{"id":1623838,"url":"https://alion.io/job/mirion-sr-data-engineer-data-platform","title":"Sr. Data Engineer, Data Platform","company":{"id":1820403,"name":"Mirion","domain":"mirion.com","url":"https://alion.io/company/mirion","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Dayforce","truth_index":{"grade":"B","score":75,"open_postings":18,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-02T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":121000,"max_usd":209000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":212},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Amazon Kinesis","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Delta Lake","optional":true},{"name":"Feature Store","optional":true}],"status":"live","first_seen_at":"2026-01-26T05:00:00Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-02T09:55:19Z","board_verified":true,"closed_at":null,"days_open":249,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":248},"description":"Senior Data Engineer responsible for architecting and leading the design of enterprise data platforms, data pipelines, and data infrastructure. This role combines technical expertise with mentorship, driving technical strategy and best practices while partnering with stakeholders to translate complex business requirements into scalable data solutions.\n\nResponsibilities\nArchitect and design enterprise-scale data platforms and pipeline solutions using Spark, Azure Databricks, and related technologies.\nBuild and optimize data models and dimensional schemas for complex analytics and AI/MLuse-cases.\nLead technical design reviews and mentor junior data engineers on best practices and architectural patterns.\nEstablish data quality, governance, and metadata management frameworks across the platform.\nCollaborate with stakeholders to define data requirements and translate them into technical solutions.\nDrive optimization initiatives for data pipeline performance, cost, and reliability.\nParticipate in hiring and team building for the data engineering function.\nContribute to architectural decisions and long-term platform strategy.\nTroubleshoot complex data pipeline failures and implement robust monitoring and alerting solutions.\n\nMinimum Qualifications\n5+ years experience in data engineering, analytics engineering, or related field.\nExpert-level SQL and experience with modern data warehouses (Snowflake, BigQuery, Redshift, etc.).\nDeep experience designing and maintaining large-scale data pipelines using Spark, Airflow, or similar orchestration tools.\nStrong proficiency in Python or Scala for complex data processing.\nAdvanced understanding of data modeling, dimensional design, data warehousing concepts.\nExperience with cloud platforms (AWS, GCP, or Azure) at scale.\nProven ability to mentor and guide junior engineers.\n\nPreferred Qualifications\nExperience architecting data platforms from the ground up.\nExperience with Databricks, Delta Lake, and lakehouse architectures.\nExpertise in real-time data streaming and event-driven architectures (Kafka, Kinesis).\nKnowledge of data governance, data lineage, and metadata management systems.\nExperience with ML infrastructure and feature stores.\nBackground in regulatory-heavy industries or complex compliance requirements.\nExperience with infrastructure-as-code and DataOps practices.","description_format":"text","description_chars":2347,"description_truncated":false,"requirements":{"experience_years_min":5,"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"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-01T20:54:54Z"}],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.256,"p_room":0.28,"age_days":249,"expected_fill_days":40,"reasons":["conf:8","stale_co","win:tail","crowd:"],"computed_at":"2026-10-02T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/mirion-sr-data-engineer-data-platform","json_url":"https://alion.io/job/mirion-sr-data-engineer-data-platform.json","meta":{"generated_at":"2026-10-03T00:37:00Z","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":221,"day_limit":5000,"remaining_today":4779,"minute_limit":60,"resets_at":"2026-10-04T00:00:00Z"}}}