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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, and Databricks to process regulatory filings and financial datasets.
● Implement semantic processing architectures using Delta Lake, OpenSearch, and Neptune to support advanced analytics and AI/ML workflows.
● Develop graph generation pipelines that produce nodes, edges, relationships, and ontological mappings at enterprise scale.
● Build metadata extraction and lineage tracking capabilities to ensure data provenance and auditability across the platform.
● Implement APIs supporting natural language query (NLQ) and semantic retrieval services for end-user consumption.
● Develop CI/CD pipelines and Infrastructure-as-Code deployments with automated testing, data quality monitoring, and deployment validation.
● Implement security controls that support federal compliance requirements and organizational security standards.
● Optimize pipeline performance, scalability, and cloud costs to improve operational efficiency.
● Support Agile delivery by participating in sprint planning, backlog refinement, development, testing, and continuous integration activities.
The Impact You Will Create in this Role:
Fearless Impact:
Fearless Customer Impact:
PROJECT SKILL AND EXPERIENCE REQUIREMENTS
● Minimum of 7 years of data engineering experience building cloud-native data pipelines and distributed processing systems.
● Experience working at or in support of the U.S. Securities and Exchange Commission (SEC), with knowledge of SEC business processes, systems, and regulatory mission.
● Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field, or equivalent work experience.
● Ability to obtain and maintain Public Trust clearance.
● Proven experience building data pipelines using Python, SQL, Spark, Databricks, and AWS services in production environments.
● Demonstrated experience implementing data lakes, lakehouse architectures, and ETL/ELT frameworks with metadata management and data lineage capabilities.
● Experience with graph databases such as Neptune, OpenSearch, and vector databases supporting semantic search and AI/ML workflows.
● Familiarity with XBRL-formatted data, financial reporting datasets, or regulatory filings in federal or financial services contexts.
Preferred Experience, Skills, and Certifications
● Experience implementing GraphRAG solutions and natural language query architectures using Databricks Genie and NLQ frameworks.
● Experience building knowledge graphs exceeding hundreds of millions of nodes and relationships using AWS Neptune and OpenSearch.
● Experience supporting federal AI modernization initiatives and regulatory compliance requirements.
● AWS Solutions Architect Professional, Certified Kubernetes Administrator, or AWS Security Specialty certifications.
Fearless Skills and Competencies
Required Level of Proficiency:
Physical Requirements:
Life at Fearless
We’re a digital integration consultancy on a mission to build a better tomorrow. At Fearless, we combine technology, people, and organizational development to solve meaningful problems. Through iterative development, we deliver smart, user-friendly solutions that make tech work better—for everyone.
But great tech is just part of the story. What really makes us Fearless is our Purple Culture.
What Makes Us Purple?
Being Purple means you:
We believe in flexibility, growth, and balance. Our benefits and culture are designed to support you in doing your best work—while making space for what matters to you outside of it.
We’re proud to be an equal opportunity employer. At Fearless, we’re building a workplace that welcomes and respects everyone—across race, gender, age, religion, identity, background, and ability. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Compensation at Fearless
Fearless is committed to providing a competitive compensation package that will meet your current and future needs. Our philosophy is aimed at rewarding team member contributions, supporting long-term financial growth and security, and overall well-being.
We believe in paying people fairly, so we've established a compensation model aimed to ensure everyone at Fearless — regardless of race, ethnicity, gender, sexual orientation, disability, religion, age, nationality, or willingness/ability to negotiate — is consistently paid fairly based on alignment to the needs and requirements of the role.
The salary range for this position is:
Minimum Salary: $120,588
Salary Midpoint: $156,764
Maximum Salary: $195,955
Hiring Range for Role: $120,588 - $150,000
*This position is eligible for a discretionary bonus based on individual and company performance criteria.
Benefits at Fearless
At Fearless, we take care of our team—because when you're supported, you can do your best work. We offer a flexible, family-friendly environment with benefits designed to support your health, growth, and life outside of work.
For Full-Time Team Members (Starting Day One):
Reasonable Accommodations
Fearless is committed to providing reasonable accommodations for applicants and candidates with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please contact the Human Resources Department at hr@fearless.tech.
So, What’s Next?
We’ve refined our hiring approach to make sure every team member is a great fit for Fearless—and that we’re a great fit for you, too. If there’s alignment, we’ll reach out to kick off the interview process. Depending on the role or project, your experience may vary slightly, but it typically includes:
1. Introductory Interview
You'll connect with a recruiter to:
2. Technical Assessment
We'll invite you to complete a role-specific assessment to see your skills in action. This helps us keep our hiring process fair and consistent. You can learn more about what to expect here.
3. Skills + Business Fit Interview
This is where we dig deeper to:
Some roles may also include customer interviews based on specific project requirements in addition to background check and security clearance requirements.
Where You Can Build with Fearless
At Fearless, we strive to build a powerful and diverse team. We are currently licensed and set up to hire talented individuals residing in the following 16 states:
Alabama, California, Delaware, District of Columbia, Florida, Georgia, Maryland, New Jersey, New York, North Carolina, Pennsylvania, South Carolina, Tennessee, Texas, Virginia, and West Virginia.
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