is accurate, complete, timely, and trustworthy. You'll 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 learner's 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.

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