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Lead ETL Developer with SSIS

Hybrid in Pittsburgh, PA, US • Posted 5 hours ago • Updated 1 hour ago

Contract W2

Contract Corp To Corp

Contract Independent

12 Months

No Travel Required

Able to Sponsor

On-site

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

SQL
Mapping
Microsoft SSIS
Performance Tuning
Recovery
Data Quality
Data Governance
Data Engineering
Reporting
IT Management
Collaboration
Release Management
Extract, Transform, Load
Data Integration
Data Migration
Scalability

Summary

Title: Lead ETL Developer with SSIS

Duration: 1 + year

Location: Pittsburgh/Hermitage PA (Onsite 5 days)

Job Summary:

Client is looking for an experienced Lead ETL Developer with 14 + years of experience in designing, developing, and managing enterprise data solutions. The ideal candidate will have strong expertise in SQL and SSIS, along with deep experience in data integration, ETL development, database design, performance tuning, and leading data engineering initiatives. This role requires both hands-on technical capability and the ability to guide teams, define best practices, and support business-critical data platforms.

Key Responsibilities

Design, develop, and maintain scalable data pipelines and ETL workflows using SSIS.
Build, optimize, and manage complex SQL queries, stored procedures, functions, and database objects.
Lead data engineering projects involving data migration, integration, transformation, and consolidation.
Architect and maintain robust data solutions for enterprise reporting, analytics, and operational systems.
Collaborate with business analysts, data analysts, developers, and stakeholders to understand data requirements and deliver effective solutions.
Monitor and improve database and ETL job performance, reliability, and scalability.
Ensure data quality, consistency, and integrity across multiple source systems and target platforms.
Troubleshoot production issues and provide root cause analysis for ETL and database-related problems.
Create and maintain technical documentation including data flow diagrams, mapping documents, and process definitions.
Implement best practices for data governance, security, backup, recovery, and compliance.
Mentor junior and mid-level data engineers and provide technical leadership to the team.
Participate in solution design, code reviews, release planning, and deployment activities

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10111282
Position Id: 9009298
Posted 5 hours ago

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