PMAT, Inc. · 1 month ago
Data Engineer (Op AI)
San Diego, California, United States
Full-time
Onsite
Mid Level
$158K/yr - $165K/yr
3+ years expPMAT, Inc. is an innovative small business focused on developing impactful digital solutions. They are seeking a Data Engineer to support the design, development, and deployment of high-quality data pipelines and analytics for mission-focused applications.
Information TechnologySoftware
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Conduct data pre-processing, exploratory data analysis, and data pipeline engineering to ensure performant and high-quality data output
Conduct thorough testing and validation of data pipelines and analytics to ensure accuracy, reliability, and robustness
Design or normalize data to common standards to support interoperability and analytical workflows
Develop and deploy data pipelines and analytics in real-world applications
Work with multiple data formats, including CSV, JSON, XML, Parquet, and ORC
Perform exploratory data analysis, algorithm development, and testing
Deploy, monitor, and improve data pipelines for operational environments
Implement event streaming pipelines using Apache Kafka, RabbitMQ, or ZeroMQ
Collaborate with analytics, engineering, and mission teams to ensure effective data integration and output quality
Stay current with emerging trends in data engineering, distributed systems, and modern data architecture
Document data processes, pipeline structures, and engineering best practices
Qualification
Required
At least 3 years of experience as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst/engineer, machine learning engineer, or software engineer
Strong programming skills in Python
Experience designing or normalizing data to common standards
Experience with data pipeline development and real-world deployment
Experience with multiple data formats: CSV, JSON, XML, Parquet, ORC
Familiarity with event streaming platforms (Kafka, RabbitMQ, ZeroMQ)
Experience with exploratory data analysis, algorithm development, and testing
Experience deploying, monitoring, and improving data pipelines
Strong problem-solving and analytical skills
Excellent communication skills and ability to work effectively in a collaborative team environment
Familiarity with data pipeline frameworks and libraries (AirByte, Apache Airflow, dbt, Apache Iceberg, Snowflake)
Experience retrieving and managing GIS data (ArcGIS, PostGIS)
Programming skills in Go or Rust
Expertise with Elasticsearch, Redis, S3, PostgreSQL, or similar data stores
Experience with AWS native data services: EFS, RDS, S3, SNS, SQS
Experience with distributed computing and parallel processing (AWS Lambda, DASK, Spark)
Familiarity with cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes)
Understanding of cybersecurity principles in the context of data applications
Previous experience with government agencies or military organizations
Bachelor of Science in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics
US Citizenship
No dual citizenship
Active DoD TS/SCI clearance required
Preferred
Experience with large-scale data architecture across secure DoD or government environments
Experience supporting NAVWAR, NIWC Pacific, or other Navy programs
Experience integrating data pipelines into operational mission systems
Familiarity with ML Ops or data engineering in classified or cross-domain environments
Company
PMAT, Inc.
PMAT is a leading small business dedicated to crafting innovative solutions that elevate mission capabilities.
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Richard Domikis, PMP, CISSP
Chief Technology Officer
Company data provided by crunchbase