Sr Data Engineer at LenmarConsultingInc

At our company we build reliable, AI-augmented data platforms that turn complex information into clear, actionable insight for teams across the organization. Our work centers on keeping data accurate, accessible, and ready for decision-makers who rely on it every day.

The role

We are hiring a Senior Data Engineer on a contractor basis. The position is fully remote and open to candidates located anywhere, provided they can work during U.S. Eastern Time business hours. We are looking for someone with senior-level experience who can strengthen our data quality practices and help us adopt AI-enabled tooling across our pipelines.

Core responsibilities

• Design, implement, and maintain data-quality checks, monitoring, and alerting so production datasets remain trustworthy and issues surface quickly.
• Investigate data problems across multiple systems, apply business logic, and turn ambiguous questions into clear, structured analysis and fixes.
• Build and deploy AI agents that automate data-pipeline tasks, generate code, and create testing workflows using modern AI-assisted development tools.

Skills and experience

• Bachelor’s degree in Engineering, Computer Science, or a related field, or equivalent professional experience.
• At least ten years of hands-on quality-testing experience, including professional work in data engineering, analytics engineering, data quality, or software engineering with a focus on data investigation and validation.
• Expert-level SQL skills and the ability to write complex queries that analyze, validate, and troubleshoot data across disparate systems.
• Proficiency in Python or TypeScript for automation, testing, and data analysis.
• Practical experience with cloud data platforms such as AWS, Redshift, Athena, Snowflake, or Databricks.
• Familiarity with BI and reporting tools such as Tableau or QuickSight.
• Hands-on exposure to AI-assisted development tools (for example GitHub Copilot or Claude) and direct experience building AI agents that automate data workflows.
• Solid understanding of data structures, data modeling, transformations, and lineage, plus the common sources of data defects.
• Strong written and verbal communication, documentation habits, and the ability to collaborate across technical and non-technical teams.
• English fluency is required; U.S. citizenship or Green Card status on a W-2 basis is necessary for this engagement.

Compensation and benefits

We offer the flexibility of fully remote work and the opportunity to shape how AI tools are integrated into data-engineering processes at scale.

How to apply

If this description matches your background and interests, we encourage you to apply so we can learn more about your experience and discuss how you might contribute to our mission.