Senior ITP Data Engineer

Job summary

ob Title: ITP_ Data Engineer Location: Springfield, Virginia Client: Leidos Employment Type: Full-Time Rate: $150K-$180K per annum or Year Clearance Required: Current TS/SCI and Must be a US Citizen. Ability to obtain DHS EOD SCI.

Benefits

Qualifications

• Clearance Required: Current TS/SCI and Must be a US Citizen.
• 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
• Knowledge of data cataloging

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.
• 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

Degrees

Industry

Company size

Security clearance