Data Warehousing Specialists

4Consulting, Inc.
Leesburg, VA, United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence ARM Architecture Automated Storage and Retrieval Systems Cyber Security Information Technology Consulting Data Cleansing Information Engineering Data Integration Data Systems Data Warehousing Systems Analysis Machine Learning
+14 more
Search Technologies Software Deployment Software Engineering SQL Databases Enterprise Data Management Snowflake Prompt Engineering Model Validation Generative AI Information Technology Data Analytics Data Management Virtual Agents Automation Anywhere

Job description

4Consulting, Inc is seeking a qualified Data Warehousing Specialists to support technology consulting, application development, systems analysis, testing, data management, cybersecurity, infrastructure, or project delivery services for client projects. The selected candidate will perform duties consistent with the client’s project requirements and company delivery standards., The candidate will be responsible for:

  1. Design and develop data and AI solutions using relevant enterprise data sources, ensuring solutions align with analytical, automation, and business requirements.
  2. Build and integrate AI-powered workflows, retrieval systems, and intelligent applications while applying appropriate data preparation, modeling, evaluation, and validation techniques.
  3. Develop, test, deploy, and monitor AI-driven solutions in production environments, evaluating performance and improving solution quality over time.
  4. Document technical methodologies, solution designs, workflows, and implementation activities while collaborating with technical teams and stakeholders to deliver project objectives.

Requirements

Bachelor’s degree in Computer Science, Information Technology, Engineering, Business, or related field, or equivalent combination of education and experience.

Experience

3-5 years of experience in data engineering, AI/ML engineering, analytics engineering, or related technical roles, including hands-on experience developing AI and data solutions.

Technical Skills

Data engineering, SQL, data modeling, semantic modeling, machine learning, artificial intelligence, data preprocessing, model evaluation, data integration, analytics workflows, application deployment, production monitoring

Business / Domain Skills

  1. Experience developing Generative AI and Retrieval-Augmented Generation (RAG) solutions, including retrieval pipelines and grounded AI responses.
  2. Hands-on experience with Snowflake AI Solutions and Snowflake Cortex AI, including enterprise data and AI workflows.
  3. Experience building AI agent workflows, vector search, prompt engineering, guardrails, and AI solution evaluation.
  4. Experience developing semantic data models and AI-powered analytics workflows using enterprise data platforms.

Communication

Ability to communicate with technical and business stakeholders.

Documentation

Ability to prepare project documentation, status updates, and deliverables.

Work Authorization

Must be legally authorized to work in the United States. Sponsorship may be considered where permitted by company policy and project requirements., 1. Strong understanding of data quality, validation, and model evaluation practices.

  1. Ability to document technical solutions and communicate complex concepts effectively.
  2. Experience deploying and monitoring production-grade data or AI applications., 4Consulting, Inc is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, citizenship status, immigration status where protected by law, or any other legally protected status. All candidates will be evaluated based on job-related qualifications, experience, skills, availability, and ability to perform the essential duties of the position.

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