{"id":1268105,"url":"https://alion.io/job/clera-senior-integration-engineer","title":"Senior Integration Engineer","company":{"id":2706,"name":"Clera","domain":"getclera.com","url":"https://alion.io/company/clera","size_band":"11-50","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":80,"open_postings":30,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-09-27T05:45:00Z"}},"role":"Operations","role_family":"Operations","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["New York, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":101000,"max_usd":192000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":164},"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"BigQuery","optional":false},{"name":"Databricks","optional":false},{"name":"FastAPI","optional":false},{"name":"Go","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Pydantic","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"SOAP","optional":false},{"name":"SQL","optional":false},{"name":"SQLAlchemy","optional":false}],"status":"live","first_seen_at":"2026-09-25T21:02:15Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-27T23:39:04Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"About the Role\nThis is a high-ownership engineering role at a seed-stage AI supply chain startup focused on the CPG sector. You will own the integration layer that connects the platform's AI decision engine to the real-world systems where customer data lives: legacy ERPs, cloud data warehouses, object storage, FTP drops, and custom spreadsheets. Getting this layer right means AI-driven recommendations actually land in systems of record, reliably and at scale.\nWhat You'll Do\nBuild, extend, and maintain integrations across ERPs, cloud data warehouses, object storage, and custom data sources.\n\nDesign and orchestrate near-realtime syncs that handle millions of records per customer without manual intervention.\n\nGo deep into each external API, including its quirks and undocumented behaviors, and build connectors that hold up against real customer data.\n\nWrite round-trip integration tests that protect the full read-update-write lifecycle from data loss.\n\nValidate and cross-match data early in the pipeline to catch errors before they cause business harm.\n\nBuild monitoring and alerting so failures are caught and triaged before customers notice.\n\nWork directly with CPG operators and their IT teams, owning integrations end to end from scoping through shipping and ongoing operations.\n\nEvolve the integration layer so connecting new, unseen data sources becomes a configuration exercise rather than a rebuild.\n\nWhat We're Looking For\n3 or more years of hands-on production experience building and shipping data pipelines and integrations in Python.\n\nDeep experience integrating third-party systems via REST, SOAP, and query-language APIs, including OAuth, rate limiting, pagination, and undocumented API quirks.\n\nStrong proficiency with the Python backend stack: FastAPI, SQLAlchemy, and Pydantic.\n\nAdvanced SQL skills, including high-performance query writing and bulk upsert operations at scale (billions of records).\n\nExperience designing idempotent, re-runnable pipelines with clean fetch, validate, normalize, and upsert patterns.\n\nExperience building write-path integrations with safety rails, dry runs, failure capture, and full auditability.\n\nExperience building for operability: structured logging, sync-run tracking, alerting integrations, and failure attribution.\n\nExperience with cloud data warehouse platforms such as Snowflake, BigQuery, or Databricks.\n\nExperience with background task orchestration frameworks (such as Temporal, Hatchet, or similar) for scheduling reliable syncs.\n\nBonus: NetSuite API experience, AWS services (S3, FTP), unstructured data ingestion, or legacy ERP integration background.\n\nComfort working directly with enterprise customers and their IT teams in an end-to-end ownership model.\n\nCompensation & Benefits\nVisa sponsorship is available for this role.\nLocation\nOn-site in New York, United States.","description_format":"text","description_chars":2847,"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":"United States","iso":"US","kind":"country"},{"name":"New York","iso":null,"kind":"city"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-25T22:55:17Z"}],"liveness":{"score":38,"band":"fade","label":"Fading","p_open":1,"p_active":0.379,"p_room":1,"age_days":1,"expected_fill_days":6,"reasons":["conf:0","agency","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-09-27T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/clera-senior-integration-engineer","json_url":"https://alion.io/job/clera-senior-integration-engineer.json","meta":{"generated_at":"2026-09-28T00:54:25Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":458,"day_limit":5000,"remaining_today":4542,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}