Full Stack ETL Developer with Security Clearance

FANTOM CORPORATION; Chantilly (VA); On-site; USD 140,000 - 190,000; Full time

Job summary

Fantom Corporation seeks a highly experienced Senior Data & Software Engineer to design, develop, and operate large-scale data platforms and mission-critical applications. The role blends data engineering, full-stack development, cloud architecture, and DevSecOps in secure environments.

Ideal candidates have expertise in ETL/ELT pipelines, graph databases, PySpark, and modern UI front-ends, with hands-on experience across AWS and containerized infrastructures.

Qualifications

• Experience designing and operating large-scale data systems for billions to trillions of records/events.
• Strong ETL/ELT, batch and real-time data pipelines, and distributed data processing.
• Full-stack development with React/Next.js and backend tech 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 DynamoDB, Cassandra, PostgreSQL, MongoDB, Neo4j, ELK, MariaDB, MinIO, and S3.
• Experience with Spark/PySpark, Lambda, Step Functions, and stream-processing workflows.
• Knowledge of graph tech such as Apache Gremlin, TinkerPop, and JanusGraph.
• Experience with probabilistic/statistical modeling and ML pipelines for large-scale apps.
• Experience with data security, governance, encryption, auditing, and LDAP.
• Experience implementing DevSecOps and Agile practices in production environments.
• Experience with federal security, regulatory, compliance, and accreditation requirements.
• Experience with JSON/CSV/AVRO/Parquet/Protocol Buffers formats

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 (Gremlin, Cassandra, Neo4j, JanusGraph, TinkerPop).
• Develop high-performance data processing pipelines using PySpark, Lambda, Step Functions, NiFi, and related technologies.
• Design data models, partitioning/sharding, indexing, streaming, and aggregation workflows.
• Develop and maintain cloud-native solutions across AWS and other clouds.
• Build and operate Kubernetes and Docker-based infrastructure.
• Develop CI/CD, IaC, DevSecOps, and MLOps pipelines.
• Implement data security, encryption, auditing, LDAP-based access controls, and governance.
• Support federal security, compliance, and accreditation requirements.
• Collaborate with engineering and stakeholder teams to meet mission requirements.

Skills

ETL/ELT pipelines

Full-stack development

React/Next.js

Python/Java/Scala

REST APIs

Docker/Kubernetes

AWS/cloud platforms

Graph/NoSQL databases

MLOps/DevSecOps

Data security/governance

Regulatory/compliance

Structured/Semi/unstructured data (CSV

Tools

Gremlin

Cassandra

Neo4j

JanusGraph

TinkerPop

PySpark

Lambda/Step Functions

NiFi

DynamoDB

PostgreSQL

MongoDB

Elasticsearch/ELK

MinIO

S3

Job description

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. We are seeking a highly experienced Senior Data & Software Engineer to design, develop, and operate large-scale data platforms and mission-critical applications. This role combines data engineering, full-stack software development, cloud architecture, graph databases, MLOps, and DevSecOps. The ideal candidate will have experience building highly scalable data systems, ETL/ELT pipelines, graph and NoSQL solutions, cloud-native applications, and modern user interfaces while operating within secure, regulated environments.

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

Required 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

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

Fantom Corp is a Software Development, Agile Cloud, Software Development, Cyber Security (Risk Management, Assessments & Authorization (A&A)), Data, AI Platform (Computer Vision Models), Podcasting Media Services, and IT Services provider. Established in 2015, Fantom Corp serves Federal customers with top-notch Cybersecurity Architects, Data Scientists/Analysts, Software Engineers/Developers, DevSecOps Engineers, Project Managers, Identity, Credential Access Management (ICAM) services , and Cloud-certified practitioners. We excel in delivering emerging technologies such as Artificial Intelligence (AI) and Machine Learning (ML) with a focus on identifying trends, object detection, and classification of structured and unstructured data. Fantom Corp possesses mastery in all aspects of digital audio production. We lead in the ideation and creation of efforts for clients who want to harness the power of podcasting. We guide them in selecting the right show format for their needs and goals. As a Small Business, we possess the innovation, speed and flexibility to meet your requirements. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.