{"id":1618535,"url":"https://alion.io/job/anico-data-engineer","title":"Data Engineer","company":{"id":1963755,"name":"Anico","domain":"anico.com","url":"https://alion.io/company/anico-com","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Dayforce","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["League City, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":115000,"max_usd":226000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":769},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Azure Data Factory","optional":true},{"name":"Dimensional Modeling","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-09-11T06:00:00Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-04T22:47:09Z","board_verified":true,"closed_at":null,"days_open":23,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":23},"description":"Internal Job Title: Lead Business Intelligence Data Engineer\nLocation: League City, Texas – Datacenter I Onsite\nStatus: Full-Time, Salaried\nVacancies: 1\nReports to: Principal Business Intelligence Data Engineer\n\nLeveling Note: In review of candidate qualifications, another job level may be considered (Business Intelligence Data Engineer, or Senior Business Intelligence Data Engineer).\n\nMake an Enterprise-Wide Impact\nJoin our Data Platform team as a Lead Business Intelligence Data Engineer and help modernize the pipelines that power enterprise reporting, analytics, and actuarial models. You will lead complex data engineering efforts across mainframe, data warehouse, data lake, and cloud environments while serving as a trusted technical adviser.\n\nWhat You Will Do\nBuild, monitor, and enhance pipelines that ingest data from core enterprise systems\nPrepare, transform, govern, and validate data for reporting, analytics, and downstream models\nReverse engineer legacy SQL and mainframe processes and modernize them using Python notebooks, Databricks, or similar cloud tools\nOwn complex enterprise projects and data-domain initiatives from design through production\nDevelop standards, best practices, and workflows that improve data quality and delivery\nTroubleshoot complex data issues and provide advanced technical analysis\nMentor developers and collaborate with Actuarial, Life, Annuity, Pension Risk Transfer, and Enterprise Data Analytics teams\n\nWhat You Bring\nSix + years of relevant data engineering or business intelligence experience\nA bachelor's degree or an equivalent combination of relevant experience and professional credentials\nExpert-level SQL programming skills\nMainframe or z/OS experience, including JCL, Zeke\nHands-on experience with Python or another enterprise scripting or object-oriented language\nExperience with data ingestion, integration, ETL, and the software development lifecycle\nAbility to reverse engineer existing code and translate legacy processes into modern solutions\nStrong troubleshooting, analytical, collaboration, and technical mentoring skills\n\nPreferred Experience\nAzure or AWS cloud engineering experience\nExperience with Databricks, Snowflake, Azure Data Factory, or comparable platforms\nKnowledge of dimensional modeling, data architecture, and full-stack data delivery\nExperience in insurance or financial services\n\nReady to modernize enterprise data at scale? Apply to bring your SQL expertise, engineering mindset, and collaborative guidance to a team who are building reliable data solutions across the organization.","description_format":"text","description_chars":2574,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-01T20:39:20Z"}],"visa":[],"liveness":{"score":72,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.798,"p_room":0.9,"age_days":22,"expected_fill_days":40,"reasons":["conf:0","velocity","win:mid"],"computed_at":"2026-10-04T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/anico-data-engineer","json_url":"https://alion.io/job/anico-data-engineer.json","meta":{"generated_at":"2026-10-05T00:26:14Z","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":392,"day_limit":5000,"remaining_today":4608,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}