By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com. THE ROLE: As a Sports Data Quality Operators: Football. You'll review and quality-check match data in non-live environments identifying and correcting play-by-play sequencing and data errors. You´ll analyze recorded match video, tag football actions and work with internal tools collaborating with supervisors on issues and improvements. This role is an entry-level position with a Service provider contract, fully remote in Colombia. WHAT YOU’LL BRING: - - Strong passion and knowledge of football. Experience playing or coaching at a competitive, amateur or semi-professional level. - Excellent attention to detail with high accuracy and efficiency - Good understanding of game rules, terminology, and match flow - Ability to work independently in a remote setup - Strong English communication and solid computer skills - Good understanding of the current landscape and recent past of major professional soccer leagues. IT WILL BE A BONUS IF YOU KNOW: - Hands-on experience with sports data entry, play-by-play QA, or tracking systems. - Prior work in live operations, game supervision, or quality assurance. - Comfort with basic reporting/dashboards (e.g., spreadsheets) to share findings and trends. As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports. One team, being brave, driving change  We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius. Let us know when you apply if you need any assistance during the recruiting process due to a disability.

• Diseñar, desarrollar y mantener soluciones de ingeniería de datos sobre AWS • Implementar procesos y componentes utilizando AWS Lambda, Amazon S3, Amazon API Gateway y Amazon RDS • Diseñar y gestionar infraestructura como código (IaC) mediante AWS CloudFormation • Implementar y mantener pipelines CI/CD utilizando GitHub Actions integrados con AWS • Garantizar buenas prácticas de versionado, testing, observabilidad y despliegue continuo • Monitorear, optimizar y resolver incidentes en ambientes productivos • Colaborar con equipos técnicos y de negocio para traducir requerimientos en soluciones escalables

The Leidos Digital Modernization Group seeks a Data Integration Software Developer for the Global Solution Management – Operations II (GSM-O II) contract, under the Global Automations & Intelligent Network Solutions (GAINS) Team. This is an exciting opportunity to work in a fast-paced environment where innovation, collaboration, and growth are at the forefront. The candidate will be responsible for integrating various data sources into Confluent (Kafka) and Elastic platforms, developing robust integration solutions, and contributing to data governance practices. The role requires senior level experience in integrations of Kafka, Elastic, Databricks, cloud platforms, and full software lifecycle automation, with experience in deploying and managing systems in a multi-site, multi-cluster environment. Candidate must be within driving distance of Fort Meade, Scott AFB, or Hill AFB. At a minimum, a Secret clearance is required upon the start of employment and within 14 days following the start date the employee must obtain their Security + certification. As a key scrum team member, you will work as part of a fast paced, Agile development and implementation team to develop in an integration solution to ensure a unified data integrated platform that expands the foundational Integrated Data Architecture platform (Confluent, ELK, and Databricks platform). You will work alongside others in support for operational end-users and support client requirements. Primary Responsibilities: - Integration Solutions: Develop and implement integration solutions for the GAINS project using Kafka and Elastic as the primary data architecture platforms, with expanded integration to other technologies, including but not limited to Databricks. - Data Integration: Integrate data sources into Confluent (Kafka), and Elastic and Databricks platforms. Develop Kafka system integrations between Elasticsearch/Logstash and other systems. - Kafka Integration & Development: Develop Kafka system integrations, custom connectors, and work with ksqlDB and Kafka Streams for data processing based on the design solution. Kafka Cluster Management: Deploy and manage Kafka clusters on Kubernetes in multi-site environments (both on-premise and cloud). - Software Lifecycle Automation: Automate the full software lifecycle, from design and development to testing and deployment, including production environments. - DevOps Pipelines: Design and build application deployment pipelines, including containerized environments using Kubernetes and Docker, and automated testing pipelines. Basic Qualifications: Education: Bachelor’s degree in Computer Science, Mathematics, Physics, Electrical Engineering, Computer Engineering, or related discipline, with 4 years of prior relevant experience; or master’s with 2 years with prior relevant experience Experience: 4+ years of combined experience in Kafka, Java, RESTful services, AWS, and full stack development Programming Background: Software development experience with Python, Java and SQL. Working knowledge of HTML and JavaScript. Search & Analytics Applications: Experience with BI tools like Kibana, and technologies like Elasticsearch, Logstash, Kafka, NiFi, and Databricks. Event Streaming & Integration: Advanced understanding of event streaming and Kafka integration. Application Integration: Experience in application integration design and strong communication skills for collaboration with virtual teams. Software Design: Experience in developing software detailed designs, particularly in ksql or kstreams. Software Development Lifecycle: Proficiency in following a software development lifecycle and maintaining production-quality code. Experience with distributed version control software such as Git and Bitbucket. Knowledge of and ability to apply principles, theories, and concepts of Software Engineering. Experience developing software on a UNIX command line platform. Software Documentation & Requirements: Develop DoD requirements, traceability, and detailed plans/schedules. Write software systems engineering documents and interface documents (IDDs/ICDs). Security Clearance: Active Secret, Interim Secret or higher DOD security clearance. Certifications: Ability to obtain Security+ certification or equivalent DoD 8570 IAT II certification within 30 days of the start date. Must be able to report into work site (Preferred: Ft. Meade, with possibility for it to be Scott AFB). There is a possibility that this role may have remote work potential. Preferred Qualifications: Text Mining & ELK Stack: Experience with text mining tools and techniques, including ELK Stack for summarization, search, and entity extraction. CI/CD & DevOps: Familiarity with CI/CD techniques, containerized pipelines, and DevOps practices. Kubernetes & Agile: Familiarity with Kubernetes deployment, Agile methodologies, and tools. Cloud Expertise: Familiarity with AWS GovCloud and cloud infrastructure, including networking and security policies. Cloud Platform Expertise: Utilize expert knowledge of cloud-integrated platforms for integration and deployment tasks. Cross-Team Collaboration: Work within a matrixed organization, collaborating with project leadership and core GMS teams to combine software and integration practices with data engineering. System Architecture & Operational Stability: Apply knowledge of system architecture, networks, and Centralized Logging (ELK) to support data transformation initiatives. Cloud & DoD Environments: Experience developing and deploying software in a DoD environment (DISA experience is a plus), including experience building and deploying software applications that meet DoD security standards, including updating applications and code to meet security scans and meeting security implementation guidelines (e.g. STIGs). Agile Processes: Experience with Agile methodologies and related tools. Experience with Atlassian tools, including JIRA and Confluence. Certifications: Certified Confluent Developer and Certified Elastic Engineer. Remote Teamwork: Experience working remotely with a geographically dispersed team. Agile: Strong understanding of Agile methodologies, including Scrum and SAFe. Communication: Excellent communication and collaboration skills, with the ability to engage with customers, stakeholders, team members. This role offers the opportunity to work on advanced integration projects, combining software engineering with data integration in a dynamic environment. If you meet the qualifications and are passionate about integration engineering, we encourage you to apply. If 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. Original Posting: April 15, 2026 For 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. Pay Range: Pay Range $87,100.00 - $157,450.00 The 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.

