Lenmar Consulting Inc.
Education Management
SrDataEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Sr Data Engineer at Lenmar Consulting Inc.. Skills: Data Engineering, Data Quality, AI Agents, Cloud Platforms. Build and deploy AI agents. Automate data pipelines”
Industry & Context.
Data Investigation; Data Validation; Troubleshoot data; Investigate issues; Apply business logic; Structured analysis
EST business hours, USC & GC only, No H1B, OPT, CPT EAD
What They're Looking For.
Must Have
BS degree in Engineering, Computer Science, or related field / equivalent experience, 10+ years of general experience in quality testing, SQL skills and experience writing complex queries, Professional experience in data engineering, analytics engineering, data quality, software Engineering, or a related field with a focus on data investigation and validation, Exposure to AI-assisted development tools, Hands-on experience applying AI to build and deploy AI agents, Experience working with cloud data platforms and tools, Proficiency in Python or Typescript language, Experience designing or maintaining data quality checks, monitoring, alerting, or observability processes, 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, Ability to support high-priority operational periods and respond effectively to production data issues
Nice to Have
Experience working with BI/reporting tools such as Tableau, QuickSight, or similar platforms is helpful
What You'll Do.
Build and deploy AI agents
Automate data pipelines
Automate testing workflows
Design data quality checks
Maintain data quality checks
Monitor production datasets
Monitor production pipelines
Alert on production datasets
Alert on production pipelines
Investigate issues across systems
Translate ambiguous problems into structured analysis
Translate ambiguous problems into action
How You'll Work.
Team & Collaboration
Work across technical teams; Work across non-technical teams
Communication Scope
Documentation; Collaboration
Full Job Description
Education 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 maintainingdata 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
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