Data Engineer (Senior/Expert)
About The Position
NS2 Mission is hiring a Senior/Expert Data Engineer to support its Data Pipeline team in Chantilly, Virginia. The role focuses on developing and optimizing reliable, scalable data pipelines and cloud-based platforms that support mission objectives. The engineer will address complex data engineering challenges, build production-ready data processing solutions, and improve workflows across the data lifecycle in collaboration with software engineers, data engineers, and mission stakeholders. The position offers ownership of critical data engineering initiatives and contributes to mission-focused systems in an Agile development environment. The role requires a TS/SCI with FSP clearance. The stated salary range is $181,993 to $234,878; final compensation may vary based on qualifications, experience, location, and contractual considerations. The company describes its culture as inclusive, focused on health and well-being, and supportive of flexible working models. It offers a benefits package, with details available through the company’s benefits information link.
Requirements
- Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, Information Systems, or a related technical discipline, or an equivalent combination of education and experience.
- Approximately 8–12 years of experience in data engineering, software engineering, or a related technical field; candidates with experience aligned to Senior through Expert-level responsibilities will be considered.
- Experience across the ETL lifecycle, including designing, developing, optimizing, and sustaining data pipelines.
- Strong proficiency in Python for developing and maintaining production-grade data processing applications.
- Hands-on experience designing, implementing, or supporting solutions in AWS, including services such as EC2, Lambda, EKS, and S3.
- Demonstrated ability to develop, troubleshoot, and optimize scalable data solutions in production environments.
- Strong understanding of data engineering principles, data modeling, performance tuning, and data quality practices.
- Experience collaborating in Agile engineering teams to deliver and sustain complex technical solutions.
- Ability to independently analyze technical challenges, recommend effective solutions, and own engineering deliverables.
- TS/SCI with FSP clearance required.
Nice To Haves
- Experience with workflow orchestration and scheduling tools such as Apache Airflow.
- Experience with containerization and orchestration technologies, including Docker and Kubernetes.
- Familiarity with Infrastructure as Code (IaC) tools such as Terraform.
- Experience with CI/CD pipelines and DevOps practices supporting automated testing, deployment, and sustainment.
- Experience processing large datasets using distributed data processing technologies or frameworks.
- Experience improving data architectures, modernizing legacy workflows, or increasing data platform scalability and resilience.
Responsibilities
- Lead the design, development, enhancement, and maintenance of scalable ETL pipelines and enterprise data workflows.
- Develop and optimize Python-based data processing applications for complex production requirements.
- Engineer data ingestion, transformation, and integration solutions for structured and unstructured data across multiple platforms.
- Evaluate and improve pipeline architecture, processing efficiency, data quality, and system reliability.
- Design, implement, and sustain cloud-based data engineering solutions in AWS environments.
- Collaborate with engineering teams and mission stakeholders to define technical approaches and deliver solutions aligned with evolving mission needs.
- Diagnose complex pipeline issues, identify root causes, and implement lasting improvements to operational stability.
- Modernize, automate, and optimize data engineering processes and workflows.
- Support and guide testing, deployment, integration, and sustainment across the data platform.
- Establish and promote data engineering best practices for code quality, scalability, maintainability, and performance.
- Produce and maintain technical documentation on system design, data workflows, and engineering processes.
- Contribute technical expertise to Agile planning, design reviews, and implementation discussions, ensuring solutions meet performance and mission requirements.
Benefits
- Benefits package designed to support employees and their families; details are available through the company’s benefits information page.
- Flexible working models.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
