{"id":135151,"url":"https://alion.io/job/ensign-infosecurity-platform-and-data-engineer","title":"Platform and Data Engineer","company":{"id":50230,"name":"Ensign InfoSecurity","domain":"ensigninfosecurity.com","url":"https://alion.io/company/ensign-infosecurity","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":73,"open_postings":51,"ghost_share":0.529,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":9,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":42000,"max_usd":86000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":22},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Bash","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"GitLab","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"Agile","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS Lambda","optional":true},{"name":"CI/CD","optional":true},{"name":"ElasticSearch","optional":true},{"name":"Hadoop","optional":true},{"name":"KVM","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Proxmox VE","optional":true},{"name":"VMWare","optional":true}],"status":"live","first_seen_at":"2026-04-22T00:00:00Z","employer_posted_date":"2026-04-22","last_verified_at":"2026-10-17T04:48:39Z","board_verified":true,"closed_at":null,"days_open":178,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":178},"description":"Ensign is hiring !\nReporting to Head, Platforms and Data Engineering, the Platforms and Data Engineer will work closely with Data Scientists, Threat/Malware Researchers, Project Managers and Infrastructure Engineers to develop and manage high-performance analytics solutions. The incumbent will be accountable for the design, development, deployment and maintenance of AI analytics platforms as well as its data processing workflows.\nKey Responsibilities:\nFamiliarize with Ensign’s business domain and objectives to develop and deploy data solutions that meet internal business requirements and the needs of partners and customers\nDesign, develop, test, deploy operational data transformation processes.\nDesign, develop, manage data lake, data warehouse architecture and relational databases.\nProvide monitoring, maintenance and support for data operations as part of maintenance & support as required in client projects.\nEmbrace the challenge of dealing with terabytes of data on a daily basis.\nManage development, staging, production environments to provide overall system functionality, health, scalability, resiliency, and security.\nResponsible for implementing and maintaining complex AI analytics projects, focus on large sets of data to turn information into insights using multiple platforms.\nDeliver detailed documentation and ensure quality throughout project lifecycle.\nQualifications/Requirements:\nBachelor’s degree in Computer Science /Computer Engineering or equivalent\nExperience in programming (Spark, Python, Go, Bash) for data engineering purposes\nUnderstanding of modern software engineering tools such as Git, GitLab\nFamiliarity with Docker, Kubernetes and cloud services (AWS)\nFamiliarity with network concepts.\nComfort and experience working in Linux environment\nAptitude for automation and software profiling\nProven ability to handle multiple customer projects concurrently\nDetail-oriented, solution-focused and problem solver\nPreferred Skills (Good to haves):\nMinimum 3 years of experience developing data engineering pipelines\nKnowledge of different data platforms (e.g. Kafka, MongoDB, Postgres, Elasticsearch), associated tools and cloud-based technologies (e.g. Lambda, Glue).\nHave strong knowledge in DevSecOps to design, develop, test, and deploy applications for customer projects.\nExperience in Cyber Security / Telco industry will be an advantage\nKnowledge in Agile and CI/CD is desirable\nFamiliarity with virtualization platform (Proxmox, VMware, KVM)\nFamiliarity with Hadoop ecosystem and MPP databases\nAbility to demonstrate programming skills and knowledge without being overly dependent on AI.\n*Singaporeans only as the candidate may potentially be subjected to clearance depending on projects","description_format":"text","description_chars":2731,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Cybersecurity","Information Security","Managed 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