Lenmar Consulting Inc.
Education Management
SeniorDataEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Senior Data Engineer at Lenmar Consulting Inc.. Skills: Data Quality, Data Engineering, AI-enabled tools. Ensure data is accurate, complete, timely, and trustworthy. Design data quality checks”
What You'll Achieve.
Improve confidence in data
Industry & Context.
Investigation; Analysis; Remediation; Structured Analysis; Troubleshoot Data
USC and 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, Proficiency in Python or type script language, Experience designing or maintaining data quality checks, monitoring, alerting, or observability processes, 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.
Ensure data is accurate
Design data quality checks
Implement data quality checks
Design monitoring processes
Implement monitoring processes
Design remediation processes
Implement remediation processes
Identify issues early
Reduce operational risk
Improve confidence in data
Automate data pipelines
Write testing workflows
How You'll Work.
Team & Collaboration
Cross-functional collaboration; Work with engineers; Work with analysts; Work with product teams; Work with business stakeholders; 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 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 datas
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