Remote Data Quality Engineer: Cloud Validation & Monitoring

Fearless Solutions; Baltimore (MD); On-site; USD 96,000 - 162,000; Full time

Benefits offered by this job

Remote work

Discretionary bonus

Education allowances

Competitive compensation

Job summary

Fearless Solutions is seeking a Data Quality Engineer (Consultant, Data & Analytics) to build automated validation and monitoring for a federal agency's data platform. This fully remote role requires collaborating with data analysts, engineers, and scientists to ensure data reliability and observability across enterprise pipelines.

The candidate will design quality rules, translate business requirements into technical validations, and support improvements that strengthen trusted data services

Qualifications

• Minimum of 4 years of experience in data engineering, data quality, or related analytics roles.
• Bachelor's degree in Computer Science, Information Systems, Data Science, or related field, or equivalent work experience.
• Ability to obtain and maintain Public Trust clearance.
• Experience developing automated data validation, testing, and monitoring solutions for enterprise data platforms.
• Strong SQL and ETL/ELT experience with the ability to analyze, troubleshoot, and improve complex data pipelines.
• Experience working with cloud-based data platforms and data observability or monitoring tools.
• Experience defining, implementing, and maintaining data quality rules, standards, or validation frameworks.
• Experience translating business requirements into technical data quality rules and validation processes.
• Demonstrated ability to communicate technical concepts, data quality findings, and recommendations to business stakeholders and cross‑functional teams.
• Experience working in a consulting or client‑facing environment, balancing hands‑on engineering with stakeholder collaboration, requirements gathering, and problem solving.

Responsibilities

• Design and implement automated data quality validation and monitoring processes across cloud data pipelines.
• Validate, monitor, and troubleshoot enterprise data pipelines within the organization's cloud data platform.
• Investigate, troubleshoot, and resolve data quality issues while identifying opportunities to improve reliability and observability.
• Collaborate with data engineering teams to embed data quality and validation into new pipelines and data products.
• Partner with business stakeholders and engineering teams to translate data quality findings into actionable recommendations and technical solutions.
• Define and maintain data quality rules, standards, metrics, and reporting to support trusted enterprise data products.
• Communicate data quality risks, findings, and recommendations to both technical and non‑technical audiences.
• Support continuous improvement initiatives that strengthen data pipeline reliability and platform observability.

Skills

Data quality

SQL

ETL/ELT

Cloud platforms

Data validation

Communication

Education

Bachelor's degree in CS/IS/DS

Tools

Databricks

Azure Data Factory

Job description

Fearless Solutions is seeking a Data Quality Engineer (Consultant, Data & Analytics) to build automated validation and monitoring for a federal agency's data platform. This fully remote role requires collaborating with data analysts, engineers, and scientists to ensure data reliability and observability across enterprise pipelines.

The candidate will design quality rules, translate business requirements into technical validations, and support improvements that strengthen trusted data services