Cloud-Driven Full-Stack Data Engineer & Analytics

Fearless Solutions; Baltimore (MD); On-site; USD 120,000 - 180,000; Full time

Job summary

Fearless Solutions is seeking a Full Stack Data Engineer/Developer (Consultant, Data & Analytics) to build, integrate, and support data-driven capabilities in a cloud-based enterprise environment. You will design scalable data pipelines, implement data quality improvements, and deliver reliable datasets for reporting, operations insights, and ML initiatives.

You will collaborate with software engineers, product owners, business analysts, architects, and stakeholders across Agile/DevSecOps teams

Qualifications

• At least six (6) years of experience in the Information Technology field, focused on DevSecOps and AWS cloud environments.
• Experience with full-stack engineering, including database development/integration and server-side and client-side application development/integration.
• At least three (3) years of experience deploying production enterprise applications in AWS.
• At least three (3) years of software engineering experience related to front-end and back-end applications and/or data services.
• Experience with large-scale, high-performance enterprise big data deployment and solution architecture in complex, heterogeneous AWS environments.
• Experience performing automation and engineering tasks involving implementation,data, infrastructure/operations, and security in USCIS cloud environments.
• The contract requires a Public Trust clearance, which will be initiated once selected for the role.

Responsibilities

• Build, maintain, and troubleshoot ETL/ELT pipelines that bring data together from multiple source systems.
• Develop data transformations, normalization routines, queries, and processing jobs to produce consistent, reliable datasets.
• Integrate data from APIs, application services, databases, and existing enterprise systems.
• Analyze data quality, investigate discrepancies across systems, and implement improvements to data consistency and availability.
• Develop datasets and data products that support operational metrics, program and product performance reporting, dashboards, trend analysis, and ad hoc investigations.
• Identify anomalies and unusual patterns, and measure the operational impact of application releases and system changes.
• Support entity-resolution capabilities by matching records across systems, comparing attributes, addressing inconsistent identifiers, and reducing duplicate records.
• Evaluate matching quality, including confidence levels, false matches, and missed matches; support the use of structured and, where applicable, biometric information.
• Develop or support algorithms and machine-learning approaches that improve record matching and analytical outcomes, as appropriate to project needs.
• Automate recurring data processes and support data migrations, application changes, and production troubleshooting.
• Contribute to solution design and deployment for large-scale, high-performance enterprise data applications in AWS environments.
• Apply secure engineering practices and participate in Agile ceremonies, source control, CI/CD, and federal cloud security and compliance processes.

Skills

DevSecOps

AWS cloud

Data engineering

Agile development

Full-stack engineering

Security compliance

Job description

Fearless Solutions is seeking a Full Stack Data Engineer/Developer (Consultant, Data & Analytics) to build, integrate, and support data-driven capabilities in a cloud-based enterprise environment. You will design scalable data pipelines, implement data quality improvements, and deliver reliable datasets for reporting, operations insights, and ML initiatives.

You will collaborate with software engineers, product owners, business analysts, architects, and stakeholders across Agile/DevSecOps teams