Full Stack Data Engineer/Developer, (Consultant, Data & Analytics)

Fearless Solutions; Baltimore (MD); Presencial; USD 120 000 - 180 000; Tempo integral

Resumo da oferta

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

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

DevSecOps

AWS cloud

Data engineering

Agile development

Full-stack engineering

Security compliance

Descrição da oferta de emprego

Job Requirements

Full Stack Data Engineer/Developer (Consultant, Data & Analytics)

We are seeking a Data & Analytics Consultant to help build, integrate, and supportdata-driven capabilities in a complex, cloud-based enterprise environment. This rolecombines data engineering and applied analytics, including developing and maintainingdata pipelines, integrating data from multiple systems, improving data quality, and creatingreliable datasets for reporting, operational insights, and machine learning. The consultant willwork closely with software engineers, product owners, business analysts, architects, andstakeholders to solve mission-focused data problems and deliver secure, reliable solutionsusing AWS, full-stack engineering practices, and Agile/DevSecOps delivery methods

At Fearless

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 themto 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 frommultiple source systems.
• Develop data transformations, normalization routines, queries, and processing jobs toproduce consistent, reliable datasets.
• Integrate data from APIs, application services, databases, and existing enterprisesystems.
• Analyze data quality, investigate discrepancies across systems, and implementimprovements to data consistency and availability.
• Develop datasets and data products that support operational metrics, program andproduct performance reporting, dashboards, trend analysis, and ad hoc investigations.
• Identify anomalies and unusual patterns, and measure the operational impact ofapplication releases and system changes.
• Support entity-resolution capabilities by matching records across systems, comparingattributes, addressing inconsistent identifiers, and reducing duplicate records.
• Evaluate matching quality, including confidence levels, false matches, and missedmatches; support the use of structured and, where applicable, biometric information.
• Develop or support algorithms and machine-learning approaches that improve recordmatching 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-performanceenterprise data applications in AWS environments.
• Apply secure engineering practices and participate in Agile ceremonies, sourcecontrol, CI/CD, and federal cloud security and compliance processes.

The Impact You Will Create in this Role:

Fearless Impact:

• Collaborates with cross functional teams
• Earn 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 decisions
• Offer and implement innovative solutions that introduce advanced analytics, machine learning, and emerging technologies for greater data accuracy and insight
• Serve as a trusted advisor in your area of expertise

Work Experience

Project Skill and Experience Requirements:

• At least six (6) years of experience in the Information Technology field, focused ondevelopment projects using DevSecOps and AWS cloud environments.
• Experience with full-stack engineering, including database development/integrationand server-side and client-side application development/integration.
• At least three (3) years of experience deploying production enterprise applications inAWS.
• At least three (3) years of software engineering experience related to front-end andback-end applications and/or data services.
• Experience with large-scale, high-performance enterprise big data applicationdeployment 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 forthe role.

Fearless Skills and Competencies

• Analytical Thinking: The ability to observe and interpret information, break down complex problems into parts, identify patterns/relationships and draw logical conclusions to develop effective solutions.
• Synthetic Thinking: The ability to combine different ideas, information, or concepts to create a new, complex understanding or solution by integrating disparate elements into a new, meaningful whole.
• Adaptability: Comfort with change, flexibility in the face of shifting demands and resilience to setbacks.
• Ownership & Accountability: Committed to taking responsibility for outcomes, ensuring that all commitments are met with a focus on enhancing service delivery.
• Consultative Advising: Identifies and articulates client challenges, scopes projects and aligns recommendations to business goals and client expectations.
• Communicating with Influence: Capable of crafting and delivering clear, persuasive messages that integrate data insights and structured narratives, tailored to the strategic needs of diverse audiences to drive effective decision-making.
• Environmental Awareness: Maintains awareness of external dynamics, power structures within client environments as well as