{"id":3376981,"url":"https://alion.io/job/the-vanguard-group-data-engineer-specialist-5","title":"Data Engineer, Specialist","company":{"id":253,"name":"The Vanguard Group","domain":"vanguard.com","url":"https://alion.io/company/vanguard","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":77,"open_postings":72,"ghost_share":0.097,"stale_share":0.556,"repost_share":0.194,"time_to_fill_p50_days":28,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Malvern, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":108000,"max_usd":205000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1343},"experience_years_min":8,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"CloudFormation","optional":false},{"name":"ETL/ELT","optional":false},{"name":"IAM","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-27T00:00:00Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-11-01T17:22:25Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Hybrid Role (in office Tues-Wed-Thurs) is based in Malvern, PA (HQ)\nResponsibilities\nDesigns, develops, and optimizes ETL processes, data pipelines, database solutions, and cloud-based data infrastructure to support scalable, reliable data processing and analytical needs.\nIntegrates large and complex datasets from multiple sources and troubleshoots data and software issues to maintain data consistency, quality, availability, and integrity.\nTranslates business and regulatory requirements into technical designs and develops maintainable, reusable code, queries, and data solutions.\nExpert building AWS cloud supporting services and technologies (Eg: Glue, Redshift, Step Functions, Amazon Q Foundational Services like IAM, Cloud Watch, Cloud formation, Lambda, Secrets Manager, Sagemaker).\nExpert in building Spark data processing applications.\nBuilds and automates dashboards, reports, and data visualizations using Power BI or similar platforms to make data and insights accessible to business partners.\nAutomates recurring data analysis and reporting workflows using Python, SQL, and other programming tools to improve efficiency, reliability, and reduce manual effort.\nPartners with business, compliance, analytics, and technology teams to understand data needs, develop solutions, and communicate technical considerations.\nCollaborates with leadership and business partners to translate data and analytical findings into clear insights for technical and non-technical audiences.\nAssesses data quality, tests solutions for their intended purpose, and supports implementation into production using established engineering and release practices.\nServes as a subject matter expert across data engineering and analytics, mentoring less-experienced data professionals and contributing to engineering standards and reusable practices.\nParticipates in special projects and performs other duties as assigned.\nEducation & Experience\n8+ years of experience in data engineering, programming, database development or administration, data management, or related data-focused disciplines.\nUndergraduate degree or an equivalent combination of education, training, and relevant experience.\nExperience developing and optimizing ETL processes, data pipelines, and solutions that integrate data from multiple sources.\nExperience using SQL for data querying, transformation, troubleshooting, and data-quality analysis.\nExperience using Python or other programming languages to develop data solutions and automate workflows.\nExperience developing reports, dashboards, or data visualizations using Power BI or similar platforms.\nExperience translating business requirements into technical solutions and communicating with technical and non-technical stakeholders.\nExperience with cloud-based data platforms or large-scale data-processing environments, preferred.\nExperience supporting Financial Crimes, SEC regulatory reporting, regulatory compliance, or financial services data, preferred.\n.\nSpecial Factors\nSupports data and reporting capabilities associated with Financial Crimes and regulatory compliance.\nSpecial Factors\nSponsorship\nVanguard is not offering visa sponsorship for this position.About Vanguard\nAt Vanguard, we don't just have a mission-we're on a mission.\nTo work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.\nHow We Work\nVanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. 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