Data Engineer

EXL

Data Engineer improving enterprise data platforms for a leading telecom client. Ensuring ETL reliability, resolving production issues, and delivering platform enhancements.

Posted 8/30/2026full-timePhiladelphia • Pennsylvania • 🇺🇸 United StatesMid-LevelSenior💰 $70,000 - $100,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in ETL Operations, Data Engineering, and Analytics Engineering, with a strong focus on SQL skills, database performance tuning, and stakeholder management. Proven ability to drive continuous improvement and operational stability in enterprise data platforms.

Highest-signal resume keywords

ETL OperationsSQL SkillsRoot Cause AnalysisDatabase Performance TuningStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringAnalytics EngineeringETL DevelopmentSQLIncident ManagementProduction SupportCapacity PlanningProcess OptimizationTroubleshootingTechnical Requirements Review

Soft Skills

CommunicationClient EngagementStakeholder Alignment

Tools & Technologies

SQL Server

Industry Keywords

Enterprise Data PlatformsETL WorkflowsOperational DocumentationRisk Escalation

Tech Stack

Tools & technologies

ETLSQL

About the role

Key responsibilities & impact

Drive stability, availability, and continuous improvement of enterprise data platforms through ETL operations, infrastructure support, stakeholder request management, and process optimization.
Monitor daily ETL workflows, troubleshoot production issues, perform root cause analysis (RCA), and implement preventive solutions.
Review technical requirements and code changes, test and deploy enhancements, and coordinate with vendors and upstream teams to incorporate source system changes.
Monitor database and server performance, capacity, and resource utilization, proactively addressing issues and bottlenecks.
Maintain operational documentation and manage client communications, including status updates, stakeholder alignment, and risk escalation.

Requirements

What you’ll need

3-5 years of experience in Data Engineering, Analytics Engineering, ETL Development, or a related field.
Strong hands-on SQL skills with experience supporting production ETL workloads.
Proven experience in ETL operations, production support, incident management, and root cause analysis.
Strong understanding of database performance tuning, server resource management, and capacity planning; SQL Server experience is a plus.
Excellent communication and stakeholder management skills, with the ability to effectively engage client teams and navigate ambiguity.
Bachelor's Degree

Benefits

Comp & perks

Bonus
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