Job Description

Salary: $160,001 - 200,000 per year Requirements:

• U.S. Citizenship required.
• No Dual citizenship allowed.
• Active TS/SCI security clearance required to start.
• Bachelors degree in a relevant field (Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics) with nine years of relevant experience, or a Masters degree with seven years of experience.
• Equivalent experience may substitute for educational requirements.
• Additional certifications in data engineering, cloud computing, geospatial technology, or cybersecurity are advantageous.
• Proficient in programming languages such as Python, Go, Rust, R, SQL, or similar.
• 10 years of experience in roles related to data analysis, engineering, machine learning, or software development.
• Must be willing to travel and work 100% on-site.
• Ability to lift and transport equipment weighing up to 50 lbs on Navy vessels.
• Familiarity with Navy safety protocols and personal protective equipment (PPE).

• Collaborate with cross-functional teams to identify and resolve operational challenges for the Navy using data and analytics.
• Create, develop, and deploy data pipelines and analytical tools for naval applications.
• Conduct exploratory data analysis and develop algorithms as needed.
• Standardize and normalize data for interoperability purposes.
• Work with various data formats including CSV, JSON, XML, Parquet, and ORC.
• Implement and oversee data pipelines and analytics in live operational settings.
• Monitor and enhance data pipeline performance to ensure reliability.
• Establish event streaming architectures using tools such as Apache Kafka, AWS Kinesis, or RabbitMQ.
• Utilize distributed computing technologies like AWS Lambda, Dask, or Spark.
• Leverage cloud-native solutions such as AWS S3, RDS, EFS, SNS, and SQS.
• Employ data frameworks like AirByte, Apache Airflow, dbt, and Snowflake for pipeline management.
• Utilize GIS tools for handling geospatial data such as ArcGIS and PostGIS.
• Create containerized setups using Docker or Kubernetes.
• Apply cybersecurity best practices within secure DoD applications.
• Effectively communicate findings and engineering solutions to both technical and mission stakeholders.

• Airflow
• AWS
• Lambda
• Cloud
• Docker
• GIS
• JSON
• Kafka
• Kubernetes
• Machine Learning
• Python
• RabbitMQ
• Rust
• SQL
• Security
• Snowflake
• Spark
• XML
• dbt
• API
• ElasticSearch
• Support
• Network
• PostgreSQL
• Redis
• pandas

More:

We are SAIC, a leading technology integrator dedicated to providing comprehensive lifecycle services and solutions in technical engineering, intelligence, and enterprise IT markets. Our mission is to redefine ingenuity through deep customer insights and domain expertise, enabling successful delivery of complex systems engineering and integration projects. With approximately 15,000 employees, we are committed to serving our customers in the U.S. federal government. Headquartered in Reston, Virginia, we generate annual revenues of about $4.5 billion. This role is based in San Diego, CA, and offers the opportunity to be part of a groundbreaking Navy-led initiative for the next five years.

last updated 12 week of 2026

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