{"id":2515489,"url":"https://alion.io/job/convo-connector-factory-engineer","title":"Connector Factory Engineer","company":{"id":4421849,"name":"Convo","domain":"convo.com","url":"https://alion.io/company/convo-4","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"JobScore","truth_index":null},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Abuja, Nigeria"],"countries":["NG"],"hiring_countries":["PK"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":27000,"max_usd":62000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":7404},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Agile","optional":true},{"name":"Azure Data Factory","optional":true}],"status":"live","first_seen_at":"2026-09-09T12:48:42Z","employer_posted_date":"2026-09-09","last_verified_at":"2026-10-15T00:15:46Z","board_verified":true,"closed_at":null,"days_open":35,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":35},"description":"Job Summary:\nConvo is looking for a Connector Factory Engineer with 5+ years of experience in building and supporting enterprise data integrations. The ideal candidate should have strong expertise in Python, REST APIs, SFTP/file-based integrations, schema mapping, data validation, authentication, and automated testing. The role will focus on developing reliable inbound connectors, ensuring accurate data movement into standardized platform contracts, and supporting monitoring, reconciliation, and operational processes.\nTechnical mission\nBuild and maintain standardized inbound connectors for enterprise, syndicated and POS data sources using approved contracts and platform patterns.\nKey responsibilities\nImplement Python Connectors for REST APIs, SFTP/file feeds and approved database/export interfaces.\n\nMap source yaml schemas into canonical landing contracts and produce validation/error reports.\n\nImplement authentication, scheduling, pagination, retries, checkpointing and idempotent reprocessing.\n\nAdd connector-level monitoring, reconciliation and operational support procedures.\n\nMaintain configuration, mapping documentation, automated tests and handover materials.\n\nRequired technical capabilities\nMinimum experience: 5+ years building and operating enterprise data integrations or inbound connectors.\n\nStrong Python integration development.\n\nREST and SFTP/file-based integration patterns.\n\nSchema mapping, validation and structured error handling.\n\nSecure credential handling and practical API authentication mechanisms.\n\nAutomated unit/integration tests and CI-based packaging.\n\nOperational support for data feeds, including reconciliation and restartability.\n\nPreferred experience\nSAP, Dynamics 365, POS or syndicated-data integration experience.\n\nAirflow, Azure Data Factory or comparable orchestration.\n\nReusable connector frameworks and metadata-driven mapping.\n\nExpected deliverables / acceptance evidence\nConfigured, tested connectors accepted against canonical landing contracts.\n\nSource-to-target mappings and reconciliation evidence.\n\nMonitoring, restart and incident runbooks.\n\nMaintainable code and knowledge-transfer package.\n\nPrimary interfaces\nWorks under Senior Data Engineering and the Data Architect, with source-system SMEs and platform operations.\nWhat We Have For You \nGreat compensation package, medical benefit for you and your family, free lunch, annual performance-tied increments & performance recognition awards and a great lean and agile work culture!\nConvo endorses a culture of diversity in all aspects and aims to build a diverse team of amazing 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