Data Engineer

ManTech; EE. UU.; A distancia; USD 148.000 - 263.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health Insurance

Life Insurance

Paid Time Off

Disability (Short/Long-Term)

Retirement Savings

Learning and Development

Descripción de la vacante

MANTECH seeks a Data Engineer to join a fully remote role supporting national security initiatives. You will build, optimize, and test data pipelines, enable ETL processes, and ensure data from SQL/NoSQL sources is accessible to downstream users.

The role requires a Secret clearance and collaboration with cross‑functional teams on analytics platforms. Responsibilities include configuring analytic frameworks (MongoDB, Cassandra, Spark, Hadoop, Kafka, Hive), ensuring data quality, and

Formación

• Bachelor’s degree in a STEM field; CS/Software Eng preferred.
• Experience with data structures, database management, distributed computing, and API driven architectures.
• Experience with Agile Development and Git Operations.
• Experience creating and communicating complex technical documentation for data systems.

Responsabilidades

• Develop, maintain, and test data pipelines from structured and unstructured sources.
• Write complex SQL/NoSQL queries and optimize big data performance.
• Design and maintain ETL pipelines across diverse sources.
• Ingest and integrate data from relational databases and platform APIs.
• Work with MongoDB, Cassandra, Spark, Hadoop, Kafka, and Hive for analytics.

Conocimientos

Bachelor's degree

Data structures

Distributed computing

API driven architectures

Agile Development

Git Operations

Technical documentation

Educación

B.S. in STEM

Herramientas

MongoDB

Cassandra

Spark

Hadoop

Kafka

Hive

SQL

NoSQL

Descripción del empleo

General information

Requisition # R67316

Locations USA-Remote Work

Posting Date 04/27/2026

Security Clearance Required Secret

Remote Type Fully Remote

Time Type Full time

Description & Requirements

Elevate your career with MANTECH International Corporation! Join a dynamic team dedicated to national security through cutting-edge technology. Since 1968, MANTECH has led in delivering advanced solutions to government intelligence, the Department of Defense, and Federal Civilian sectors. Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Your journey to impactful work and rapid growth starts now—be extraordinary at MANTECH!
***This is for a future opportunity***

MANTECH seeks a motivated, career and customer-oriented Data Engineer to join our team.

The Data Engineer will leverage their deep understanding of performance optimization and data pipelining to make raw data more useful for the enterprise. This role requires in-depth knowledge of data manipulation tools, frameworks and language to build pipelines to distribute data sets to meet the needs of downstream users.

Responsibilities include but are not limited to:

• Developing, maintaining, and testing data pipelines to transform data from various structured and unstructured data sources.
• Developing complex queries to ensure accessibility while optimizing the performance of SQL and NoSQL for big data infrastructure.
• Creating and maintaining optimal data pipeline architecture to support extraction, transformation, and loading (ETL) of data from a wide variety of sources.
• Extracting data from multiple sources, including relational SQL and NoSQL databases and platform APIs, for data ingestion and integration.
• Configuring and managing data analytic frameworks using tools such as MongoDB, Cassandra, Spark, Hadoop, Kafka, and Hive.
• Applying distributed systems concepts and principles including consistency, availability, durability, reliability, and fault-tolerance.
• Coordinating with stakeholders and design teams to assist with data-related technical issues and support infrastructure needs.

Minimum Qualifications:

• Bachelor’s degree in a STEM field with preference towards Computer Science and Software Engineering.
• Verifiable work experience working with data structures, database management, distributed computing, and API driven architectures.
• Experience with Agile Development and Git Operations.
• Experience creating, maintaining, and communicating complex technical documentation for data systems.

Preferred Qualifications:

• Certified Data Management Professional (CDMP) certification.
• Proficiency in modeling frameworks like Universal Modeling Language (UML).
• Experience with the Sponsor’s primary cyber risk and compliance automation tools.

Clearance Requirements:

• An active Secret clearance is required with the ability to obtain and maintain TS/SCI

Physical Requirements:

• Must be able to remain in a stationary position 50%.
• Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
• Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.
• Must be able to exchange accurate information in these situations.

The projected compensation range for this position is $148,200.00-$263,000.00. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, MANTECH invests in its employees beyond just compensation. MANTECH’s benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, short-term and long-term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.

MANTECH considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation. If you need a reasonable accommodation to apply for a position with MANTECH, please email us at [e-mail] and provide your name and contact information.