Job Title: Data Engineer

Location: Sacramento, CA

Duration: 12 + Months

This is an on-site position, not remote.

Mandatory Qualifications

• Minimum five (5) years of experience performing data cleansing.
• Minimum five (5) years of experience performing data quality.
• Minimum five (5) years of experience performing data normalization quality.
• Minimum five (5) years of experience in electronic data processing systems study, design, and programming.
• Minimum three (3) years of experience performing Extract, Transform, and Load (ETL) from multiple disparate data sources, including data analysis and data cleansing.
• Minimum three (3) years of experience with relational databases using Structured Query Language (SQL).
• Minimum three (3) years of experience working on data migration validation/testing.
• Minimum three (3) years of experience with object-oriented programming.
• Minimum three (3) years of experience working with mainframe data storage virtual storage access method (VSAM) files.
• Minimum three (3) years of experience working with data modeling tools.
• Minimum three (3) years of experience using SAS, DataFlux, and/or Informatica Data Quality data profiling tools.
• Minimum three (3) years of experience working with Tableau.

Desirable Qualifications

• Three (3) years of experience working with Salesforce.
• Three (3) years of experience working with Snowflake.
• Three (3) years of experience working with Simpligov.
• Three (3) years of experience working with Service Now ETL.
• Five (5) years of experience establishing master data management strategy and solutions.
• Experience working with IBM Query Management Facility (QMF) and IBM Db2 Analytics Accelerator (IDAA) for z/OS.
• Experience decomposing and mapping Binary Large Object (Blob) / Character Large Object (CLOB) data to normalization data repositories.