Full Stack Data Engineer/Developer, (Consultant, Data & Analytics)
About The Position
Fearless is seeking a Data & Analytics Consultant to build, integrate, and support data-driven capabilities in a complex, cloud-based enterprise environment. The 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 works 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. The consultant uses data to answer business questions, develop algorithms and models, and build scalable infrastructure for managing and processing data. The role spans practical applications of data analysis, engineering, and data science. Projects involve designing solutions that support decision-making, optimize operations, and enable data-driven innovation.
Requirements
- At least six 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 and integration, and server-side and client-side application development and integration.
- At least three years of experience deploying production enterprise applications in AWS.
- At least three 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.
- Must obtain a Public Trust clearance, which will be initiated once selected for the role.
- Practical application proficiency in the listed competencies: analytical thinking, synthetic thinking, adaptability, ownership and accountability, consultative advising, communicating with influence, and environmental awareness.
- Ability to sit for extended periods while working on a computer or during meetings.
- Ability to travel occasionally to client sites or company meetings, which may involve driving or flying.
- Ability to communicate effectively by phone, email, and in person, including clear speech, listening, and written communication.
- Ability to move within an office environment, reach for files, use office equipment, and occasionally lift up to 10 pounds.
Responsibilities
- Build, maintain, and troubleshoot ETL/ELT pipelines that integrate data 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 improve data consistency and availability.
- Develop datasets and data products for 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 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.
- Collaborate with cross-functional teams and deliver assigned objectives on time.
- Alert teammates and supervisors when a deliverable is at risk, and share relevant project intelligence with Fearless teammates and supervisors.
- Deliver data outcomes that enable informed customer decisions; implement innovative analytics, machine-learning, and emerging-technology solutions; and serve as a trusted advisor in the area of expertise.
Benefits
- Flexible, life-friendly schedules.
- Medical HSA plan fully covered, with HSA contributions.
- Dental and vision coverage fully covered for the employee and dependents.
- Competitive premiums for HMO/PPO and dependent coverage.
- 401(k) with a 4% match and immediate vesting.
- Paid parental leave and 12 weeks of paid FMLA.
- Generous PTO, 11 federal holidays, a birthday holiday, and sick leave.
- Up to 15 days for jury duty and bereavement leave.
- Education, wellness, and technology allowances.
- Referral bonus of $6,000–$12,000 for each successful referral.
- Pet insurance and discount plans.
- Employee Assistance Program (EAP).
- Legal support, life insurance, and disability coverage.
- Discretionary performance-based bonuses based on individual and company performance criteria.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
