{"id":2962575,"url":"https://alion.io/job/clera-senior-data-engineer-6","title":"Senior Data 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":"2026-10-25T05:49:26Z"}},"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":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":100000,"max":140000,"currency":"USD","period":"year","gross":null,"usd_annual":140000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Aiohttp","optional":false},{"name":"Asyncio","optional":false},{"name":"Dagster","optional":false},{"name":"dbt","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"HTTPX","optional":false},{"name":"LLM","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-20T20:02:40Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-25T09:24:48Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"About the Role\nJoin a data infrastructure and analytics team building a platform that turns information from multiple sources into reliable, current company intelligence. You will own the platform across architecture, ingestion, and production operations, supporting products with trusted data.\nWhat You'll Do\nDesign a multi-source data platform for concurrent ingestion, event-driven processing, and orchestrated batch workflows.\n\nBuild ingestion from provider APIs, webhooks, files, and web scraping, with rate limits and robust failure handling.\n\nOrchestrate scheduled workflows and historical backfills using Airflow, Dagster, Prefect, or similar tools.\n\nDevelop event-driven processing with messaging or task queues, including retries, dead-letter handling, and controlled replay.\n\nPreserve source payloads in Google Cloud Storage and transform them with dbt into raw, standardized, and curated layers.\n\nImplement idempotent upserts and safe retries to prevent duplicate records and data corruption.\n\nDefine data contracts, validation, pipeline tests, and monitoring for freshness and failures.\n\nOptimize PostgreSQL schemas and loading patterns, and integrate enrichment and LLM-based structured extraction.\n\nWhat We're Looking For\nAt least 5 years building and operating production data platforms that integrate multiple sources, with ownership from architecture through deployment and ongoing operations.\n\nProduction experience with workflow orchestration, including dependencies, retries, and recovery; Airflow is preferred.\n\nHands-on production experience with dbt and Google Cloud Platform.\n\nStrong Python skills, including asynchronous HTTP and concurrent processing with tools such as asyncio, aiohttp, or HTTPX.\n\nStrong SQL and PostgreSQL skills, including data modeling, query optimization, and incremental loading.\n\nExperience with event-driven systems, messaging or task queues, data contracts, raw and curated storage, retention policies, automated testing, and pipeline monitoring.\n\nExperience building platforms or substantial pipelines from scratch is valuable. Web scraping, entity resolution, BigQuery, Dataform, and LLM-based extraction are also relevant.\n\nCompensation & Benefits\nBase salary: $100,000 to $140,000 USD annually. 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