Senior Cloud Data Engineer, (Senior Consultant, Data & Analytics)

Company: Fearless

Location: Baltimore, MD (Remote)

Salary: $120,588 - $195,955 a year

Type: Full-time

Remote: Yes

Posted: 2026-07-26

About this role

Category: Engineering, IT & Systems Administration

reqId: P-100228

Posted Date: 07/26/2026

Work Environment: Remote

Exempt

widget: Full Time

Location: Baltimore, Maryland, United States

Public Trust

No Travel

Job Requirements

Senior Cloud Data Engineer (Consultant, Data & Analytics)

At Fearless, we are seeking a Senior Cloud Data Engineer as part of our Senior Consultant, Data and Analytics career path to design and build cloud-native data engineering pipelines that lead to the enablement of analytics, business intelligence, statistical analysis, and AI-driven decision support for federal financial regulatory systems. This role supports a large-scale data modernization initiative that processes structured and unstructured regulatory filings, financial disclosures, and enterprise datasets that will be used to modernize data platforms using AWS cloud services.

The Senior Consultant is an expert in data analysis, engineering, and science. This role will possess the necessary skills at an advanced level of proficiency to drive organizational transformation by architecting scalable data platforms, building advanced machine learning solutions, and mentoring customers and teams to become data-driven organizations. The role involves working with executives, project teams, and internal leaders across departments to identify opportunities where data can accelerate missions, create efficiencies, and deliver technical excellence.

Work Location

  • This role operates largely in a remote capacity.
  • Occasional travel to the customer location in Washington, DC may be required to support collaboration with federal stakeholders.

Your Responsibilities in this Role:

  • Design and develop enterprise data pipelines supporting structured data ingestion, unstructured document ingestion, metadata extraction, semantic enrichment, entity resolution, and knowledge graph population.
  • Build and maintain AWS-native ETL/ELT solutions using Python, Spark...

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