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Data Integration Engineer
Data Integration EngineerSwarmint LLC • Bethesda, MD, US
Data Integration Engineer

Data Integration Engineer

Swarmint LLC • Bethesda, MD, US
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Job Description

Job Description

About Us :

SwarmInt is a defense AI startup developing cutting-edge computer vision and edge AI capabilities for military expeditionary forces. We strive to develop operator-in-the-loop solutions for warfighters with active contracts supporting the Department of Defense and Intelligence Community.

Job Description :

We need a Data Integration Engineer to build robust pipelines for a large-scale enterprise data solution supporting our Intelligence Community customer. You'll architect data flows that move petabytes of information from diverse sources into unified intelligence platforms. This role requires regular on-site work at customer facilities in Bethesda, Maryland, including work in classified facilities (SCIF).

Responsibilities :

  • Design and implement data pipelines integrating diverse sources
  • Build real-time streaming architectures for data ingestion and processing
  • Develop ETL / ELT workflows for transforming and standardizing multi-source data
  • Create data connectors for military and government data formats and protocols
  • Implement data quality monitoring, validation, and anomaly detection
  • Build APIs and services for efficient data access and distribution
  • Architect data flows across distributed systems
  • Optimize pipelines for performance, reliability, and fault tolerance in challenging network conditions
  • Orchestrate complex workflows and manage data dependencies
  • Document data schemas, lineage, and integration architecture
  • Deploy and manage data infrastructure using containerized deployments
  • Collaborate with AI / ML teams to prepare and deliver data for training and inference

Required Qualifications :

  • Bachelor's degree in Computer Science, Data Engineering, or related field
  • 8-12 years experience building data pipelines and integration systems
  • Experience with Elasticsearch or similar search technologies
  • Strong programming skills with experience in data processing
  • Experience with data pipeline orchestration and workflow management
  • Proficiency with databases and data modeling
  • Understanding of streaming data concepts and architectures
  • Experience with APIs and data serialization
  • Strong experience with containerization technologies (Docker)
  • Active TS / SCI with Single Scope (CI) Polygraph Required (Do not apply unless you have this)
  • U.S. Citizenship required
  • Ability to work on-site in Bethesda, Maryland 2-4 days / week including at classified facilities
  • Preferred Qualifications :

  • Experience with video streaming protocols and real-time data feeds
  • Knowledge of geospatial data formats and processing
  • Familiarity with defense data standards and military protocols
  • Experience with distributed streaming platforms
  • Proficiency with workflow orchestration frameworks
  • Experience with time-series databases and analytics
  • Knowledge of data transformation tools and frameworks
  • Understanding of ML data pipelines and feature engineering
  • Knowledge of message queuing and pub / sub systems
  • Experience with infrastructure automation tools
  • Knowledge of government data systems and security requirements (NIST 800-171, CMMC)
  • Experience in air-gapped or restricted environments
  • Experience with enterprise-scale data solutions at petabyte scale
  • Benefits :

  • Competitive salary (~$180K based on experience)
  • Annual performance bonus
  • 401k with competitive company match
  • Comprehensive health, dental, and vision insurance
  • Clearance retention bonuses
  • Work on challenging data integration problems at petabyte scale
  • Direct impact on intelligence capabilities for national security
  • Collaborative team environment with strong technical leadership
  • Professional development budget
  • Work on cutting-edge intelligence data platforms
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