Location: Iselin, NJ
Salary: $58.00 USD Hourly - $63.00 USD Hourly
Description: Database Engineer III - Data PipelinesLocation: Charlotte, NC (Preferred) or Iselin, NJ
Work Arrangement: Hybrid - 3 days in office required
Employment Type: Contract (18 months, with possible extension or conversion)
Work Schedule: Standard business hours; occasional after-hours support for ad hoc troubleshooting
Number of Openings: 1
Job OverviewWe are seeking an experienced
Database Engineer to design, build, and support large-scale data pipelines as part of a cloud data platform modernization initiative. This role supports fraud and claims analytics applications and plays a key role in migrating a large Teradata-based environment to
Google Cloud Platform (Google Cloud Platform).
The ideal candidate has strong experience with SQL, ETL development, PySpark, and Hadoop-based ecosystems, and is comfortable working in hybrid on-prem and cloud environments.
Key Responsibilities- Design, develop, and maintain scalable data pipelines supporting fraud and claims analytics applications.
- Consult on and contribute to moderately complex database engineering initiatives and large-scale data platform planning efforts.
- Analyze and resolve data engineering challenges requiring evaluation of multiple variables and technologies.
- Support the migration of a large enterprise data platform from Teradata to Google Cloud Platform.
- Collaborate with stakeholders and engineering teams to ensure accurate, reliable, and performant data solutions.
- Contribute to issue resolution while adhering to established engineering standards, policies, and compliance requirements.
Technical Environment- Data Volume: ~1,000 TB of data across 600-700 tables
- Primary Technologies:
- Google BigQuery
- PySpark
- Hadoop
- Ab Initio
- Dremio
- Teradata (legacy)
- Autosys
- SQL
- S3-compatible storage grid
Required Qualifications- 4+ years of database engineering experience, or equivalent demonstrated through work, consulting, education, training, or military experience.
- Strong experience with:
- SQL
- ETL development
- PySpark
- Hadoop ecosystems
- Data pipeline design and implementation
- Experience operating in large, complex data environments.
- Ability to collaborate effectively with cross-functional engineering and analytics teams.
Preferred Qualifications- 5+ years of engineering experience (senior-level equivalent).
- Hands-on experience with Google Cloud Platform, particularly BigQuery.
- Experience with Teradata migrations to cloud platforms.
- Familiarity with Autosys scheduling.
- Google Cloud certifications.
- Experience supporting analytics use cases such as Fraud or Claims Analysis.
Additional Information- This is a backfill position.
- Hybrid Return-to-Office (RTO) policy requires 3 days onsite per week.
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