{"id":3878890,"url":"https://alion.io/job/inclusion-cloud-data-engineer-won","title":"Data Engineer (Won)","company":{"id":3875981,"name":"Inclusion Cloud","domain":"inclusioncloud.com","url":"https://alion.io/company/inclusion-cloud","size_band":"201-500","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Dagster","optional":false},{"name":"dbt","optional":false},{"name":"GitHub","optional":false},{"name":"Looker","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-06T17:32:12Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-06T22:20:04Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"In this role, you will:\nPerform Product data engineering in partnership with Software Engineering to build new Product features and enhancements.\nBuild Product and Customer Analytic Data Architecture: Build the data infrastructure necessary to analyze & support Product strategy. \nBuild and Optimize Data Pipelines: Design, build, and deploy data pipelines from multiple source systems; refactor existing pipelines for performance.\nPerform Data Modeling: Implement data modeling best practices in dbt. \nAutomate and Monitor Data Processes: Document data workflows, automate pipelines, and establish observability and monitoring to ensure availability of analytic & Product data. \nPresent and Communicate Technical Solutions: Clearly communicate technical topics and data solutions to non-technical stakeholders to achieve buy-in. \nRequired Skills\n3-5+ years of experience in data engineering and data architecture.\nExperience working with Software Engineering and DevOps as part of the Product development lifecycle.\nDemonstrated experience building data models for capturing software application telemetry and website traffic for Product usage & site visitor analytics.\nDemonstrated experience building data models for capturing billing and subscriber transactions to support revenue and retention analytics. \nExpertise in SQL, dbt, Python, batch & streaming processing, change data capture, orchestration, scheduling, and data migration best practices - 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