{"schemaVersion":"jobsearcher.job.v1","id":"4a5dd02a37fb36b4130d38dd","url":"https://jobsearcher.com/jobs/4a5dd02a37fb36b4130d38dd","canonicalUrl":"https://jobsearcher.com/jobs/4a5dd02a37fb36b4130d38dd","title":"Remote Manager, Data Engineering & Analytics","description":"Join our winning team , recently honored on Forbes' list of America's Best Startup Employers!\r\nTHE 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.\r\nThe Helper Bees mission is to be the best in the world at finding & fulfilling the needs of older adults. .\r\nAt THB, we define our company culture through our Core Values:\r\nQuickly iterate through solutions - We move at a fast pace which requires quick iterations to find a path to a repeatable solution\r\nSeek 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.\r\nBee the teammate you want to work with - We work as a team, help each other and encourage each other\r\nAsk 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.\r\nTake 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.\r\nJob Summary\r\nAs the Manager of Data Engineering & Analytics , you will report to the Vice President of Business Intelligence and lead The Helper Bees' Data Engineering and Analytics team, responsible for both the technical execution and strategic direction of data across the company. Your leadership will be key in ensuring the team produces accurate, governed, and on-time data reports, invoices, and analyses that our internal leaders and external partners depend on.\r\nIn this role, you will manage and develop a high-performing team of Data Engineers and Data Analysts, guiding their career growth, performance, and skill development. You will own how the team takes in, prioritizes, and delivers work, and you will set clear, achievable goals that ladder to the company's data objectives.\r\nA central part of this role is helping the team move up the analytics maturity curve — from descriptive reporting toward predictive and prescriptive analytics. You will guide the team as we build machine-learning models to strengthen forecasting and develop algorithms such as recommendation engines and clustering/segmentation to understand members with similar diagnoses and needs profiles. You don't need to be a research scientist, but you must be technically literate enough in modern ML and data science to set direction, review approaches, partner with our data scientists, and grow analysts into this work.\r\nWhile setting the strategic vision for the data team, you will actively participate in executing the data strategy, rolling up your sleeves when needed — reviewing designs, unblocking pipelines, and making the hard tradeoff calls. As a people manager, you will foster an environment of mentorship, collaboration, and continuous learning, ensuring your team is empowered to fulfill the broader company vision, including our push to make AI a genuine multiplier for how the team works.\r\nYou will work closely with leaders from Product, Accounts, Operations, and the C-suite — as well as external clients and partners — to ensure alignment and successful delivery of the data strategy, acting as both a leader and an advocate for the data function across the organization. Because The Helper Bees operates in healthcare, you will do all of this in an environment that requires careful handling of protected health information (PHI).\r\nRequirements\r\nSupervisory Responsibilities\r\nData Engineer(s)\r\nData Analysts/Business Analysts\r\nDuties/Responsibilities:\r\nLead and manage the Data Engineering & Analytics team, providing mentorship, guidance, and support to ensure technical and professional development across a team of mixed tenure, including members still onboarding.\r\nDesign, implement, and maintain The Helper Bees' data products using Python, SQL, dbt, Airflow, BigQuery, and other modern technologies.\r\nOwn the team's intake and prioritization — how requests come in, get triaged, and get scheduled (managed in Jira) — and make that process legible to stakeholders so they can see where their requests stand and why.\r\nChampion a dbt-first, governed approach: move reporting off manual and bespoke SQL into tested, traceable, automated models, and hold the team to a high reliability bar (on-time delivery and zero manual edits to production data).\r\nLead the team's expansion into predictive and prescriptive analytics — guiding the development of ML models for forecasting, recommendation engines, and clustering/segmentation to profile members by diagnosis and need — and put the practices in place (validation, monitoring, governance) to deploy and maintain these models responsibly in a healthcare context.\r\nSet strategic goals for the team, ensuring alignment with the company's data objectives and promoting continuous improvement.\r\nCollaborate with department teams to design, build, test, and implement new features and enhancements that meet internal and external stakeholder needs.\r\nMonitor team performance and development, fostering an environment of growth through regular feedback, code reviews, and training opportunities.\r\nProduce quality, testable, and maintainable code, while setting high coding standards for the team.\r\nAssist in refining and improving development processes such as deployment, sprint planning, monitoring, incident response, escalation, and team workflows.\r\nDrive adoption of AI tooling (e.g., Cursor, Claude Code) as a multiplier for the team's engineering and analytics work — modeling personal use, and making AI experimentation and sharing a standing team practice.\r\nFacilitate problem-solving and innovation within the team, encouraging creative solutions to complex technical challenges.\r\nAct as a technical leader for the team, growing other engineers and analysts through mentorship and example, while ensuring high-quality, scalable, and optimized data systems.