Solutions Architect/Data Engineer at Dynanet Corporation

, Maryland, United States -

Full Time

Start Date

Immediate

Expiry Date

24 Jun, 26

Salary

0.0

Posted On

26 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Solution Architecture, Data Engineering, AWS, IAM, Lambda, S3, EC2, RDS, Networking, Security, Ingestion Pipelines, AI/ML Integration, NLP, LLMs, FedRAMP, Cost Optimization

Industry

IT Services and IT Consulting

Description

Description Position Details: Job Title: Solution Architect/Data Engineer Job Type: Contract (1099) – Approx. 2-3 Months Location: Remote Dynanet Corporation Overview: Dynanet started with a focus on IT infrastructure and operations, helping organizations enhance their networks and overcome the limitations of 1990s technology. From strengthening communication channels to introducing innovative ways to collaborate and share information, Dynanet played a crucial role in shaping the early stages of digital transformation. The company’s efforts helped organizations build the very fabric of connectivity that now powers our modern world. Over the last three decades, Dynanet has grown into a trusted partner for organizations looking to innovate boldly and transform seamlessly. While technology continues to evolve and unlock new opportunities, for nearly 30 years, Dynanet remains committed to delivering cutting-edge solutions that drive lasting change for its customers. Through agility, foresight, and an unwavering dedication to excellence, Dynanet continues to empower organizations to thrive in a rapidly changing digital landscape. Our story is more than just a story of technology – it’s a story of vision, growth, and transformation that has shaped the past and continues to pave the way for the future. About the Role: Dynanet is seeking a highly skilled Solution Architect/Data Engineer to support Phase 0 and early Phase 1 activities for a modern cloud based, AI enabled system. This role focuses on environment setup, ingestion pipeline design, AWS configuration, and foundational data engineering required before analytics work can begin. The ideal candidate brings deep hands-on experience in cloud architecture, secure data engineering, and AI/ML integration patterns. This is a short-term contracting role designed to rapidly establish the technical foundation needed for downstream analytics, dashboards, and reporting. Roles & Responsibilities: 1. Architecture & Environment Setup Lead the design of the technical architecture for a cloud-based, AI enabled system Stand up AWS infrastructure including compute, storage, networking, IAM, and security controls Ensure alignment with government approved technologies and FedRAMP authorized services Conduct market analysis and provide cost, performance, and risk tradeoff assessments 2. Data Engineering & Ingestion Pipeline Build the initial email ingestion pipeline for structured/unstructured data Implement parsing, routing, and data transformation logic Create and configure the database/data store to support downstream analytics Define integration patterns for ingestion, APIs, and external systems Ensure data quality, reliability, and scalability in the ingestion workflow 3. AI/ML & Vendor Evaluation Evaluate AI/ML vendor tools for classification, extraction, and automation Recommend government approved AI technologies and integration approaches Support selection criteria and technical feasibility assessments 4. Technical Planning Support requirements validation and technical workshops Define field level extraction requirements in collaboration with analysts Provide LOE estimates and support Phase 1 implementation planning Identify risks, dependencies, and architectural constraints Required Professional Skills: 10+ years of experience in solution architecture or cloud/data engineering Handson experience with AWS (IAM, Lambda, S3, EC2, RDS, networking, security) Experience building ingestion pipelines for structured/unstructured data Experience implementing AI/ML solutions (NLP, LLMs, classification models) Strong understanding of performance tuning, cost optimization, and risk mitigation Experience evaluating government approved technologies and FedRAMP services Preferred Professional Skills: Experience with federal IT environments (HHS preferred) Experience with serverless architectures Experience with secure data engineering and compliance frameworks Experience designing scalable data models Dynanet Team Requirements and Expectations: Possess Strong written and verbal communication skills. Highly organized with the ability to prioritize, balance, and effectively advance multiple competing priorities in a high-volume, fast-paced environment. Ability to interact in a professional and collaborative manner with fellow Dynanet Teammates and the clients, and business partners that we work with. Ability and desire to challenge and educate yourself to support and advance IT services delivery in the Federal agencies we serve. Excellent judgment and creative problem-solving skills. Respond to team member and client requests via email, MS teams, or other communication means during core business hours. Active listening skills to understand clients' needs, and collaboration skills to work with other developers and designers. Education/Experience Requirements: Bachelor's degree in computer science, Engineering, or related field 10+ years of experience in solution architecture or cloud/data engineering Demonstrated experience designing and implementing cloud-based systems Experience working with federal agencies and understanding federal IT policies Employee Benefits Overview: Industry Competitive Compensation Medical and Dental Insurance Paid Time Off/Holidays 401(k) Retirement Plans with Matching Remote Work* Paid Training Employee Referral Program Employee Development Program?

Responsibilities

The role involves leading the design of a cloud-based, AI-enabled system architecture, setting up AWS infrastructure, and building the initial ingestion pipeline for structured and unstructured data. Responsibilities also include evaluating AI/ML vendor tools and supporting technical planning, risk identification, and implementation planning for Phase 1.