Manager, Data Engineering, Analytics

The Helper Bees

. Lead and manage The Helper Bees' Data Engineering & Analytics team .

Posted 9/25/2026full-timeRemote • Texas • United StatesMid-LevelSenior💰 $150,000 - $160,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowAzureBigQueryETLPandasPostgresPythonScikit-LearnSQLTableau

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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