{"id":2064756,"url":"https://alion.io/job/wex-staff-software-development-engineer-data-acquisition","title":"Staff Software Development Engineer - Data Acquisition","company":{"id":2019,"name":"WEX","domain":"wexinc.com","url":"https://alion.io/company/wex","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Melbourne, Australia"],"countries":["AU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":98000,"max_usd":208000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2065},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Java","optional":false},{"name":"Master Data Management","optional":false},{"name":"Python","optional":false},{"name":"Amazon S3","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"dbt","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-10-08T03:17:05Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-12T12:40:55Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"About the Role\nThe Data Acquisition Team is the entry point to WEX’s Data-as-a-Service platform, responsible for ingesting, validating, mastering, and delivering trusted data from internal systems and third-party providers.\nWe are seeking a Staff Software Engineer who can architect and evolve core data platform capabilities, with an initial focus on enterprise Master Data Management. You will design production software, APIs, data services, and integration frameworks that establish trusted business identities, relationships, hierarchies, reference data, and golden records across WEX.\nThis role is ideal for an engineer who combines strong software and systems engineering skills with hands-on development, architectural leadership, and mentorship. Experience building enterprise MDM solutions is preferred, but the role is not dependent on a particular MDM product.\nPractical AI development experience is required. You will use AI-assisted engineering throughout the development lifecycle and help build AI-enabled capabilities that improve data quality, engineering productivity, platform operations, and business data experiences.\nWEX is undergoing a data platform and AI transformation. This team builds the foundation by ensuring that data entering the platform is reliable, governed, correctly identified, and reusable across analytics, automation, operational applications, and AI products.\nWhat You’ll Do\nArchitect and develop scalable software, APIs, and batch or streaming data pipelines.\n\nLead the design and implementation of enterprise MDM capabilities, including identity resolution, golden records, matching, survivorship, relationships, hierarchies, and reference data.\n\nBuild reusable platform components for validation, data contracts, orchestration, retries, audit logging, lineage, and reconciliation.\n\nApply AI-assisted development across solution design, coding, testing, debugging, and documentation, and build AI-enabled capabilities where they provide value.\n\nImprove platform performance, reliability, observability, security, and cost efficiency.\n\nEstablish automated testing and CI/CD practices for software, data models, integration logic, and platform configuration.\n\nLead production troubleshooting, root-cause analysis, and preventive improvements.\n\nMentor engineers and partner with Product, Architecture, Data, Risk, and Governance teams to shape technical direction.\n\nWhat You Bring\n8+ years of software engineering experience, including distributed systems, cloud platforms, or large-scale data solutions.\n\nStrong software engineering fundamentals and advanced development experience with Python, Java, or another modern programming language.\n\nExperience building production APIs, cloud services, data pipelines, and batch or event-driven integrations.\n\nHands-on experience using AI-assisted development tools and building AI-enabled solutions using model APIs, retrieval patterns, agents, or similar technologies.\n\nUnderstanding of AI risks, including accuracy, security, privacy, model limitations, and the need to validate AI-generated outputs.\n\nStrong knowledge of automated testing, CI/CD, observability, data contracts, schema evolution, lineage, and data quality.\n\nAbility to lead architecture decisions, troubleshoot complex production problems, mentor engineers, and influence technical direction.\n\nExperience building enterprise MDM solutions is preferred, including knowledge of identity resolution, matching, survivorship, golden records, and commercial platforms such as Reltio.\n\nPreferred Experience\nExperience designing, building, or operating enterprise MDM systems.\n\nKnowledge of identity resolution, golden records, matching and merging, survivorship, crosswalks, hierarchies, relationships, reference data, data stewardship, and data quality.\n\nHands-on experience with Reltio or another enterprise MDM platform.\n\nExperience delivering Customer 360, customer onboarding, Search Before Create, or enterprise identity services.\n\nExperience with technologies such as Snowflake, dbt, Kafka, AWS, S3, infrastructure as code, and cloud observability platforms.\n\nExperience modernizing 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