{"id":3956746,"url":"https://alion.io/job/whitecloak-ai-native-data-engineer","title":"AI Native Data Engineer","company":{"id":3775755,"name":"Whitecloak","domain":"whitecloak.com","url":"https://alion.io/company/whitecloak","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":75,"open_postings":7,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":35,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"contractor","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pasig, Philippines"],"countries":["PH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-09T07:27:43Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T08:58:52Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Description\nAI-Native Data Engineer\nRole Overview\nWe are looking for an AI-Native Data Engineer to design, build, and maintain scalable data pipelines, integrations, and data solutions that support modern digital banking applications and enterprise platforms.\nThis role combines data engineering, data integration, data quality management, and AI-assisted development to transform raw data into reliable, accessible, and business-ready information. The ideal candidate can translate business and technical requirements into efficient data solutions while leveraging AI tools to accelerate development, improve data quality, and enhance engineering productivity.\nThe role works closely with Solutions Architects, Data Architects, Technical Leads, and development teams to implement data architectures, support application integrations, and ensure the reliability, consistency, and availability of data across enterprise systems.\nThis role serves as a key contributor to data-driven product development, helping organizations adopt AI-native approaches to data engineering, automation, and digital transformation.\nResponsibilities\nBuild, maintain, and optimize data pipelines and integrations supporting enterprise applications, digital banking features, and business processes.\nPrepare, extract, transform, validate, and manage data required for application features, customer journeys, operational processes, and reporting.\nImplement data integration solutions connecting core banking systems, Cards Management Systems, mobile applications, databases, APIs, and downstream platforms.\nDevelop and maintain data models, transformation logic, and data processing workflows in alignment with established architecture and engineering standards.\nImplement data quality checks, validation rules, monitoring, and error-handling mechanisms to ensure data accuracy, consistency, and reliability.\nCollaborate with Solutions Architects, Data Architects, Technical Leads, and software engineers to translate architecture designs into working data solutions.\nSupport data-related testing, defect investigation, troubleshooting, and resolution throughout the software development lifecycle.\nEnsure data pipelines and integrations are secure, scalable, maintainable, and performant.\nLeverage AI-assisted development tools and automation to accelerate data engineering activities, improve code quality, and increase engineering productivity.\nMaintain technical documentation covering data pipelines, transformations, integrations, data models, and operational procedures.\nQualifications\nMinimum 3 years of experience in data engineering, software engineering, or a related technical role.\nStrong programming and scripting skills using Python, SQL, or equivalent technologies.\nHands-on experience designing, building, and maintaining data pipelines and ETL/ELT processes.\nStrong understanding of relational databases, SQL, data modeling, and database performance optimization.\nExperience integrating enterprise systems through APIs, messaging platforms, databases, and other data exchange mechanisms.\nFamiliarity with data processing frameworks and tools such as Apache Spark, Kafka, Airflow, or equivalent technologies.\nExperience working with cloud-based data services and platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).\nUnderstanding of data quality management, data validation, data integrity, and data governance practices.\nFamiliarity with CI/CD, version control, automated testing, and DevOps practices.\nExperience using AI-assisted development tools, LLMs, or AI-powered automation to improve engineering workflows.\nStrong analytical, problem-solving, communication, and collaboration skills.\nDetailed Expectations\n1. Data Pipeline Development & Management\nDesign, build, maintain, and optimize data pipelines supporting enterprise applications and business requirements.\nDevelop ETL/ELT processes for extracting, transforming, processing, and loading data across different systems.\nImplement batch and real-time data processing solutions based on application and business requirements.\nEnsure pipelines are reliable, scalable, performant, and maintainable.\nMonitor pipeline execution, investigate failures, and implement appropriate error-handling and recovery mechanisms.\n2. Data Integration & Transformation\nBuild and maintain data integrations between core platforms, Cards Management Systems, mobile applications, databases, APIs, and downstream systems.\nPrepare, transform, and validate data required for digital banking features, including SB App Cards journeys and reporting.\nImplement data mapping, transformation logic, and interface specifications in alignment with approved data models and architecture designs.\nEnsure accurate and consistent data exchange across integrated platforms.\nCollaborate with application engineers to resolve integration issues and ensure seamless data flows.\n3. Data Quality, Validation & Governance\nImplement data quality checks, validation rules, and reconciliation mechanisms to ensure data accuracy, completeness, consistency, and integrity.\nDevelop monitoring mechanisms to identify data anomalies, pipeline failures, and processing issues.\nImplement appropriate logging, exception handling, and alerting mechanisms.\nEnsure data processing activities adhere to established security, access control, and data governance requirements.\nMaintain documentation covering data definitions, transformations, lineage, validation rules, and operational procedures.\n4. AI-Native Data Engineering\nLeverage AI-assisted coding tools and development agents to accelerate data pipeline development, transformation, and debugging.\nUtilize LLMs and AI-powered tools to automate repetitive data engineering activities, documentation, and code generation.\nExplore opportunities to apply AI in data validation, anomaly detection, data quality monitoring, and pipeline optimization.\nDevelop reusable prompts, workflows, and automation accelerators that improve data engineering productivity.\nApply appropriate human review, testing, and validation to AI-generated code and data transformation logic.\nStay updated on emerging AI technologies, frameworks, and tools relevant to modern data engineering.\n5. Testing, Troubleshooting & Release Support\nPerform unit testing, integration testing, and data validation to ensure the accuracy and reliability of data pipelines and integrations.\nSupport end-to-end testing of application features and business journeys that depend on data integrations.\nInvestigate and resolve data-related defects, discrepancies, and pipeline failures.\nCollaborate with Technical Leads, Solutions Architects, and QA teams to ensure data solutions meet functional and non-functional requirements.\nSupport deployment activities, production validation, and release readiness.\nMonitor data pipeline performance and reliability following deployment and implement improvements when necessary.\n6. Collaboration & Technical Execution\nWork closely with Solutions Architects and Data Architects to understand and implement approved data models, integration patterns, and architecture designs.\nCollaborate with Technical Leads and software engineers to define data interfaces, integration requirements, and implementation approaches.\nCoordinate with business analysts, product teams, and QA teams to understand data requirements and validate expected outcomes.\nParticipate in technical design discussions, code reviews, and engineering refinement sessions.\nIdentify opportunities to improve data engineering practices, reusable components, and development standards.\n7. Engineering Excellence & Continuous Improvement\nApply engineering best practices in coding, testing, version control, documentation, and deployment.\nOptimize data pipelines and queries for performance, scalability, and resource efficiency.\nEstablish reusable components, templates, and engineering practices that improve delivery consistency.\nContinuously evaluate emerging data engineering technologies, frameworks, and tools.\nIdentify opportunities to automate manual processes and improve data engineering efficiency.","description_format":"text","description_chars":8143,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Philippines","iso":"PH","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-11-09T08:58:52Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":49,"reasons":["conf:1","win:early"],"computed_at":"2026-11-09T10:24:11Z"},"pay":null,"html_url":"https://alion.io/job/whitecloak-ai-native-data-engineer","json_url":"https://alion.io/job/whitecloak-ai-native-data-engineer.json","meta":{"generated_at":"2026-11-09T10:24:11Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":11049,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-10T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3775755},"rest":"https://alion.io/mcp/rest/get_company?id=3775755"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fwhitecloak-ai-native-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fwhitecloak-ai-native-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fwhitecloak-ai-native-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/whitecloak-ai-native-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fwhitecloak-ai-native-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3956746}},{"tool":"search_jobs","arguments":{"company":"whitecloak.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3956746},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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