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À propos

ITP Data Engineer
Centrifuge LLC is seeking to fill a ITP Data Engineer for one of our federal customers. Be a part of an award-winning, small business specializing in IT Consulting. We value our team members and their contributions, and to show our appreciation, we are proud to offer a comprehensive and competitive benefits package to candidates. Location: Springfield, VA Job: ITP Data Engineer Schedule: Full-time Job Description: We are seeking a skilled ITP Data Engineer to design, build, and maintain robust data pipelines that enable scalable, secure, and intelligent data processing across cloud environments. The ideal candidate will have hands-on experience in data acquisition from diverse sources, deep familiarity with modern data storage paradigms, and a passion for building pipelines that support advanced analytics and AI/ML use cases. Key Responsibilities: Data Ingestion & Acquisition: Collect and integrate data from a wide variety of structured and unstructured sources including APIs, RDBMS, file systems, third-party services, and real-time streams. Pipeline Development: Design and implement scalable ETL/ELT pipelines to clean, enrich, normalize, and semantically align data (ontology-driven transformations). Cloud Deployment: Build and deploy data pipelines and associated infrastructure on AWS or Azure, using managed services like Lambda, Glue, Step Functions, Azure Data Factory, etc. Database Architecture: Understand and optimize for different storage engines—relational (PostgreSQL, MySQL), columnar (Redshift, BigQuery), indexing engines (ElasticSearch), key-value stores (DynamoDB, Redis), Object stores (S3 or similar) and caching layers. Streaming Data Processing: Work with Apache Kafka (or similar platforms) to handle high-volume, low-latency data streams. Workflow Orchestration: Utilize Apache Airflow (or equivalent) to schedule and monitor complex data workflows. AI/ML Integration: Collaborate with data scientists to integrate LLMs and ML models into pipelines for inference, tagging, enrichment, or intelligent routing of data. Required Qualifications: Bachelor's or master’s degree in computer science, Engineering, or related field. 10+ years of experience in data engineering or software development roles. Strong proficiency in Python, including experience with libraries like pandas, PySpark, FastAPI, or similar. Solid experience with cloud services (AWS or Azure) and Cloud native data engineering tools. Proven experience in building and maintaining data pipelines using Kafka, Airflow, and other open-source frameworks. Strong grasp of database internals and trade-offs between different storage technologies. Familiarity with data governance, lineage, and metadata management concepts. Experience or strong interest in integrating LLMs and AI/ML models into production-grade data systems. Preferred Qualifications: Knowledge of data cataloging tools and semantic layer design. Experience with containerization (Docker) and orchestration (Kubernetes). Familiarity with MLOps tools or platforms (e.g., SageMaker, MLflow). If you are interested in this position, please send a copy of your latest resume to nashita.wani@iquasar.com with the information requested below. Also, let us know the best time and number to call to discuss this opportunity. In case this position is not the right fit for you, feel free to share this opportunity with your network. Thank you! Availability to start a new job Best rates Contact number Please don’t hesitate to reach out with any questions. All employment decisions are based on qualifications, merit, and business needs. Regards, Nashita Wani iQuasar, LLC Cleared Recruitment | Proposal Development | Technology nashita.wani@iQuasar.com Direct: (703) 936-0023 Main: (703) 962-6001 Ext. 579 www.iQuasar.com iQuasar, LLC is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion/belief, national, social, or ethnic origin, disability, gender/gender identity, marital/partnership status, pregnancy, medical history or genetic information, family or parental status, or any other status protected by federal and state regulations.
  • United States

Compétences linguistiques

  • English
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