Senior Data Engineer

Job Role: Data Engineer Location: Los Angeles, CA - Remote Duration: 12 Months Contract Skills Required: The Data Engineer will possess strong knowledge and experience of legacy systems, flat files, mainframe-extracted data, and structured or unstructured datasets. The Data Engineer will have experience supporting data mapping and crosswalk analysis across organization and vendors, as well as interpreting legacy formats and data dictionaries. The Data Engineer will understand key data conversion requirements such as retention needs, cutover sequencing, and identifying required data elements; have familiarity with ETL processes, reconciliation, encrypted file validation, SFTP structures, and source-to-target relationships; ability to document extraction logic and validation rules, effective cross-organization coordination, and the ability to resolve data inconsistencies and quality issues; and knowledge of government data retention and compliance standards. Experience Required: This classification requires a minimum of three (3) years of experience supporting field mapping, crosswalk analysis, and data validation during conversion efforts, including troubleshooting data quality issues such as blob-size anomalies and variable-length errors; three (3) years of experience participating in organization coordination activities, including file reviews and data dictionary prioritization, and working with encrypted test files and regulated data; and three (3) years of experience working with legacy and relational data technologies such as mainframe environments, DB2, FOCUS, Oracle, and Microsoft SQL Server are also required.