Why This Role Stands Out
This hybrid Data Engineer role offers significant opportunities to build impactful data pipelines using Python, contributing directly to cyber data delivery and security for a reputable company. You'll thrive here if you have a strong foundation in data engineering and Python development, eager to collaborate and grow within a dynamic team. Apply now to leverage your skills and advance your career!
Quick Overview
Job Description
MANTECH seeks a motivated, career and customer-oriented Data Engineer to join our team in Herndon VA. The Data Engineer will leverage their expertise with Python to support the customer's data pipelines and related applications, from collection to ingestion, and ensure the integrity and security of data systems. You will play a critical role in delivering relevant and actionable cyber data to the right customers in a format that is normalized and actionable by cyber analysts and data scientists.
Responsibilities include but are not limited to:
- Design, build, optimize, and maintain resilient data pipelines using Python, with a focus on data collection, ingestion, ETL, and analytics
- Develop and support complex data solutions, including data transformation, validation, and quality controls
- Integrate data from a variety of internal and external sources, including REST APIs, flat files, and structured/semi-structured formats
- Ensure data is available, accessible, reliable, and securely handled to meet stakeholder and operational needs
- Test, troubleshoot, and validate data movement, parsing, and transformation code across development and production environments
- Provide platform and production support, including debugging, root cause analysis, issue resolution, and ongoing maintenance
- Collaborate with cross-functional teams to deliver data products and help end users understand and effectively use analytics environments
Minimum Qualifications:
- High School Diploma and 5+ years' experience with software development in Python
- Experience with data engineering
- Experience building and maintaining data pipelines, ETL processes, and ingestion workflows
- Experience with Git/GitHub or similar version control systems
- Experience with common data formats such as JSON, XML, CSV, and other structured or semi-structured data
- Experience working with Bash, Linux, and command-line tools in a development or production environment
Preferred Qualifications:
- Bachelor's degree in computer science or similar technical field
- Experience with Elasticsearch and Kibana
- Experience with AWS services such as Lambda, EC2, and S3
- Experience with data analytics and visualization tools
- Knowledge of cyber operations
- Certified Information Systems Security Professional (CISSP certification)
Clearance Requirements: An active/current TS/SCI with Polygraph is required
Physical Requirements: Must be able to remain in a stationary position 50% of the time
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