Manager, Data Engineering, Analytics

🕒 September 25

🤠 Texas – Remote

🤠 Texas – Remote

💵 $150k - $160k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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The Helper Bees

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

📦 Logistics

💼 Consulting

Healthcare • Logistics • Consulting

The Helper Bees is a company that offers innovative solutions for aging-in-place, focusing on providing non-medical services that enable older adults to live independently at home. The company has built a comprehensive platform that supports payers and service providers by integrating services such as long-term care insurance claims support, home care, and digital invoicing. With a nationwide network of credentialed service providers, The Helper Bees ensures quality and streamlined care delivery through ongoing monitoring and a seamless payment process. Their platform helps reduce healthcare costs, improve health outcomes, and supports families throughout the claims process by collaborating with Long-term Care Insurance Carriers and Medicare Advantage Plans.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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