Data Engineer

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).