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Data Engineer (Op AI)ClearanceJobsUnited States
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Data Engineer (Op AI)

ClearanceJobs
  • US
    United States
  • US
    United States

À propos

divh2Data Engineer/h2pPMAT is an innovative small business founded with a passion for developing forward-leaning solutions from exceptional people that increase the missions capability. We focus on designing and building impactful digital solutions that utilize modern cloud, data, and software concepts. Our passion is working on complex and progressive challenges such as edge platform computing, containerizing legacy platforms, distributed data platforms, or heterogeneous data analysis. We recruit, retain, and foster a team motivated to pursue passions, investigate new ways of doing things, and embody an innovative and entrepreneurial spirit. We believe in being curious about every element of a problem and experiment relentlessly. We foster continuous learning in an environment that encourages positive collaboration and expands our capabilities. We tap into collective intelligence, acknowledging that the most brilliant people may not be in the room. Above all else, we believe that delivering and demonstrating is more potent than a sheet of paper. We are passionate about mission-centric design and delivering effective capabilities to and for the warfighter. Whether youre an experienced engineer or just beginning your career, youll work alongside experts who are committed to solving mission-critical problems. If youre passionate about using your skills to make a real difference, apply today and become part of a team thats shaping the future of defense technology!/ppAbout the Role: PMAT is seeking a Data Engineer to support the design, development, and deployment of high-quality data pipelines and analytics for mission-focused applications. This role integrates data engineering, exploratory data analysis, distributed systems, and cloud-native technologies to deliver performant, reliable, and secure data capabilities. The Data Engineer will collaborate across multidisciplinary teams to ensure high-quality data output, robust testing, and operational readiness in support of DoD missions./ppResponsibilities:/pulliConduct data pre-processing, exploratory data analysis, and data pipeline engineering to ensure performant and high-quality data output./liliConduct thorough testing and validation of data pipelines and analytics to ensure accuracy, reliability, and robustness./liliDesign or normalize data to common standards to support interoperability and analytical workflows./liliDevelop and deploy data pipelines and analytics in real-world applications./liliWork with multiple data formats, including CSV, JSON, XML, Parquet, and ORC./liliPerform exploratory data analysis, algorithm development, and testing./liliDeploy, monitor, and improve data pipelines for operational environments./liliImplement event streaming pipelines using Apache Kafka, RabbitMQ, or ZeroMQ./liliCollaborate with analytics, engineering, and mission teams to ensure effective data integration and output quality./liliStay current with emerging trends in data engineering, distributed systems, and modern data architecture./liliDocument data processes, pipeline structures, and engineering best practices./li/ulpRequired Skills and Experience:/pulliAt 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./liliStrong programming skills in Python./liliExperience designing or normalizing data to common standards./liliExperience with data pipeline development and real-world deployment./liliExperience with multiple data formats: CSV, JSON, XML, Parquet, ORC./liliFamiliarity with event streaming platforms (Kafka, RabbitMQ, ZeroMQ)./liliExperience with exploratory data analysis, algorithm development, and testing./liliExperience deploying, monitoring, and improving data pipelines./liliStrong problem-solving and analytical skills./liliExcellent communication skills and ability to work effectively in a collaborative team environment./liliFamiliarity with data pipeline frameworks and libraries (AirByte, Apache Airflow, dbt, Apache Iceberg, Snowflake)./liliExperience retrieving and managing GIS data (ArcGIS, PostGIS)./liliProgramming skills in Go or Rust./liliExpertise with Elasticsearch, Redis, S3, PostgreSQL, or similar data stores./liliExperience with AWS native data services: EFS, RDS, S3, SNS, SQS./liliExperience with distributed computing and parallel processing (AWS Lambda, DASK, Spark)./liliFamiliarity with cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes)./liliUnderstanding of cybersecurity principles in the context of data applications./liliPrevious experience with government agencies or military organizations./li/ulpPreferred Skills and Experience:/pulliExperience with large-scale data architecture across secure DoD or government environments./liliExperience supporting NAVWAR, NIWC Pacific, or other Navy programs./liliExperience integrating data pipelines into operational mission systems./liliFamiliarity with ML Ops or data engineering in classified or cross-domain environments./li/ulpEducation and Certification Requirements:/pulliBachelor of Science in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics./liliAdditional certifications in cloud, data engineering, GIS, or cybersecurity are a plus if required by contract./li/ulpCitizenship and Clearance Requirements:/pulliUS Citizenship/liliNo dual citizenship/liliActive DoD TS/SCI clearance required/li/ulpLocation:/pulliArlington, VA; Colorado Springs, CO; Charleston, SC; Denver, CO; or San Diego, CA./li/ulpTravel:/pulliUp to 15% CONUS (and occasional OCONUS if mission requires)./li/ulpWork Environment: PMAT offices as needed. In some cases, work in a government facility may be required. Travel may be required for customer engagement, team coordination, and mission execution. PMAT is an equal-opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law./p/div
  • United States

Compétences linguistiques

  • English
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