Data Reliability Engineer: Data Quality & Warehouse Expert

Excelsior College; United States; Hybrid; USD 100,000 - 110,000; Full time

Benefits offered by this job

Competitive compensation

Paid time off

Retirement plan

Excellent health insurance

Job summary

A distinguished university in the United States seeks an experienced Data Engineer to enhance data quality within their Business Intelligence department. The role focuses on ensuring the integrity and security of data required for processing and analysis. Responsibilities include working with stakeholders to translate data needs, maintaining business workflow understanding, and developing strategies for reliable data. The position requires a Bachelor’s degree and at least 8 years of SQL and data frame experience, with the potential for remote work alongside mandatory office days.

Qualifications

• 8 years of experience in SQL and data frame functions.
• Strong understanding of relational database systems.
• Experience with data quality requirements documentation.

Responsibilities

• Work with stakeholders to understand data needs.
• Maintain understanding of business workflows and processes.
• Develop strategies for clean and reliable data.
• Design tests for data validation within the warehouse.

Skills

SQL queries (PL/SQL and TSQL)

Python or R data frame functions

Data quality requirements analysis

Organizational skills

Collaboration skills

Education

Bachelor's degree in computer science or related field

Tools

Power BI

QlikView

QlikSense

Job description

A distinguished university in the United States seeks an experienced Data Engineer to enhance data quality within their Business Intelligence department. The role focuses on ensuring the integrity and security of data required for processing and analysis. Responsibilities include working with stakeholders to translate data needs, maintaining business workflow understanding, and developing strategies for reliable data. The position requires a Bachelor’s degree and at least 8 years of SQL and data frame experience, with the potential for remote work alongside mandatory office days.