Data Engineer

hackajob is collaborating with MANTECH to connect them with exceptional professionals for this role.

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.

Minimum Qualifications:

• 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).

Preferred Qualifications:

• 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.