Data Engineer

Full Stack Data Engineer/Developer (Consultant, Data & Analytics)We are seeking a Data & Analytics Consultant to help build, integrate, and support data-driven capabilities in a complex, cloud-based enterprise environment. This role combines data engineering and applied analytics, including developing and maintaining data pipelines, integrating data from multiple systems, improving data quality, and creating reliable datasets for reporting, operational insights, and machine learning. The consultant will work closely with software engineers, product owners, business analysts, architects, and stakeholders to solve mission-focused data problems and deliver secure, reliable solutions using AWS, full-stack engineering practices, and Agile/DevSecOps delivery methods.
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: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.
The Impact You Will Create in this Role:Fearless Impact:Collaborates with cross functional teamsEarn 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 (whether it's good, bad or just informational).
Fearless Customer Impact:Deliver expected outcomes relative to data that enable smarter, faster, and more informed customer decisionsOffer and implement innovative solutions that introduce advanced analytics, machine learning, and emerging technologies for greater data accuracy and insightServe as a trusted advisor in your area of expertiseWork ExperienceAt least six (6) years of experience in the Information Technology field, focused on development projects using 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 application 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.
Fearless Skills and CompetenciesAnalytical Thinking: The ability to observe and interpret information, break down complex problems into parts, identify patterns/relationships and draw logical conclusions