\r\nQuickly isolate and debug complex issues across data pipelines and models, helping the team troubleshoot problems effectively.\r\nCollaborate with stakeholders, product teams, operations, external clients, and partners to understand requirements, discuss tradeoffs, and deliver viable solutions.\r\nOwn the data team's contribution to the monthly close and scorecard — client and partner reports and invoices delivered accurately and on time — and surface exceptions proactively.\r\nDrive process improvements within the team, measuring the impact on delivery reliability, efficiency, and overall productivity.\r\nOther duties as assigned or necessary to support team and company success.\r\nPerformance Metrics\r\nData Quality: Ensure high standards of data accuracy, completeness, and consistency by setting targets for improving data quality and enforcing data governance standards.\r\nTimeliness of Reporting: Lead the team in reducing reporting turnaround times to support timely decision-making and operational efficiency.\r\nTechnical 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.\r\nCode Quality and Maintainability: Monitor and assess the quality of code produced by the team, aiming for high standards of readability, scalability, and maintainability.\r\nProblem 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.\r\nProcess Improvement: Measure the impact of efforts to refine and improve development processes, with a focus on enhancing the team's productivity and efficiency.\r\nStakeholder 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.\r\nScalability and Optimization: Oversee the scalability and optimization of data systems, setting goals to accommodate growing data volumes and user demands.\r\nRequired Skills/Abilities:\r\nProven experience in crafting, communicating, and promoting strategic direction for a data team.\r\nStrong leadership and team management skills, with experience in mentoring and developing a high-performing technical team, including people still early in their careers .\r\nAbility to lead change management initiatives and influence key stakeholders across functions.\r\nStrong data analysis and presentation skills, with experience in building and improving data warehouses and modern data pipelines.\r\nExtensive experience with SQL and data engineering, including ETL/ELT solutions, and hands-on expertise with modern tooling — BigQuery, dbt, Airflow, and Python required; experience with Tableau, Salesforce data, and Azure/Synapse a plus (PostgreSQL, PowerBI nice-to-have).\r\nExperience owning an intake and prioritization process (e.g., in Jira) and making a backlog transparent to stakeholders.\r\nWorking knowledge of machine learning and data science sufficient to set direction and review approaches — including forecasting/time-series methods, recommendation engines, and clustering/segmentation — and the Python ecosystem used to build them (e.g., pandas, scikit-learn). Hands-on ML experience and exposure to deploying/monitoring models in production strongly preferred.\r\nFamiliarity with, or willingness to drive, AI-assisted development and analytics tooling.\r\nExperience managing or transitioning work from external consultants/vendors a plus.\r\nExperience handling sensitive data responsibly; familiarity with HIPAA / PHI handling is strongly preferred given our healthcare context.\r\nExcellent communication and interpersonal skills, with a passion for guiding others and working directly with non-technical and external stakeholders.\r\nMust be 18 years of age or older.\r\nEducation and Experience\r\nBachelor's degree in Computer Science, Engineering, Mathematics, Information Systems, or a related field. Relevant work experience may be considered in lieu of a degree.\r\n5+ years of experience in data analytics, data engineering, or a related data discipline, with increasing scope and responsibility.\r\n2+ years of hands-on experience as a Data Engineer or in a highly technical data role (SQL, dbt, and pipeline orchestration such as Airflow).\r\n2+ years of direct people-leadership experience, including hiring, coaching, performance management, and driving team execution.\r\nDemonstrated experience leading complex data initiatives from strategy through delivery, including migrations or platform transitions.\r\nExperience delivering — or leading a team to deliver — predictive/prescriptive analytics or machine-learning models (e.g., forecasting, recommendation, or clustering/segmentation) preferred.\r\nPhysical Requirements\r\nAbility to remain at your designated workstation for the duration of the workday\r\nConstantly operates a computer and other office productivity machinery, such as a phone and Voice over Internet Protocol (VoIP).\r\nThe ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.\r\nThe ability to observe details at close range (typically on a computer screen)\r\nThis 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.\r\nThe 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.\r\nThe 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.\r\nAs 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.\r\nThe 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.\r\nSalary Description\r\n$150,000 - $160,000","company":"GrabJobs","rawCompany":"grabjobs","city":"Riverside","state":"CA","isRemote":true,"isActive":false,"createdAt":"2026-08-12T00:45:10.551Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"}],"industries":[{"code":"624120","title":"Services for the Elderly and Persons with Disabilities","slug":"services-for-the-elderly-and-persons-with-disabilities"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"112910","title":"Apiculture","slug":"apiculture"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Remote Manager, Data Engineering & Analytics","description":"Join our winning team , recently honored on Forbes' list of America's Best Startup Employers!\r\nTHE 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.