Manager, Data Engineering, Analytics

🕒 Setembro 25

🤠 Texas – Remoto

🤠 Texas – Remote

💵 $150.000 - $160.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🚰 Engenheiro de Dados

👻 Score fantasma 0%

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The Helper Bees

SiteLinkedInTodas as Vagas

51 - 200 funcionários

🏥 Saúde

📦 Logística

💼 Consultoria

Healthcare • Logistics • Consulting

A The Helper Bees é uma empresa que oferece soluções inovadoras para o envelhecimento no próprio lar, focando em fornecer serviços não médicos que permitem que idosos vivam de forma independente em casa. A empresa construiu uma plataforma abrangente que apoia pagadores e prestadores de serviço através da integração de serviços como suporte a sinistros de seguro de cuidados de longo prazo, cuidados domiciliares e faturamento digital. Com uma rede nacional de prestadores de serviço credenciados, a The Helper Bees garante qualidade e entrega de cuidados racionalizada por meio de monitoramento contínuo e um processo de pagamento fluido. Sua plataforma ajuda a reduzir os custos de saúde, melhorar os resultados de saúde e apoia as famílias durante o processo de sinistros colaborando com Seguradoras de Cuidados de Longo Prazo e Planos Medicare Advantage.

Descrição

• Lead and manage The Helper Bees' Data Engineering & Analytics team • Provide mentorship, guidance, and support for technical and professional development • Design, implement, and maintain data products using Python, SQL, dbt, Airflow, BigQuery, and modern technologies • Own and manage work intake, triage, prioritization, and Jira scheduling • Establish a dbt-first, governed approach with tested, traceable, automated models • Lead expansion into predictive and prescriptive analytics, including forecasting, recommendation engines, and clustering/segmentation • Set strategic team goals aligned with company data objectives • Collaborate with Product, Accounts, Operations, C-suite leaders, external clients, and partners • Monitor team performance through feedback, code reviews, and training • Produce quality, testable, maintainable code and set coding standards • Improve deployment, sprint planning, monitoring, incident response, escalation, and workflows • Drive adoption of AI tooling such as Cursor and Claude Code • Debug complex issues across data pipelines and models • Own the data team's contribution to monthly close and scorecard reporting, including client and partner reports and invoices • Measure and improve data quality, reporting timeliness, code quality, stakeholder satisfaction, scalability, and team productivity

🎯 Requisitos

• Bachelor's degree in Computer Science, Engineering, Mathematics, Information Systems, or a related field; relevant work experience may be considered in lieu of a degree • 5+ years of experience in data analytics, data engineering, or a related data discipline, with increasing scope and responsibility • 2+ years of hands-on experience as a Data Engineer or in a highly technical data role • 2+ years of direct people-leadership experience, including hiring, coaching, performance management, and driving team execution • Proven experience crafting, communicating, and promoting strategic direction for a data team • Strong leadership, team management, data analysis, and presentation skills • Experience building and improving data warehouses and modern data pipelines • Extensive SQL and data engineering experience, including ETL/ELT solutions • BigQuery, dbt, Airflow, and Python required • Experience with Tableau, Salesforce data, and Azure/Synapse is a plus; PostgreSQL and PowerBI are nice-to-have • Experience owning an intake and prioritization process, such as in Jira • Working knowledge of machine learning and data science, including forecasting/time-series methods, recommendation engines, and clustering/segmentation • Familiarity with pandas and scikit-learn • Hands-on ML experience and exposure to deploying/monitoring models in production strongly preferred • Familiarity with or willingness to drive AI-assisted development and analytics tooling • Experience handling sensitive data responsibly; familiarity with HIPAA/PHI handling strongly preferred • Excellent communication and interpersonal skills • Must be 18 years of age or older • Demonstrated experience leading complex data initiatives from strategy through delivery, including migrations or platform transitions • Experience delivering or leading predictive/prescriptive analytics or machine-learning models preferred • Reliable internet connection and designated work environment conducive to professional phone calls and sensitive data • Ability to remain at a designated workstation for the duration of the workday and operate a computer and office productivity machinery • Selected candidates may be required to undergo a background check and/or drug screen

🏖️ Benefícios

• Remote work at approved locations within the United States • Flexible remote-work arrangement • Reasonable accommodations for qualified individuals with disabilities • Potential background check and/or drug screen as part of hiring process