Senior Database Engineer

STRATEGIC STAFFING SOLUTIONS HAS AN OPENING!

This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C eligibility for this position. Visa Sponsorship is Available! The details are below.

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Job Title: Senior Database Engineer

Contract Length:18+ Month contract

Some on site work

Location: Charlotte, NC/ ISELIN, NJ 08830

Pay: 60 per hr on w2

We are seeking a Senior-level Database Engineer to design, build, and optimize large-scale data pipelines within a high-volume enterprise data environment. This role supports critical applications tied to fraud and claims analysis, working across legacy and modern cloud platforms.

The environment is undergoing a major transformation from Teradata to Google Cloud Platform (GCP), requiring hands-on engineering expertise in both existing and target-state architectures.

Key Responsibilities

• Design, develop, and maintain scalable ETL/data pipeline solutions
• Work with large-scale datasets (hundreds of terabytes across hundreds of tables)
• Support migration efforts from Teradata to GCP (BigQuery-based ecosystem)
• Build and optimize pipelines using PySpark and ETL frameworks
• Collaborate with stakeholders across fraud and analytics teams to support data needs
• Ensure performance, reliability, and data quality across pipeline workflows
• Troubleshoot and resolve production issues in distributed data environments
• Work within scheduling and orchestration tools to manage pipeline execution

Required Qualifications

• 5+ years of data engineering or software engineering experience

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• Strong expertise in:
• SQL
• ETL development
• PySpark
• Hands-on experience with:
• Autosys (job scheduling)
• Ab Initio
• Experience building and maintaining large-scale data pipelines
• Ability to work in hybrid environments (on-prem + cloud)

Preferred Qualifications

• Experience with Google Cloud Platform (GCP), especially BigQuery

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• Prior experience with Teradata
• Familiarity with Hadoop ecosystem
• Exposure to tools such as Dremio and distributed storage systems
• Cloud certifications (GCP preferred)

Technical Environment

• Current: Teradata-based platform
• Target: GCP (BigQuery ecosystem)
• Tools & Technologies:
• PySpark
• Hadoop
• Ab Initio
• Autosys
• Dremio
• S3-compatible storage systems