{"id":555793,"url":"https://alion.io/job/pavago-embedded-python-data-automation-engineer-4","title":"Embedded Python Data & Automation Engineer","company":{"id":1117,"name":"Pavago","domain":"pavago.co","url":"https://alion.io/company/pavago","size_band":null,"is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":76,"open_postings":192,"ghost_share":0,"stale_share":0.948,"repost_share":0,"time_to_fill_p50_days":34,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":{"label":"US time zones","utc_offset_min":-8,"utc_offset_max":-5},"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["PH"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Git","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Slack","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-08T00:00:00Z","employer_posted_date":"2026-09-08","last_verified_at":"2026-10-23T15:38:53Z","board_verified":true,"closed_at":null,"days_open":45,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":45},"description":"Embedded Python Data & Automation Engineer - APIs, Data Pipelines & Internal Tools | Remote\nPosition Type: Full-Time, Remote\nWorking Hours: Meaningful Overlap with U.S. Business Hours\nAbout the Role\nAt Pavago, one of our clients is hiring an experienced Embedded Python Data & Automation Engineer to take ownership of an existing Python environment, maintain production systems, improve data pipelines and automations, and build practical internal tools and integrations.\nThis is a hands-on engineering role with an important initial focus on knowledge transfer and system ownership. You’ll work closely with a departing programmer to understand the existing codebase, integrations, dependencies, automations, and production workflows before becoming the primary technical owner.\nBeyond maintaining what already exists, you’ll identify technical risks, improve reliability, reduce technical debt, strengthen documentation, and develop new automations and internal tools based on evolving business needs.\nIf you’re comfortable stepping into an existing Python environment, troubleshooting production systems, and gradually making them more reliable and maintainable, this role is a strong fit.\nWhat You’ll Own\nSystem Transition & Technical Ownership\nShadow the departing programmer and absorb critical system knowledge\nTake ownership of the existing Python codebase and production environment\nUnderstand current:\nApplications\nAutomations\nData pipelines\nIntegrations\nDependencies\nDeployment processes\nIdentify undocumented workflows and system dependencies\nBuild sufficient technical context to independently maintain and extend the environment\nEnsure continuity throughout the engineering transition\nProduction Support & Maintenance\nMonitor and maintain existing production systems\nTroubleshoot live issues and identify root causes\nResolve bugs and operational failures efficiently\nEnsure existing applications and automations remain stable\nInvestigate failed jobs, integrations, and unexpected system behavior\nRaise technical risks early and communicate issues clearly\nPrioritize reliability while making changes to existing systems\nData Pipelines & Automation\nMaintain, debug, and improve existing data pipelines\nMonitor scheduled automations and investigate failures\nImprove pipeline reliability and maintainability\nBuild new automations based on business requirements\nReduce repetitive manual processes through practical engineering solutions\nEnsure automated workflows remain observable and dependable\nAPIs & Integrations\nMaintain and extend existing APIs and third-party integrations\nWork with:\nREST APIs\nAuthentication flows\nWebhooks\nThird-party services\nTroubleshoot integration and authentication failures\nMaintain reliable data flow between internal and external systems\nExtend integrations as business requirements evolve\nTechnical Debt & System Reliability\nIdentify:\nFragile systems\nUndocumented dependencies\nTechnical risks\nMaintenance bottlenecks\nPrioritize technical debt based on business and operational impact\nRefactor and improve existing systems over time\nReduce unnecessary complexity where appropriate\nImprove system reliability without disrupting production workflows\nDocumentation & Knowledge Management\nCreate and maintain:\nTechnical documentation\nWorkflow diagrams\nDependency maps\nOperating procedures\nDocument systems as you learn and modify them\nEnsure important technical knowledge is not dependent on a single individual\nKeep documentation current as systems and workflows evolve\nInternal Tooling & Development\nBuild practical internal software and automation tools based on business needs\nTranslate operational requirements into technical solutions\nScope new internal tools with client stakeholders\nExtend existing systems where appropriate rather than unnecessarily rebuilding them\nBalance new development with ongoing production support and maintenance\nEngineering Practices\nUse Git and pull requests for version control and code review\nWrite and maintain automated tests where appropriate\nMaintain clear changelogs and documentation\nPush changes through staged deployment workflows\nTest changes before releasing them into production\nFollow disciplined engineering practices while working within an existing environment\nRequirements\n3+ years of professional Python experience in a data-focused environment\nExperience building or maintaining production data pipelines and automations\nStrong experience with:\nAPIs\nThird-party integrations\nAuthentication\nWebhooks\nExperience working with an existing or legacy codebase\nWorking knowledge of SQL and relational databases\nFamiliarity with:\nGit\nPull requests\nAutomated testing\nDeployment workflows\nStrong troubleshooting and problem-solving skills\nStrong written English communication skills\nStrong technical documentation capabilities\nAbility to independently understand unfamiliar systems and code\nAbility to work with meaningful overlap with U.S. business hours\nNice to Have\nExperience taking ownership of systems previously maintained by another engineer\nExperience improving or modernizing legacy Python environments\nExperience developing internal business tools\nStrong