Data Quality Engineer — Automate Pipelines & Quality

Insperity; Georgia; Hybrid; USD 90,000 - 120,000; Full time

Job summary

Insperity is seeking a Data Quality Engineer to join our Data Engineering team in the United States. This role ensures delivered products meet quality standards by implementing functional, integration, performance, and security tests.

The engineer will collaborate with engineers, analysts, data scientists, and business users to maintain data quality metrics and enable easy consumption by internal and external customers.

Qualifications

• Bachelor’s degree in Computer Science or related field or four years of related work experience.
• Three to five years of professional experience in information systems with at least one year in testing, developing, architecting or maintaining enterprise software systems.
• Deep understanding of automated data quality and observability frameworks and SQL.

Responsibilities

• Participates in the engineering of data pipelines while ensuring the quality metrics are met.
• Partners with stakeholders to ensure quality dimensions are understood and engineered into solutions.
• Identifies and implements process improvements focusing on automation, delivery, self-service and scalability.
• Works with Executives, Product Management, Centers of Excellence, and others.
• Participates in testing of large, complex data sets to meet business requirements.
• Ensures data security across implementations, data centers, cloud providers, client machines, etc.
• Collaborates to turn data assets into a competitive advantage.

Skills

SQL

Python

Communication skills

Education

Bachelor’s Degree in Computer Science or related field

Tools

Great Expectations

dbt

pytest

Talend

Hadoop

Snowflake

Redshift

Tableau

PowerBI

Databricks

Job description

Insperity is seeking a Data Quality Engineer to join our Data Engineering team in the United States. This role ensures delivered products meet quality standards by implementing functional, integration, performance, and security tests.

The engineer will collaborate with engineers, analysts, data scientists, and business users to maintain data quality metrics and enable easy consumption by internal and external customers.