Remote Data Validation & Quality Engineer

ICF Olson; United States; Remote; USD 99,000 - 168,000; Full time

Job summary

ICF is seeking a Data Validation Engineer to implement data parity, freshness and anomaly detection across cloud data platforms. The role wires pipelines to monitoring, supports publication gates and ensures quality before customer release.

Remote role with preference for DC area, occasional onsite meetings in Washington, DC. U.S. citizenship required for federal contract work and a strong data quality mindset is essential.

Qualifications

• U.S. Citizenship is required due to federal contract requirements.
• Bachelor's degree in Computer Science or related field; or 4 additional years of experience.
• Minimum 6 years of relevant experience aligned to the responsibilities.

Responsibilities

• Implements data quality controls, parity testing, freshness monitoring and anomaly detection.
• Wires data pipelines to monitoring and reporting mechanisms to detect quality issues before release.
• Collaborates with governance and product teams to operationalize quality requirements.

Skills

Data quality

Observability

SQL

Python

ETL/ELT

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

Delta Lake

SQL

Python

Azure Data Factory

Job description

ICF is seeking a Data Validation Engineer to implement data parity, freshness and anomaly detection across cloud data platforms. The role wires pipelines to monitoring, supports publication gates and ensures quality before customer release.

Remote role with preference for DC area, occasional onsite meetings in Washington, DC. U.S. citizenship required for federal contract work and a strong data quality mindset is essential.