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Data Quality Engineer, (Consultant, Data & Analytics)
Fearless
51d ago
0$96k - $116kDataBaltimore, MD, USjobspy_indeed
remoteindeed
Job Description
Category: Engineering, IT \& Systems Administration
reqId: P\-100251
Posted Date: 08/28/2026
Work Environment: Remote
Exempt
widget: Full Time
Location: Baltimore, Maryland, United States
Public Trust
No Travel
**Job Requirements**
**Data Quality Engineer****(Consultant, Data \& Analytics)**
We are seeking a Data Quality Engineer as part of our Consultant, Data \& Analytics career path to support a large federal agency's enterprise data modernization initiative. This role focuses on building automated validation processes and monitoring capabilities that ensure reliability across a secure, cloud\-native data platform serving thousands of users across the agency. You will combine hands\-on engineering with stakeholder collaboration to translate data quality findings into actionable improvements that strengthen trust in enterprise data services. This is a fully remote role.
**At Fearless**, the consultant is responsible for leveraging data to answer business questions, develop algorithms and models, and build scalable infrastructure for managing and processing data. **This role will possess and/or develop the skills to be able to span the domains of data analysts, engineers, and scientists at a practical application level of proficiency. This Consultant role will work on projects that allow them to** design solutions that support decision\-making, optimize operations, and enable data\-driven innovation.
**Your Responsibilities in this Role:**
* 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.
**The Impact You Will Create in this Role:**
**Fearless Impact:**
* 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 (w