understanding of data pipeline reliability and monitoring\nExperience working with scheduled jobs and automation workflows\nFamiliarity with staged production deployments\nExperience working directly with non-technical business stakeholders\nTools & Technology\nPython | SQL | Relational Databases | REST APIs | Webhooks | Authentication | Git | Pull Requests | Automated Testing | Data Pipelines | Automation Tools | Staging & Deployment Workflows | Slack\nWhat Makes You a Strong Fit\nYou’ll likely thrive in this role if you:\nAre comfortable inheriting and understanding someone else’s code\nCan troubleshoot production problems methodically\nEnjoy building automations that eliminate repetitive work\nUnderstand how data pipelines, APIs, and integrations fit together\nDocument systems as you work rather than treating documentation as an afterthought\nIdentify fragile systems and technical risks before they become major problems\nCommunicate technical issues clearly and raise concerns early\nCan balance production maintenance with new development\nPrefer disciplined testing and staged releases over making untested production changes\nTake ownership of systems rather than waiting for someone else to tell you what needs attention\nWhat a Typical Day Looks Like\nYour day may begin by checking overnight automations and reviewing any open production issues.\nYou’ll spend focused blocks working through the existing environment - reading Python code, running tests, tracing integrations, troubleshooting pipelines, and filling documentation gaps.\nEarly in the engagement, a meaningful portion of your time will be spent in handover sessions with the departing programmer. As the transition matures, your focus will increasingly shift toward new development, including building automations, improving pipeline reliability, and scoping internal tools with the client.\nCommunication will happen primarily through Slack, with planning sessions and check-ins overlapping with U.S. business hours.\nIn short: you take ownership of an existing Python environment, keep production systems reliable, and progressively improve the automations, pipelines, integrations, and internal tools the business depends on.\nKey Metrics for Success\nSmooth knowledge transfer and ownership of the existing Python environment\nProduction system stability and reliability\nSuccessful completion of scheduled automations\nReduced recurring pipeline and integration failures\nFaster resolution of production issues\nImproved technical documentation coverage\nReduction in fragile or undocumented dependencies\nReliable API and third-party integrations\nConsistent use of testing and staged deployment practices\nSuccessful delivery of new automations and internal tools\nWhy This Role Stands Out\nDirect ownership of an established production Python environment\nOpportunity to work across Python, data pipelines, APIs, integrations, and automation\nMeaningful responsibility from the beginning through a structured technical handover\nBalance between production engineering and new development\nOpportunity to reduce technical debt and improve engineering practices\nDirect collaboration with client stakeholders\nFully remote working environment\nCareer growth opportunities into:\nSenior Python Engineer\nData Engineer\nAutomation Engineer\nTechnical Lead\nData & Automation Engineering Leadership\nInterview Process\nInitial Application\nSpark Hire One-Way Video Interview\nVideo Interview Screening\nClient Interview\nOffer Stage\nSpark Hire Video Interview - Required\nAs part of the application process, all candidates are required to complete a one-way video interview through Spark Hire.\nAfter completing the first step of your application, you’ll receive a Spark Hire invitation by email with instructions to record and submit your video responses.\nCompletion of the Spark Hire video is required to be considered for the next stage. Please check your inbox as well as your spam or junk folder for the invitation.\nApply Now\nIf you have strong professional Python experience, have maintained production data pipelines and automations, and are comfortable taking ownership of an existing codebase, we’d love to hear from you.\nApply today and take ownership of the systems, integrations, and automations that keep critical business operations running.\n#PythonEngineer #PythonDeveloper #DataEngineer #AutomationEngineer #PythonAutomation #DataPipelines #APIs #SQL #Webhooks #Integrations #BackendEngineering #SoftwareEngineering #RemoteDeveloper #RemoteJobs #RemoteWork\n#LI-AG1","description_format":"text","description_chars":9664,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":["Growth opportunities"],"hiring_locations":[{"name":"Philippines","iso":"PH","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Recruiting & Staffing","Employer of Record & PEO"],"lifecycle":[{"event":"open","at":"2026-09-08T21:21:17Z"}],"visa":[],"liveness":{"score":19,"band":"cold","label":"Long shot","p_open":1,"p_active":0.44,"p_room":0.44,"age_days":45,"expected_fill_days":34,"reasons":["conf:7","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-23T05:54:15Z"},"pay":null,"html_url":"https://alion.io/job/pavago-embedded-python-data-automation-engineer-4","json_url":"https://alion.io/job/pavago-embedded-python-data-automation-engineer-4.json","meta":{"generated_at":"2026-10-23T20:29:42Z","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":2112,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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":1117},"rest":"https://alion.io/mcp/rest/get_company?id=1117"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpavago-embedded-python-data-automation-engineer-4"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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%2Fpavago-embedded-python-data-automation-engineer-4"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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%2Fpavago-embedded-python-data-automation-engineer-4"},{"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/pavago-embedded-python-data-automation-engineer-4\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpavago-embedded-python-data-automation-engineer-4"}]}