Data Engineer

MANTECH

United States

On-site

USD 90,000 - 150,000

Full time

2 days ago
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Job summary

MANTECH is seeking a motivated Data Engineer to join our team in the United States. The role focuses on building and refining data pipelines, optimizing performance, and enabling reliable data distribution for downstream users.

Candidates should have hands-on experience with SQL/NoSQL, distributed computing, and API-driven architectures, along with strong documentation skills and Agile practices. A Secret clearance is preferred where applicable.

Qualifications

  • Bachelor’s degree in a STEM field as a baseline requirement.
  • Experience with data structures, databases, distributed computing, and APIs.
  • Familiarity with Agile practices and Git operations.
  • Ability to document complex data systems clearly.

Responsibilities

  • Develop, maintain, and test data pipelines from diverse sources.
  • Write complex SQL/NoSQL queries and optimize for big data infra.
  • Design and maintain ETL pipelines to support data ingestion.
  • Extract data from SQL/NoSQL sources and platform APIs for integration.
  • Configure analytics frameworks such as MongoDB, Cassandra, Spark, Hadoop, Kafka, Hive.
  • Apply distributed systems concepts including fault tolerance and reliability.
  • Collaborate with stakeholders to address data-related issues and needs.

Skills

Data pipelines
SQL
NoSQL
Distributed computing
Agile development
Git
API-driven architectures
Technical documentation

Education

BSc in STEM

Tools

MongoDB
Cassandra
Spark
Hadoop
Kafka
Hive

Job description

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.
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