Remote Data Validation & Quality Engineer

ICF; Charlotte (NC); Remote; USD 99,000 - 168,000; Full time

Job summary

ICF is seeking a Data Validation Engineer to join a remote team focused on data parity, freshness, anomaly detection, and pipeline observability for a large federal data ecosystem.

The role emphasizes implementing automated data quality controls, governance alignment, and release evidence across cloud-based data platforms, with preference for candidates in the Washington DC Metro Area for occasional on-site meetings.

Qualifications

• : US citizenship required for federal contract.
• : Must reside in US and be authorized to work in US.
• : 3 of last 5 years in US residency required.
• : Bachelor’s degree or 4 extra years of relevant experience in lieu of degree.
• : 6+ years relevant experience.
• : Master’s may substitute for 2 years of experience.

Responsibilities

• Implements data quality controls, parity testing, freshness SLAs, and anomaly detection.
• Wires pipelines to monitoring and reporting mechanisms to detect data quality issues before release.
• Collaborates with Governance on definitions, quality thresholds, and publication gates.
• Applies Data quality automation, lineage, and observability to support role delivery.
• Collaborates with product, engineering, security, governance, and QA stakeholders.
• Documents work products, risks, and delivery evidence for traceability.

Skills

US Citizenship

Bachelor's degree in CS/Related

6+ years experience

Python

SQL

Databricks

Delta Lake

Spark

Data quality

Education

Bachelor's degree in Computer Science or related field

Master's degree may substitute for 2 years experience

Tools

Databricks

Delta Lake

SQL

Python

Spark

Job description

ICF is seeking a Data Validation Engineer to join a remote team focused on data parity, freshness, anomaly detection, and pipeline observability for a large federal data ecosystem.

The role emphasizes implementing automated data quality controls, governance alignment, and release evidence across cloud-based data platforms, with preference for candidates in the Washington DC Metro Area for occasional on-site meetings.