Data Engineering Software Developer

Tetrad Digital Integrity (TDI) is a leading-edge cybersecurity firm with a mission to safeguard and protect our customers from increasing threats and vulnerabilities in this digital age.TDI is seeking a Data Engineering Software Developer to support a brand-new Agile development team at the forefront of federal IT modernization, delivering real digital transformation where it matters most. This is a rare ground-floor opportunity to architect, build, and integrate cutting-edge infrastructure solutions in support of some of our nation's most sensitive and critical missions.This is a fully onsite opportunity requiring a daily commute to the Washington, DC area. An active TS/SCI security clearance is required.RESPONSIBILITIES:Designs, builds, and maintains scalable, reliable data systems and pipelines to ingest, process, and transform large, complex, and disparate data sources for analytics and reportingUnifies and integrates data from multiple network operations systems into a consistent, accessible platform, ensuring data quality, accuracy, security, and compliance with DoD and DISA requirementsImplements solutions using Confluent Kafka, Elastic Stack, AWS, and Red Hat OpenShift (Kubernetes), including creating Kafka, Elastic, and Logstash pipelines and supporting Kibana visualizations and dashboards with React, JavaScript, and HTMLDevelops and manages data warehouses and data lakes to support analytics, reporting, and operational dashboards, optimizing infrastructure for performance, scalability, and cost-effectiveness through automation and best practicesContinually analyze and optimize ingestion throughput, query performance, indexing strategies, and storage efficiency across Elastic and Kafka platformsAutomates data-related tasks such as ETL/ELT processes, data validation, cleansing, monitoring, and supports CI/CD pipelines for automated build, test, and deploymentCollaborates with data analysts, visualization engineers, and other stakeholders to deliver integrated, actionable data solutions, and documents data architecture, integration patterns, and operational proceduresTroubleshoots and resolves issues related to data ingestion, processing, and platform performance, storage, memory, partitioning, and cluster performanceQUALIFICATIONS:Active DoD TS/SCI security clearance. Ability to pass additional customer suitability screening(s) prior to startCurrent Security+ or equivalent/higherBachelor’s degree in Computer Science, Engineering, or related technical discipline and 8+ years of relevant experienceHands-on experience designing, building, and maintaining data pipelines (ETL/ELT) and integrating multiple, disparate data sourcesExperience with data warehouse and/or data lake technologies (e.g., AWS Redshift, S3, Hadoop, Snowflake, or similar)Proficiency with data engineering tools and languages such as Python, Java, SQL, and shell scriptingExperience with Elastic Stack (Elasticsearch, Logstash, Kibana) and/or Kafka for data ingestion and processingFamiliarity with network operations data (logs, metrics, events, ticketing, CMDB) and related data modelsExperience with Linux/UNIX system administration and automationKnowledge of data security, access controls, and compliance frameworks (DoD, DISA, RMF, STIGs)Experience with CI/CD pipelines, containerized pipelines, version control (Git, Bitbucket), and DevOps practicesPREFERRED QUALIFICATIONS:Experience with DISA, DISN, or other DoD network environments, including developing and deploying software applications that meet DoD security standards (e.g., STIGs), and knowledge of network security, encryption, and access controls in classified environmentsFamiliarity with Kubernetes deployment, platform upgrades, patching, configuration management tools (Ansible, Puppet, Chef), and monitoring, alerting, and observability tools (Prometheus, Grafana, Elastic)Strong understanding and practical experience with Agile methodologies (Scrum, SAFe), and related tools such as Atlassian JIRA and ConfluencePAY RANGE:The anticipated salary range for this position is $130,000 - $145,000. This range is a good-faith estimate and not a guarantee of compensation. Final compensation will be based on factors including experience, education, skills, geographic location, internal equity, market data and applicable contract requirements, and may fall outside the posted range.