Sr Data Engineer (USC & GC only - Max $75/hr W2)
Please mention DailyRemote when applying
AI Summary
The role focuses on data investigation, validation, and the development of AI agents to automate data pipelines and testing workflows. It involves maintaining data quality checks and monitoring production datasets across cloud platforms.
Company Description
Education
Job Description
USC and GC only on W2 – No H1B, OPT, CPT EAD at this time
Remote - available for EST business hours
Skills: Quality Testing, AI-enabled tools, AWS / Databricks, Tableau / QuickSight, Data Modeling, Data Investigation and Validation, Data Structures, Typescript / Python, Copilot
- 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 Typescript 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.
Additional Information
All your information will be kept confidential according to EEO guidelines.
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