Technical Data Quality Engineer

OpTech; Frisco (TX); On-site; USD 82,656 - 89,544; Full time

Job summary

A technology consulting company is seeking a Technical Data Quality Engineer for a W2 contract position in Frisco, TX. This mid-senior level role involves supporting the Data Quality lifecycle, ensuring data accuracy through established rules and standards, and collaborating across teams. Candidates must be local to the Frisco area. The base pay ranges from $60 to $65 per hour.

Qualifications

• Experience in ensuring data accuracy, consistency, and reliability.
• Familiarity with data profiling, cleansing, and reporting on data quality metrics.
• Knowledge in data governance and methodologies.

Responsibilities

• Support the Data Quality lifecycle from inception to implementation.
• Establish data quality rules and standards.
• Monitor data health and resolve issues.

Skills

Data Quality

SQL

IICS

PowerBI

Experience in the Banking and Financial Services Fields

Technical Data Quality Engineer

Job description

THIS IS A W2 CONTRACT (NOT C2C-NO C2C APPLICANTS CAN BE CONSIDERED; NO VENDOR PARTNERS) OPPORTUNITY

CANDIDATES MUST BE LOCAL TO THE FRISCO, TX AREA AT TIME OF APPLICATION.

Base pay range

$60.00/hr - $65.00/hr

Must Haves

• Data Quality
• SQL
• IICS, PowerBI
• Experience in the Banking and Financial Services Fields
• Technical Data Quality Engineer

Responsibilities

The Technical Data Quality Engineering role will support the Data Quality lifecycle from inception to implementation through various distribution channels. This role will ensure data accuracy, consistency, and reliability by establishing data quality rules and standards, monitoring data health, and resolving issues using technical tools and analytical methods. Responsibilities include data profiling, cleansing, reporting on data quality metrics, and collaborating with data engineers, the Data Governance team, and business teams to improve data governance and data integrity across the organization. Key skills involve SQL, programming, data visualization, statistical analysis, and understanding data quality methodologies to ensure data accuracy and support informed decision-making.

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Information Technology

Industries

Banking

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