Data Engineer at The Helper Bees

Austin, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

24 Jun, 26

Salary

100000.0

Posted On

26 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Data Pipelines, AI Tools, Code Reviews, Problem Solving, Stakeholder Engagement, Bash, Shell Scripting, Big Query, Airflow, Data Quality, Scalability, Testable Code, Process Optimization, Collaboration

Industry

Insurance

Description

Description Join our winning team, recently honored on Forbes’ list of America’s Best Startup Employers! 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 help people stay home longer through data-driven services that transform both the payer and the care-recipient experience. 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 a Data Engineer, you will help improve our tools, processes, and technical infrastructure. In this role, you will ensure the availability and quality of our data while contributing to the design, implementation, and maintenance of The Helper Bees’ products. You’ll collaborate across teams to create scalable and optimized software systems and play a key role in refining our development processes. This position offers a unique opportunity to learn and leverage cutting-edge AI development tools to enhance coding efficiency and develop advanced data tools and solutions. Supervisory Responsibilities: None Duties/Responsibilities: Data Infrastructure: Design, implement, and maintain data pipelines, ensuring data availability, quality, and scalability. Product Development: Build and enhance products using Python, SQL, and modern technologies. AI Integration: Leverage cutting-edge AI tools, including Cursor, ChatGPT, and Claude to improve development processes, automate workflows, and create innovative data solutions. Collaboration: Communicate across departments to design, build, test, and implement new features and enhancements. Code Excellence: Produce quality, testable, and maintainable code while participating in code reviews. Problem Solving: Debug complex issues, interact with stakeholders, and design viable solutions with clear trade-offs. Process Optimization: Contribute to improving development processes, including deployment, on-call systems, and sprint planning. Team Growth: Collaborate within the development team to help each other grow and continuously learn. Stakeholder Engagement: Partner with analysts, scientists, and IT to ensure alignment and deliver data-driven solutions. Other duties as assigned/necessary Performance Metrics: Code Quality: Maintain high coding standards through regular code reviews and adherence to best practices. Development Efficiency: Deliver high-quality features and fixes within efficient timeframes. Bug Resolution Time: Reduce the time taken to identify and resolve issues. System Scalability: Optimize system performance to handle increasing user demands. Collaboration: Foster a collaborative environment that encourages teamwork and knowledge sharing. Customer Satisfaction: Incorporate stakeholder feedback to improve solutions and enhance the customer experience. Continuous Learning: Pursue opportunities for skill development and share knowledge with the team. Requirements Required Skills/Abilities: Technical Tools: Experience with in Python and/or SQL. Experience with Bash, Shell scripting, Big Query, Airflow, and is a plus. Programming: Cleaning data using code-based approach. AI Proficiency: Interest or experience in using AI tools for coding and development of data solutions. Soft Skills: Problem-solving, cross-team collaboration, data storytelling, and stakeholder engagement. Adaptability: Thrives in a fast-paced startup environment and embraces change. Proactivity: Self-directed, organized, and able to prioritize effectively. Collaboration: Ability to work effectively with cross-functional teams. Education & Experience: A bachelor’s degree is required, and a graduate degree is preferred. Relevant experience in data engineering, software development, STEM, or related fields. Strong experience with SQL and Python is highly desirable. Mindset: A passion for innovation, continuous improvement, and delivering high-quality results from messy data. Must be 18 years of age or older Preferred Skills/Abilities: Familiarity with cloud-based solutions (e.g., Google Cloud Platform, Azure). Experience with ETL processes and tools. Experience building data visualization reports and dashboards Knowledge of modern data storage solutions and database management systems. Exposure to DevOps practices and tools for deployment and monitoring. Education and Experience: 3-5 years in a data engineering role preferred 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

The Data Engineer will be responsible for designing, implementing, and maintaining data pipelines to ensure data availability, quality, and scalability, while also building and enhancing products using Python and SQL. This role involves leveraging cutting-edge AI tools to improve development processes and collaborating across departments to implement new features.