{"id":4311289,"url":"https://alion.io/job/digitive-w2-only-need-senior-data-engineer-aml-data-hub","title":"W2 ONLY - Need Senior Data Engineer - AML Data Hub","company":{"id":3437381,"name":"Digitive","domain":"digitive.co.il","url":"https://alion.io/company/digitive-co-il","size_band":null,"is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Johnston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"MS SQL","optional":false},{"name":"SQL","optional":false},{"name":"Amazon Redshift","optional":true},{"name":"AWS","optional":true}],"status":"live","first_seen_at":"2026-11-13T18:33:50Z","employer_posted_date":null,"last_verified_at":"2026-11-13T18:33:50Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Job Title: Senior Data Engineer – AML Data Hub\n\r\rLocation: Johnston, RI (Onsite)\n\r\rJob Description\n\r\r\rOwn the support, maintenance, and continuous improvement of a large portfolio of enterprise data pipeline jobs spanning ingestion, transformation, and downstream data delivery processes.\n\rTroubleshoot complex production issues, lead recovery efforts, and coordinate activities across ETL, DBA, infrastructure, scheduling, and source-system teams.\n\rDevelop and optimize complex T-SQL solutions, including stored procedures, performance tuning, data validation routines, reconciliation processes, and operational controls.\n\rDesign and implement proactive monitoring, data quality controls, and automated recovery mechanisms to improve platform reliability.\n\rAnalyze source-system changes, assess downstream impacts, and lead implementation of data integration enhancements across hundreds of interconnected data assets.\n\rServe as a technical SME for data lineage, data models, audit frameworks, batch processing, and operational workflows.\n\r\r\rRequired Qualifications\n\r\r\r8+ years of data engineering, ETL, or enterprise data warehouse experience.\n\rAdvanced expertise in T-SQL, query optimization, stored procedures, and relational database design.\n\rDemonstrated experience supporting and maintaining a large portfolio of production data pipelines within a complex enterprise environment.\n\rStrong troubleshooting and root cause analysis skills with the ability to rapidly resolve production incidents.\n\rProven ability to work independently with minimal supervision while taking full ownership of outcomes.\n\rExcellent written and verbal communication skills with the ability to communicate effectively with business, operations, and technical stakeholders.\n\rEntrepreneurial mindset with a strong sense of accountability, urgency, and continuous improvement.\n\rExperience leading technical initiatives and influencing teams without relying solely on formal authority.\n\r\r\rPreferred Qualifications\n\r\r\rExperience with AWS, Redshift, ETL frameworks, scheduling platforms, and enterprise data integration technologies.\n\rFinancial services, risk, compliance, AML, or regulatory reporting experience.\n\rPrior experience acting as a technical lead in a mission-critical, time-sensitive production environment.\n\r\r\rWhat Makes Someone Successful in This Role\n\r\rA successful candidate is a self-starter who thinks like an owner, communicates clearly under pressure, leads through influence, and is equally comfortable writing SQL, solving production 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