Data Engineer

Mantech International Corporation
Washington, DC, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Microsoft Azure Data as a Services Data Auditing Information Engineering Data Governance Extract Transform Load (ETL) Data Warehousing Distributed Computing Environment Python (Programming Language) Machine Learning Meta-Data Management
+16 more
Office Suite SQL Databases Data Streaming Enterprise Data Management Data Processing Scripting Apache Spark Azure Security Center Information Technology Data Lineage Apache Kafka Data Management Vertica Azure Synapse Analytics Data Pipelines Databricks

Job description

MANTECH seeks a motivated, career, and customer-oriented Data Engineer for a new initiative within the National Capital Region. This effort supports the rapid design, deployment, operation, and sustainment of enterprise-scale AI, data, and mission platform capabilities across a cloud, edge, and classified operational environment

This role supports enterprise data ingestion, transformation, governance, and analytics pipeline development. You will ensure that data is AI-ready and optimized for operational deployment across the platform.

Responsibilities include but are not limited to:

  • Design and implement solutions for distributed data processing and streaming architectures.
  • Develop and maintain AI-ready data pipelines and capabilities for multi-source data fusion.
  • Establish and manage processes for data lineage, metadata management, and data governance.
  • Contribute to the implementation and optimization of the Enterprise Data Layer.
  • Build data services using technologies like Spark, Kafka, Trino, and Iceberg for large-scale transformation.

Requirements

  • 7 or more years of experience in data engineering, ETL/ELT pipeline development, or streaming architectures. Relevant additional experience will be considered in lieu of degree.
  • Expertise in distributed processing frameworks (e.g., Spark) and data warehousing concepts.
  • Demonstrated proficiency in SQL and Python for advanced data manipulation and scripting.
  • Experience with data quality assurance, governance, and preparing data for AI/ML models.
  • Proven experience designing, building, securing or monitoring scalable solutions within the Microsoft Azure ecosystem (e.g., Azure OpenAI, Azure Synapse, Databricks, or Azure Security Center)., * Bachelor’s degree in Data Science, Engineering, Computer Science, or a related technical field.
  • Hands-on experience with emerging data technologies like ClickHouse, Iceberg, and/or OpenSearch.
  • Familiarity with streaming platforms such as Kafka or Trino.
  • Prior experience supporting Intelligence Community data management initiatives.

Clearance Requirements:

  • TS/SCI with ability to obtain and maintain a polygraph

Physical Requirements:

  • The person in this position must be able to remain in a stationary position 50% of the time.
  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.
  • Constantly operates a computer and other office productivity machinery.

Apply for this position

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Apply on www.clearancejobs.com

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