{"schemaVersion":"jobsearcher.job.v1","id":"8cca9880a1adc25f6b7234c6","url":"https://jobsearcher.com/jobs/8cca9880a1adc25f6b7234c6","canonicalUrl":"https://jobsearcher.com/jobs/8cca9880a1adc25f6b7234c6","title":"Data Engineer","description":"*Data Engineer*\n\n*Location : San Jose, CA (Onsite)*\n\n*Contract: 12+ months*\n\n*Required Qualifications*\n5+ years of experience in data engineering, with demonstrated ownership of large-scale data migration projects\nStrong to expert-level proficiency in Python for building and automating data pipelines\nDeep hands-on experience with PostgreSQL/Oracle , including schema design, query optimization, and performance tuning\nProven experience designing and managing ETL/ELT pipelines at scale (millions of records)\nExperience mapping and transforming complex, legacy data structures across disparate systems or business entities\nStrong understanding of data validation, reconciliation, and quality assurance techniques\nSolid grasp of data modeling principles (normalization, indexing, partitioning)\nExperience with version control (Git) and CI/CD practices for data pipelines\n\n*Preferred Qualifications*\nExperience with orchestration tools (e.g., Airflow, Dagster, Prefect)\nFamiliarity with cloud data platforms (AWS, GCP, or Azure)\nExperience with other relational or NoSQL databases and cross-database migrations\nBackground working in regulated or high-stakes data environments (finance, healthcare, etc.)\nExperience with containerization (Docker) and infrastructure-as-code\nExposure to data quality/testing frameworks (e.g., Great Expectations, dbt tests)\n\n*What Success Looks Like*\nA fully migrated, validated dataset in PostgreSQL with zero critical data loss or corruption\nETL/ELT pipelines that are documented, repeatable, and optimized for ongoing operation\nA clear audit trail of data lineage and validation results across all business entities involved\n\nPay: $80,000.00 - 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