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. “Beware of scams. S3 never asks for money during its onboarding process.” 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 • 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 • 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