Ziel der Rolle Um zuverlässige KI-Automatisierung im großen Maßstab zu ermöglichen, suchen wir einen Data Engineer (m/w/d), der robuste Datenpipelines für den produktiven Einsatz, verteilte Datenverarbeitungssysteme und hochwertige Datenstrukturen für unsere KI-Plattform entwickelt. Du spielst eine zentrale Rolle dabei, sicherzustellen, dass KI-Systeme schnell, sicher und strukturiert auf die benötigten Daten zugreifen können. Deine Aufgaben - Design und Aufbau skalierbarer Datenpipelines zur Aufnahme, Transformation und Bereitstellung strukturierter und unstrukturierter Daten - Entwicklung verteilter Datenverarbeitungs-Workflows zur Unterstützung von KI-Features wie Wissensabruf, Automatisierungsprozessen und Analytics - Aufbau und Betrieb von Daten-Ingestionssystemen zur Anbindung von Enterprise-APIs, Datenbanken, File Storage und Streaming-Quellen - Modellierung und Optimierung von Datensätzen für KI-Anwendungen, inklusive Embeddings-Pipelines und Vektorindexierung - Sicherstellung von Datenqualität, Konsistenz und Observability über alle Pipelines und Speicherlösungen hinweg - Optimierung von Abfrageperformance, Datenaktualität und Kosteneffizienz in großen Datensystemen - Enge Zusammenarbeit mit AI Engineers zur Umsetzung von Retrieval-Augmented Generation (RAG) und wissensbasierten KI-Features - Implementierung von Batch- und Echtzeitverarbeitung mittels Queues, Streaming-Systemen oder eventgetriebenen Architekturen - Design und Betrieb von Datenspeicherlösungen wie relationalen Datenbanken, Object Storage und Vektordatenbanken - Umsetzung von Data-Governance-Praktiken (z. B. Zugriffskontrolle, Datenherkunft/Lineage und Monitoring) - Zusammenarbeit mit DevOps bei containerisierten Deployments, Infrastrukturautomatisierung und Cloud-Datenservices - Zusammenarbeit mit unserem Data-Research-Team Dein Profil - Fundierte Erfahrung im Aufbau von Datenpipelines im produktiven Einsatz - Gutes Verständnis von verteilten Systemen und skalierbaren Datenarchitekturen - Erfahrung im Umgang mit großen Datenmengen und deren Performance-Optimierung - Vertrautheit mit modernen Daten-Tools und Workflow-Orchestrierung - Erfahrung in der Bereitstellung von Daten für AI/ML- oder Analytics-Anwendungen - Pragmatistische Arbeitsweise mit Fokus auf Zuverlässigkeit und Wartbarkeit - Fähigkeit zur Zusammenarbeit mit Backend-, AI- und Infrastruktur-Teams - Interesse an KI-getriebenen Datensystemen und neuen Entwicklungen im Bereich Dateninfrastruktur Unser Tech Stack & Bereiche - SQL (mindestens 5 Jahre Erfahrung) - Praktische Erfahrung mit Python - PostgreSQL / analytische Datenbanken - Konzepte der verteilten Datenverarbeitung - Streaming- / Messaging-Systeme - Datenmodellierung & Pipeline-Orchestrierung - Vektordatenbanken & Embeddings-Pipelines - Cloud-Plattformen (Azure, GCP oder AWS) - Docker & CI/CD Was wir bieten - Impact: Aufbau intelligenter produktiver Systeme, die den Einsatz von KI in Unternehmen neu definieren - Innovation: Arbeit mit modernsten Frameworks und Modell-Ökosystemen - Kultur: Kollaboratives, kreatives und eigenverantwortliches Team - Flexibilität: Remote-first und flexible Arbeitszeiten - Wachstum: Zugang zu KI-Ressourcen, Tools und Weiterbildungen - Beteiligung: Virtual Stock Option Plan (VSOP)