Full Stack ETL Developer

About the role

Fantom Corporation is a mission-focused organization supporting critical programs across the defense and intelligence community. We partner with our customers to deliver high-impact technical solutions while fostering a culture built on trust, expertise, and long-term career growth. This role combines data engineering, full-stack software development, cloud architecture, graph databases, MLOps, and DevSecOps.

Responsibilities

• Design and maintain enterprise-grade batch and real-time ETL/ELT pipelines
• Develop front-end applications using React, Next.js, WebGL, or similar technologies
• Develop backend services and microservices using Python, Java, Scala, C/C++, and REST APIs
• Design and operate large-scale big data, NoSQL, relational, and graph database solutions
• Build and optimize graph databases and traversal capabilities using technologies such as Gremlin, Cassandra, Neo4j, JanusGraph, and TinkerPop
• Develop high-performance data processing pipelines using PySpark, Lambda, Step Functions, NiFi, and related technologies
• Design data models, partitioning/sharding strategies, indexing, stream processing, and record aggregation workflows
• Develop and maintain cloud-native solutions across AWS and other cloud platforms
• Build and operate Kubernetes and Docker-based infrastructure
• Develop CI/CD, Infrastructure as Code, DevSecOps, and MLOps pipelines
• Implement data security, encryption, auditing, LDAP-based access controls, and data governance
• Support federal security, compliance, and accreditation requirements
• Collaborate across engineering and stakeholder teams to develop technical strategies that meet mission requirements

Requirements

• Must be fully cleared with a recent polygraph
• Must be willing and able to work fully onsite at the location listed in this posting

Qualifications

• Experience designing and operating large-scale data systems supporting billions to trillions of records/events
• Strong experience with ETL/ELT, batch and real-time data pipelines, and distributed data processing
• Full-stack development experience with React/Next.js and backend technologies such as Python, Java, or Scala
• Experience with REST APIs and microservices architectures
• Experience with Docker, Kubernetes, CI/CD, and Infrastructure as Code
• Experience with AWS or other major cloud platforms
• Strong experience with relational, NoSQL, and graph databases
• Experience with technologies such as DynamoDB, Cassandra, PostgreSQL, MongoDB, Neo4j, ELK, MariaDB, MinIO, and S3
• Experience with Spark/PySpark, Lambda, Step Functions, and stream-processing workflows
• Knowledge of graph technologies such as Apache Gremlin, TinkerPop, and JanusGraph
• Experience with probabilistic/statistical modeling, including risk scoring, Bayesian inference, and Monte Carlo simulation
• Experience developing MLOps pipelines for large-scale applications
• Experience with data security, governance, encryption, auditing, and LDAP
• Experience implementing DevSecOps and Agile development practices in production environments
• Experience with federal security, regulatory, compliance, and accreditation requirements
• Experience working with structured, semi-structured, and unstructured data formats including JSON, CSV, AVRO, Parquet, and Protocol Buffers

Desired Qualifications

• Experience designing and operating cloud-native data platforms within Intelligence Community environments
• Experience with AWS ECS, Fargate, EMR, and multi-account AWS environments
• Experience managing AWS Organizations, Organizational Units (OU), and Service Control Policies (SCP)
• Experience with enterprise data catalogs, Policy Decision Points (PDPs), and data management services
• Experience developing MLOps and large-scale data processing pipelines within secure government environments
• Understanding of IT Service Management (ITSM) and SLA metrics
• Experience presenting complex technical solutions and requirements to diverse technical and non-technical audiences