Data Engineering Manager at The Helper Bees

Austin, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

16 Aug, 26

Salary

160000.0

Posted On

18 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

People Management, Strategic Planning, Python, SQL, Dbt, Airflow, BigQuery, PostgreSQL, Tableau, PowerBI, ETL/ELT, Data Warehousing, Mentorship, Stakeholder Management, Data Governance, Code Review

Industry

Insurance

Description

Description Join our winning team, honored on Forbes’ list of America’s Best Startup Employers for 2025! The Helper Bees (THB) was created to fill an obvious need in an underserved community. Inspired by love and brought to reality through passion and determination, The Helper Bees was founded to empower older adult citizens and their families in their search for quality, affordable in-home care providers. We do this by providing older adults the ability to easily review, choose, and access affordable quality in-home helpers. The Helper Bees mission is to be the best in the world at finding & fulfilling the needs of older adults. At THB, we define our company culture through our Core Values: Quickly iterate through solutions - We move at a fast pace which requires quick iterations to find a path to a repeatable solution Seek ways to create immediate impact - Be thoughtful and proactive in how you make an impact on your team. Actively look for ways to make a fast, positive impact. Bee the teammate you want to work with - We work as a team, help each other and encourage each other Ask questions, answer questions - You can't iterate through solutions if you don't ask the right questions which is why there is an expectation that questions should be asked. When you know the answer, being a good teammate means chiming in to get others up to speed. Take the time to celebrate wins - It's so easy for a team that is heads down to forget about all the great things they've accomplished. That's why we make it a priority to remind ourselves to create space to celebrate wins, big or small. Job Summary: As the Data Engineering Manager, you will report to the Vice President of Business Intelligence and lead the Data Engineering and Analytics team, responsible for both the technical execution and strategic direction of data within the company. Your leadership will be key in ensuring the team produces high-quality data reports and analyses efficiently and effectively. In this role, you will manage and develop a high-performing team of Data Engineers and Analysts, guiding their career growth, performance, and skill development. You will establish clear, achievable goals for your team and collaborate with cross-functional stakeholders to drive improvements in data processes and systems. While setting the strategic vision for the data team, you will actively participate in executing the data strategy, rolling up your sleeves when needed. As a people manager, you will foster an environment of mentorship, collaboration, and continuous learning, ensuring that your team is empowered to fulfill the broader company vision. You will work closely with leaders from the Product, Accounts, Operations, C-suite Executives and their teams to ensure alignment and successful delivery of the data strategy, acting as both a leader and an advocate for the data engineering function across the organization. Supervisory Responsibilities: Data Engineer(s) Data Analyst(s) Duties/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 Performance Metrics: Data Quality: Ensure high standards of data accuracy, completeness, and consistency by setting targets for improving data quality and enforcing data governance standards. Timeliness of Reporting: Lead the team in reducing reporting turnaround times to support timely decision-making and operational efficiency. Technical Leadership: Set clear technical directions and goals for the team. Evaluate your own and your team’s effectiveness in influencing stakeholders, mentoring team members, and adopting strategic initiatives. Code Quality and Maintainability: Monitor and assess the quality of code produced by the team, aiming for high standards of readability, scalability, and maintainability. Problem Solving and Innovation: Track the team’s ability to debug complex issues and foster a culture of innovation by recognizing creative and efficient technical solutions. Process Improvement: Measure the impact of efforts to refine and improve development processes, with a focus on enhancing the team’s productivity and efficiency. Stakeholder Satisfaction: Gather and evaluate feedback from stakeholders to assess satisfaction with data products and services, identifying areas for improvement and driving enhancements to stakeholder experiences. Scalability and Optimization: Oversee the scalability and optimization of data systems, setting goals to accommodate growing data volumes and user demands. Required Skills/Abilities: 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. Education and Experience: 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. Physical Requirements: Ability to remain at your designated workstation for the duration of the workday Constantly operates a computer and other office productivity machinery, such as a phone and Voice over Internet Protocol (VoIP). The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations. The ability to observe details at close range (typically on a computer screen) This position offers the flexibility of remote work at approved locations within the United States. Candidates must have a reliable internet connection and a designated work environment conducive to professional phone calls and sensitive data. Enjoy the convenience and comfort of working remotely while contributing to our team's success. The Helper Bees is committed to building a workplace where diversity, equity, and inclusion are valued and prioritized. We are an equal opportunity employer that welcomes all qualified applicants without discrimination based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any non-merit based or legally protected grounds. The Helper Bees provides reasonable accommodations to qualified individuals with disabilities during the job application and interview process. To request accommodation, please let your recruiter know. As part of our standard hiring process, selected candidates may be required to undergo a background check and/or drug screen. The Helper Bees adheres to applicable federal, state, and local laws regarding these screenings, and the results will be considered in accordance with applicable regulations. The Helper Bees was recently made aware of a fraudulent entity posing as our organization and requesting personal information. Please be aware of and protect yourself from scams. Visit the careers page of our website to view all current job openings.

Responsibilities

Lead the Data Engineering and Analytics team to execute the company's data strategy and produce high-quality reports. Manage the technical design and maintenance of data products while mentoring engineers and analysts for professional growth.