Data Quality Engineer, (Consultant, Data & Analytics)

Fearless is seeking a Data Quality Engineer within its Consultant, Data & Analytics career path to support a federal agency’s enterprise data modernization initiative. The role focuses on building automated validation and monitoring processes, troubleshooting cloud data pipelines, defining data quality standards, and collaborating with technical and business stakeholders to improve enterprise data reliability.

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
• Collaborates with cross functional teams
• Earn the trust of your customer and teammates by delivering world class services
• Be reliable completing assigned objectives on time
• Alert your teammates and supervisor immediately when you think a deliverable is at risk
• Gather intelligence and listen to what your client, other people within the customer’s organization and other contractors say about your project, and report back to your Fearless teammates and supervisor (whether it’s good, bad or just informational)
• Deliver expected outcomes relative to data that enable smarter, faster, and more informed customer decisions
• Offer and implement innovative solutions that introduce advanced analytics, machine learning, and emerging technologies for greater data accuracy and insight
• Serve as a trusted advisor in your area of expertise

Requirements:

• 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
• Analytical Thinking: The ability to observe and interpret information, break down complex problems into parts, identify patterns/relationships and draw logical conclusions to develop effective solutions
• Synthetic Thinking: The ability to combine different ideas, information, or concepts to create a new, complex understanding or solution by integrating disparate elements into a new, meaningful whole
• Adaptability: Comfort with change, flexibility in the face of shifting demands and resilience to setbacks
• Ownership & Accountability: Committed to taking responsibility for outcomes, ensuring that all commitments are met with a focus on enhancing service delivery
• Consultative Advising: Identifies and articulates client challenges, scopes projects and aligns recommendations to business goals and client expectations
• Communicating with Influence: Capable of crafting and delivering clear, persuasive messages that integrate data insights and structured narratives, tailored to the strategic needs of diverse audiences to drive effective decision-making
• Environmental Awareness: Maintains awareness of external dynamics, power structures within client environments as well as regulatory trends and contract requirements that influence service delivery
• You can complete tasks in required competency/skill-based areas as requested. Help from an expert may be necessary from time to time, but you can usually perform the skill independently
• Ability to sit for extended periods while working on a computer or during meetings
• Must be able to travel occasionally to client sites or company meetings, which may involve driving or flying
• Ability to communicate effectively via phone, email, and in-person, requiring clear speech, listening, and written communication skills
• Ability to move within an office environment, including reaching for files, using office equipment, and occasional light lifting (up to 10 pounds)
• Hands-on experience with Databricks, Azure Data Factory, or similar cloud data engineering platforms supporting enterprise analytics workloads
• Experience supporting federal government, healthcare, or other highly regulated environments with strong data governance and quality requirements