Senior Data Engineer; Senior Consultant, Engineering & Technical Services
Listed on 2026-07-28
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Software Development
Data Engineering
Job Requirements
Senior Data Engineer (Senior Consultant, Engineering & Technical Services)
At Fearless, we are seeking a Senior Data Engineer as part of our Senior Consultant, Engineering and Technical Services career path to design and build cloud‑native data engineering pipelines supporting semantic processing, knowledge graph construction, and AI‑enabled analytics 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 to enable semantic search, natural language query, and GraphRAG capabilities across federal data assets.
At Fearless, this Senior Consultant collaborates with cross‑functional teams to align the technical vision, implementation, and quality of software systems across development, reliability, testing, and operations. The role will possess the skills to bridge business objectives with technical execution in software development, infrastructure, security, and testing at an advanced application level of proficiency. The Senior Consultant will work on projects that allow them to ensure scalable, secure, and reliable solutions while mentoring engineers, fostering collaboration, and aligning stakeholders with product and project goals.
WorkLocation
This role operates in a hybrid work environment and requires on‑site presence at the customer location in Washington, DC approximately 2‑3 days per week to support collaboration with federal stakeholders, with the remaining time performed remotely.
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.
- Develop data pipelines supporting XBRL processing, financial disclosures, regulatory filings, and enterprise datasets.
- Implement semantic processing architectures using Databricks, Spark, Delta Lake, Open Search, and Neptune.
- Develop graph generation pipelines that produce nodes, edges, relationships, and ontological mappings.
- Build metadata extraction and lineage tracking capabilities.
- Support GraphRAG and semantic search implementations.
- Implement APIs supporting natural language query and semantic retrieval services.
- Develop CI/CD pipelines and Infrastructure‑as‑Code deployments.
- Build automated testing frameworks and data quality monitoring capabilities.
- Implement security controls that support federal compliance requirements.
- Optimize pipeline performance, scalability, and cloud costs.
- Support Agile delivery and sprint‑based development.
- Fosters collaboration with cross‑functional teams by taking the initiative and driving conversations.
- Coach, mentor, and develop peers that elevate team capability and technical expertise using clear and persuasive communication of engineering solutions to both technical and non‑technical audiences.
- Earn the trust of your customer and teammates by delivering world‑class services.
- Drive accountability and delivery by ensuring project objectives are met on time and aligned with client priorities and Fearless standards of excellence. Anticipate risks and implement proactive solutions to keep initiatives on track.
- Take ownership of risk management by monitoring deliverables across the team, identifying issues early, and coaching teammates on mitigation strategies while keeping leadership informed.
- Shape client engagement and intelligence‑gathering efforts by actively cultivating relationships with stakeholders, synthesizing insights across the client organization and partner ecosystem, and providing Fearless leaders with actionable recommendations that inform strategy and strengthen delivery outcomes.
- Deliver expected outcomes relative to high quality code and maintainable systems.
- Offer and implement innovative solutions that include engineering best practices through new tools, frameworks and methodologies.
- Lead and align stakeholders with product and…
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