Remote Data Engineer - ETL & Big Data Pipelines

ManTech; United States; Remote; USD 148,000 - 263,000; Full time

Benefits offered by this job

Health Insurance

Life Insurance

Paid Time Off

Disability (Short/Long-Term)

Retirement Savings

Learning and Development

Job summary

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

Qualifications

• 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.

Responsibilities

• 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.

Skills

Bachelor's degree

Data structures

Distributed computing

API driven architectures

Agile Development

Git Operations

Technical documentation

Education

B.S. in STEM

Tools

MongoDB

Cassandra

Spark

Hadoop

Kafka

Hive

SQL

NoSQL

Job description

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