Data Engineer - Pipelines, ETL & Analytics

ManTech International; United States; On-site; USD 110,000 - 160,000; Full time

Job summary

MANTECH in Herndon, VA seeks a Data Engineer to support data pipelines from collection to ingestion, ensuring integrity and security of data systems for cyber analysts and data scientists.

You will design, build, and optimize pipelines using Python, integrate data from APIs and files, and provide production support across environments while collaborating with cross-functional teams to enable data-driven decision-making.

Qualifications

• 5+ years’ experience developing with 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 JSON, XML, CSV and other structured or semi-structured data.

Responsibilities

• Design, build, optimize, and maintain resilient data pipelines using Python, focused on data collection, ingestion, ETL, and analytics.
• Develop and support complex data solutions, including data transformation, validation, and quality controls.
• Integrate data from internal and external sources, including REST APIs, flat files, and structured formats.
• Ensure data is available, accessible, reliable, and securely handled for stakeholders.
• Test, troubleshoot, and validate data movement, parsing, and transformation code across environments.
• Provide platform and production support, including debugging and root cause analysis.
• Collaborate with cross-functional teams to deliver data products and enable end users to use analytics environments.

Skills

Python

Data pipelines

Git/GitHub

Bash/Linux

JSON/XML/CSV

Education

Bachelor's degree in computer science or related field

High School Diploma

Tools

Elasticsearch

Kibana

AWS

Job description

MANTECH in Herndon, VA seeks a Data Engineer to support data pipelines from collection to ingestion, ensuring integrity and security of data systems for cyber analysts and data scientists.

You will design, build, and optimize pipelines using Python, integrate data from APIs and files, and provide production support across environments while collaborating with cross-functional teams to enable data-driven decision-making.