Data Engineer (TS/SCI) with Security Clearance

Mount Indie 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.

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.

Required Skills and Experience: * 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.

Preferred Skills and Experience: * 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.

Education and Certification Requirements: * Bachelor of Science in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics.

* Additional certifications in cloud, data engineering, GIS, or cybersecurity are a plus if required by contract.

Citizenship and Clearance Requirements: * US Citizenship * No dual citizenship * Active DoD TS/SCI clearance required Location: * Arlington, VA; Colorado Springs, CO; Charleston, SC; Denver, CO; or San Diego, CA.

Travel: * Up to 15% CONUS (and occasional OCONUS if mission requires).

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