{"id":4041810,"url":"https://alion.io/job/mastercard-senior-data-engineer-18","title":"Senior Data Engineer","company":{"id":252,"name":"Mastercard","domain":"mastercard.com","url":"https://alion.io/company/mastercard","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":85,"open_postings":184,"ghost_share":0.033,"stale_share":0.467,"repost_share":0.076,"time_to_fill_p50_days":27,"computed_at":"2026-11-10T06:52:35Z"}},"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":["Dublin, Ireland"],"countries":["IE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Git","optional":false},{"name":"Platform Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Apache Kafka","optional":true},{"name":"IAM","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-11-10T22:27:00Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T22:27:00Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Our Purpose\nMastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.\nTitle and Summary\nSenior Data EngineerOverviewThe Data Commercialization Platform (DCP) is Mastercard’s cloud-native data and analytics platform focused on building secure, scalable, governed, and reusable data products. The platform leverages Databricks, Snowflake, Apache Iceberg, Delta Lake, and AWS/Azure to enable enterprise data sharing, analytics, AI/ML, and data commercialization capabilities. The role contributes to both data product development and platform engineering, ensuring reliable, secure, and compliant data solutions.\nRole\nDesign, develop, and support cloud-native data products and platform capabilities.\nBuild and operate scalable batch and streaming data pipelines.\nDevelop reusable frameworks, accelerators, and platform services on Databricks, Snowflake, Iceberg, and cloud platforms.\nImplement data governance, security, observability, and operational controls.\nSupport platform modernization, automation, and engineering excellence through CI/CD and Infrastructure as Code.\nCollaborate with product, architecture, platform, governance, and business teams to deliver enterprise data solutions.\nParticipate in production support, operational readiness, and continuous improvement activities.\nAll About You\nRequired Qualifications\nBachelor’s degree in Computer Science, Engineering, Information Systems, Mathematics, or a related technical field.\nExperience designing, developing, and supporting large-scale data engineering and platform engineering solutions.\nHands-on experience with Databricks, Snowflake, Apache Iceberg, Delta Lake, and AWS and/or Azure.\nStrong proficiency in Python, SQL, Spark/PySpark, and data engineering best practices.\nExperience building batch and real-time data processing pipelines.\nExperience with orchestration and workflow automation tools (e.g., Airflow).\nExperience with CI/CD, Git, automated testing, Infrastructure as Code, and production support.\nUnderstanding of data governance, security controls, data quality, metadata, and lineage.\nStrong analytical, problem-solving, communication, and collaboration skills.\nPreferred Qualifications\nExperience with Kafka and event-driven architectures.\nExperience with Data Contracts, Data Mesh, and data product architectures.\nExperience supporting AI/ML and advanced analytics workloads.\nExperience with Terraform and cloud infrastructure automation.\nKnowledge of enterprise security, IAM, encryption, and privacy controls.\nExperience working in financial services or other highly regulated industries.\nCorporate Security Responsibility\nAll activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:\nAbide by Mastercard’s security policies and practices;\nEnsure the confidentiality and integrity of the information being accessed;\nReport any suspected information security violation or breach, and\nComplete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.\nCorporate Security Responsibility\nAll activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:\nAbide by Mastercard’s security policies and practices;\n\nEnsure the confidentiality and integrity of the information being accessed;\n\nReport any suspected information security violation or breach, and\n\nComplete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.","description_format":"text","description_chars":4209,"description_truncated":false,"requirements":{"experience_years_min":null,"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":["Cards & Card Issuing","Payment Processing & Gateways"],"lifecycle":[{"event":"open","at":"2026-11-10T22:27:00Z"}],"visa":[{"country":"IE","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"Irish employment 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