{"id":1162424,"url":"https://alion.io/job/leidos-data-engineering-software-developer","title":"Data Engineering Software Developer","company":{"id":7791,"name":"Leidos","domain":"leidos.com","url":"https://alion.io/company/leidos","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":85,"open_postings":91,"ghost_share":0,"stale_share":0.582,"repost_share":0,"time_to_fill_p50_days":22,"computed_at":"2026-09-25T05:45:01Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Washington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":107900,"max":195050,"currency":"USD","period":"year","gross":null,"usd_annual":195050},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Bitbucket","optional":false},{"name":"CI/CD","optional":false},{"name":"ElasticSearch","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Hadoop","optional":false},{"name":"JavaScript","optional":false},{"name":"Kibana","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Logstash","optional":false},{"name":"OpenShift","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Red Hat","optional":false},{"name":"ServiceNow","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Unix","optional":false},{"name":"Ansible","optional":true},{"name":"Apache NiFi","optional":true},{"name":"Azure","optional":true},{"name":"Chef","optional":true},{"name":"Configuration Management","optional":true},{"name":"Confluence","optional":true},{"name":"Databricks","optional":true},{"name":"GCP","optional":true},{"name":"Grafana","optional":true},{"name":"Prometheus","optional":true},{"name":"Puppet","optional":true},{"name":"Scrum","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-23T00:00:00Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-25T22:31:50Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Join Leidos' Digital Sector as we stand up 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.\nWhat to expect:\nEarly-stage flexibility with partial telework during initial development phases\nFull-time on-site presence at secure facility in Washington, DC will be required as the program matures\nA collaborative, Agile environment where your input shapes the architecture from day one\nDev platform based on ServiceNow, Elastic, Kafka, AWS and RedHat\nWhat you'll need:\nAn active TS/SCI clearance (required for consideration)\nWillingness to complete and maintain additional customer suitability screenings throughout employment\nCurrent Security+ certification or higher/equivalent\nPrimary Responsibilities:\nDesigns, builds, and maintains scalable, reliable data systems and pipelines to ingest, process, and transform large, complex, and disparate data sources for analytics and reporting.\nUnifies and integrates data from multiple network operations systems into a consistent, accessible platform, ensuring data quality, accuracy, security, and compliance with DoD and DISA requirements.\nImplements 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 HTML.\nDevelops 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 practices.\nContinually analyze and optimize ingestion throughput, query performance, indexing strategies, and storage efficiency across Elastic and Kafka platforms.\nAutomates data-related tasks such as ETL/ELT processes, data validation, cleansing, monitoring, and supports CI/CD pipelines for automated build, test, and deployment.\nCollaborates with data analysts, visualization engineers, and other stakeholders to deliver integrated, actionable data solutions, and documents data architecture, integration patterns, and operational procedures.\nTroubleshoots and resolves issues related to data ingestion, processing, and platform performance, storage, memory, partitioning, and cluster performance.\nBasic Qualifications:\nBachelor’s degree in Computer Science, Engineering, or related technical discipline and 8+ years of relevant experience.\nAn active TS/SCI clearance \nWillingness to complete and maintain additional customer suitability screenings throughout employment\nCurrent Security+ certification or higher/equivalent\nHands-on experience designing, building, and maintaining data pipelines (ETL/ELT) and integrating multiple, disparate data sources.\nExperience with data warehouse and/or data lake technologies (e.g., AWS Redshift, S3, Hadoop, Snowflake, or similar).\nProficiency with data engineering tools and languages such as Python, Java, SQL, and shell scripting.\nExperience with Elastic Stack (Elasticsearch, Logstash, Kibana) and/or Kafka for data ingestion and processing.\nFamiliarity with network operations data (logs, metrics, events, ticketing, CMDB) and related data models.\nExperience with Linux/UNIX system administration and automation.\nKnowledge of data security, access controls, and compliance frameworks (DoD, DISA, RMF, STIGs).\nExperience with CI/CD pipelines, containerized pipelines, version control (Git, Bitbucket), and DevOps practices.\nStrong communication and documentation skills for collaboration and knowledge sharing.\nPreferred Qualifications: \nExperience 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 environments.\nExperience with big data technologies and platforms such as Kafka, Spark, NiFi, Hadoop, Elasticsearch, Logstash, Databricks, and ELK Stack for text mining, summarization, search, and entity extraction.\nExperience with cloud-based data platforms (AWS, Azure, GCP, AWS GovCloud), cloud-integrated platforms, and infrastructure as code, including networking and security policies.\nFamiliarity with Kubernetes deployment, platform upgrades, patching, configuration management tools (Ansible, Puppet, Chef), and monitoring, alerting, and observability tools (Prometheus, Grafana, Elastic).\nExperience with BI tools like Kibana and developing and maintaining technical documentation and runbooks.\nStrong understanding and practical experience with Agile methodologies (Scrum, SAFe), and related tools such as Atlassian JIRA and Confluence.\nCertified Confluent Developer and Certified Elastic Engineer.\nExcellent communication and collaboration skills, with experience working remotely with geographically dispersed teams and within a matrixed organization to combine software, integration, and data engineering practices.\nApply knowledge of system architecture, networks, and centralized logging (ELK) to support data transformation initiatives.\nIf you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.\nOriginal Posting:\nSeptember 23, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.\nPay Range:\nPay Range $107,900.00 - $195,050.00The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.","description_format":"text","description_chars":6400,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":true,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["National Security","C4ISR","Defense Manufacturing","Engineering Services"],"lifecycle":[{"event":"open","at":"2026-09-24T00:27:20Z"}],"liveness":{"score":38,"band":"fade","label":"Fading","p_open":1,"p_active":0.379,"p_room":1,"age_days":2,"expected_fill_days":22,"reasons":["conf:0","agency","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-09-25T05:45:01Z"},"pay":{"stated_usd_annual":195050,"is_top_pay":true},"html_url":"https://alion.io/job/leidos-data-engineering-software-developer","json_url":"https://alion.io/job/leidos-data-engineering-software-developer.json","meta":{"generated_at":"2026-09-26T00:47:18Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":742,"day_limit":5000,"remaining_today":4258,"minute_limit":60,"resets_at":"2026-09-27T00:00:00Z"}}}