Senior Data Engineer — Cloud Data Pipelines & TS Clearance

MITRE; McLean (VA); On-site; USD 124,000 - 187,000; Full time

Job summary

MITRE is seeking a Data Engineer to design, build, and operate secure, scalable data platforms and pipelines for mission-critical applications. You will work across cloud-based and self-hosted environments, focusing on data modeling, processing, governance, and robust deployment practices.

Candidates should have strong CS/SE foundations, hands-on experience with distributed data processing, data lakehouse architectures, and ETL orchestration, plus a TS clearance eligibility.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, Information Technology, or related field with 5 years of relevant experience.
• Hands-on proficiency with Data Engineering approaches, including distributed data processing, cloud-based data platforms, data lakehouse architectures, ETL orchestration, data modeling, and data governance.
• Must be eligible to obtain and maintain a Top Secret U.S Government issued Security Clearance. Per the U.S. Government’s eligibility requirements, you must be a U.S Citizen to be considered for a security clearance.
• This position requires a minimum of 3 days per week on-site.

Responsibilities

• Design, build, and operate secure, scalable data platforms and pipelines in cloud-based and self-hosted environments.
• Develop batch and streaming data-processing solutions for structured, semi-structured, and unstructured data.
• Create data models, schemas, interfaces, and storage architectures that support mission and analytical requirements.
• Evaluate and improve data quality, lineage, governance, access controls, and secure data-handling practices.
• Translate sponsor and stakeholder needs into technical requirements and practical engineering solutions.
• Diagnose complex system, performance, reliability, and data-quality problems.
• Evaluate emerging data technologies and recommend their use when they provide meaningful mission or engineering benefits.
• Follow software engineering practices such as automated testing, version control, code review, modular design, observability, and continuous integration.
• Communicate complex technical concepts clearly to both technical and non-technical audiences.
• Contribute to applied research, prototypes, and technical publications, as appropriate.

Skills

Python

SQL

Data modeling

Cloud platforms

Data governance

CI/CD

Education

Bachelor's degree in CS/SE/IT

5 years experience

Tools

Spark

Hadoop

Airflow

Docker

Kubernetes

Databricks

S3

Job description

MITRE is seeking a Data Engineer to design, build, and operate secure, scalable data platforms and pipelines for mission-critical applications. You will work across cloud-based and self-hosted environments, focusing on data modeling, processing, governance, and robust deployment practices.

Candidates should have strong CS/SE foundations, hands-on experience with distributed data processing, data lakehouse architectures, and ETL orchestration, plus a TS clearance eligibility.