Responsibilities

Design and maintain enterprise-grade batch and real-time ETL/ELT pipelinesDevelop front-end applications using React, Next.js, WebGL, or similar technologiesDevelop backend services and microservices using Python, Java, Scala, C/C++, and REST APIsDesign and operate large-scale big data, NoSQL, relational, and graph database solutionsBuild and optimize graph databases and traversal capabilities using technologies such as Gremlin, Cassandra, Neo4j, JanusGraph, and TinkerPopDevelop high-performance data processing pipelines using PySpark, Lambda, Step Functions, NiFi, and related technologiesDesign data models, partitioning/sharding strategies, indexing, stream processing, and record aggregation workflowsDevelop and maintain cloud-native solutions across AWS and other cloud platformsBuild and operate Kubernetes and Docker-based infrastructureDevelop CI/CD, Infrastructure as Code, DevSecOps, and MLOps pipelinesImplement data security, encryption, auditing, LDAP-based access controls, and data governanceSupport federal security, compliance, and accreditation requirementsCollaborate 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/eventsStrong experience with ETL/ELT, batch and real-time data pipelines, and distributed data processingFull-stack development experience with React/Next.js and backend technologies such as Python, Java, or ScalaExperience with REST APIs and microservices architecturesExperience with Docker, Kubernetes, CI/CD, and Infrastructure as CodeExperience with AWS or other major cloud platformsStrong experience with relational, NoSQL, and graph databasesExperience with technologies such as DynamoDB, Cassandra, PostgreSQL, MongoDB, Neo4j, ELK, MariaDB, MinIO, and S3Experience with Spark/PySpark, Lambda, Step Functions, and stream-processing workflowsKnowledge of graph technologies such as Apache Gremlin, TinkerPop, and JanusGraphExperience with probabilistic/statistical modeling, including risk scoring, Bayesian inference, and Monte Carlo simulationExperience developing MLOps pipelines for large-scale applicationsExperience with data security, governance, encryption, auditing, and LDAPExperience implementing DevSecOps and Agile development practices in production environmentsExperience with federal security, regulatory, compliance, and accreditation requirementsExperience working with structured, semi-structured, and unstructured data formats including JSON, CSV, AVRO, Parquet, and Protocol Buffers#CJ

Desired Qualifications

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

• #CJ

Requirements

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

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