Data Engineering Manager

The Helper Bees is a company focused on empowering older adults and their families in finding quality in-home care providers. As the Data Engineering Manager, you will lead the Data Engineering and Analytics team, ensuring high-quality data reports and analyses while fostering a collaborative and growth-oriented environment for your team.

Responsibilities:

• Lead and manage the Data Engineering team, providing mentorship, guidance, and support to ensure technical and professional development
• Design, implement, and maintain The Helper Bees' data products using Python, SQL, dbt, Airflow and other modern technologies
• Set strategic goals for the team, ensuring alignment with the company’s data objectives and promoting continuous improvement
• Collaborate with department teams to design, build, test, and implement new features and enhancements that meet stakeholder needs
• Monitor team performance and development, fostering an environment of growth through regular feedback, code reviews, and training opportunities
• Produce quality, testable, and maintainable code, while setting high coding standards for the team
• Assist in refining and improving development processes such as deployment, on-call systems, sprint planning, and team workflows
• Facilitate problem-solving and innovation within the team, encouraging creative solutions to complex technical challenges
• Act as a technical leader for the team, growing other Data Engineers through mentorship and example, while also ensuring high-quality, scalable, and optimized software systems
• Quickly isolate and debug complex issues within the code, helping the team troubleshoot problems effectively
• Collaborate with stakeholders, product teams, and operations to understand requirements, discuss tradeoffs, and deliver viable solutions
• Drive process improvements within the team, measuring the impact on development efficiency and overall productivity
• Other duties as assigned or necessary to support team and company success

Requirements:

• Proven experience in crafting, communicating, and promoting strategic directions
• Strong leadership and team management skills, with experience in mentoring and developing a high-performing technical team
• Ability to lead change management initiatives and influence key stakeholders
• Strong data analysis and presentation skills, with experience in building and improving data warehouses
• Extensive experience with SQL and data engineering, including ETL/ELT solutions, and expertise with tools such as BigQuery, PostgreSQL, Tableau, Airflow, dbt, and PowerBI (preferred)
• Excellent communication and interpersonal skills, with a passion for guiding others
• Must be 18 years of age or older
• 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
• Demonstrated experience leading complex data initiatives from strategy through delivery
• Extensive experience with SQL and data engineering, including ETL/ELT solutions, and expertise with tools such as BigQuery, PostgreSQL, Tableau, Airflow, dbt, and PowerBI