\r\nThe Helper Bees mission is to be the best in the world at finding & fulfilling the needs of older adults. .\r\nAt THB, we define our company culture through our Core Values:\r\nQuickly iterate through solutions - We move at a fast pace which requires quick iterations to find a path to a repeatable solution\r\nSeek 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.\r\nBee the teammate you want to work with - We work as a team, help each other and encourage each other\r\nAsk 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.\r\nTake 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.\r\nJob Summary\r\nAs the Manager of Data Engineering & Analytics , you will report to the Vice President of Business Intelligence and lead The Helper Bees' Data Engineering and Analytics team, responsible for both the technical execution and strategic direction of data across the company. Your leadership will be key in ensuring the team produces accurate, governed, and on-time data reports, invoices, and analyses that our internal leaders and external partners depend on.\r\nIn this role, you will manage and develop a high-performing team of Data Engineers and Data Analysts, guiding their career growth, performance, and skill development. You will own how the team takes in, prioritizes, and delivers work, and you will set clear, achievable goals that ladder to the company's data objectives.\r\nA central part of this role is helping the team move up the analytics maturity curve — from descriptive reporting toward predictive and prescriptive analytics. You will guide the team as we build machine-learning models to strengthen forecasting and develop algorithms such as recommendation engines and clustering/segmentation to understand members with similar diagnoses and needs profiles. You don't need to be a research scientist, but you must be technically literate enough in modern ML and data science to set direction, review approaches, partner with our data scientists, and grow analysts into this work.\r\nWhile setting the strategic vision for the data team, you will actively participate in executing the data strategy, rolling up your sleeves when needed — reviewing designs, unblocking pipelines, and making the hard tradeoff calls. As a people manager, you will foster an environment of mentorship, collaboration, and continuous learning, ensuring your team is empowered to fulfill the broader company vision, including our push to make AI a genuine multiplier for how the team works.\r\nYou will work closely with leaders from Product, Accounts, Operations, and the C-suite — as well as external clients and partners — to ensure alignment and successful delivery of the data strategy, acting as both a leader and an advocate for the data function across the organization. Because The Helper Bees operates in healthcare, you will do all of this in an environment that requires careful handling of protected health information (PHI).\r\nRequirements\r\nSupervisory Responsibilities\r\nData Engineer(s)\r\nData Analysts/Business Analysts\r\nDuties/Responsibilities:\r\nLead and manage the Data Engineering & Analytics team, providing mentorship, guidance, and support to ensure technical and professional development across a team of mixed tenure, including members still onboarding.\r\nDesign, implement, and maintain The Helper Bees' data products using Python, SQL, dbt, Airflow, BigQuery, and other modern technologies.\r\nOwn the team's intake and prioritization — how requests come in, get triaged, and get scheduled (managed in Jira) — and make that process legible to stakeholders so they can see where their requests stand and why.\r\nChampion a dbt-first, governed approach: move reporting off manual and bespoke SQL into tested, traceable, automated models, and hold the team to a high reliability bar (on-time delivery and zero manual edits to production data).\r\nLead the team's expansion into predictive and prescriptive analytics — guiding the development of ML models for forecasting, recommendation engines, and clustering/segmentation to profile members by diagnosis and need — and put the practices in place (validation, monitoring, governance) to deploy and maintain these models responsibly in a healthcare context.\r\nSet strategic goals for the team, ensuring alignment with the company's data objectives and promoting continuous improvement.\r\nCollaborate with department teams to design, build, test, and implement new features and enhancements that meet internal and external stakeholder needs.\r\nMonitor team performance and development, fostering an environment of growth through regular feedback, code reviews, and training opportunities.\r\nProduce quality, testable, and maintainable code, while setting high coding standards for the team.\r\nAssist in refining and improving development processes such as deployment, sprint planning, monitoring, incident response, escalation, and team workflows.\r\nDrive adoption of AI tooling (e.g., Cursor, Claude Code) as a multiplier for the team's engineering and analytics work — modeling personal use, and making AI experimentation and sharing a standing team practice.\r\nFacilitate problem-solving and innovation within the team, encouraging creative solutions to complex technical challenges.\r\nAct as a technical leader for the team, growing other engineers and analysts through mentorship and example, while ensuring high-quality, scalable, and optimized data systems.\r\nQuickly isolate and debug complex issues across data pipelines and models, helping the team troubleshoot problems effectively.\r\nCollaborate with stakeholders, product teams, operations, external clients, and partners to understand requirements, discuss tradeoffs, and deliver viable solutions.\r\nOwn the data team's contribution to the monthly close and scorecard — client and partner reports and invoices delivered accurately and on time — and surface exceptions proactively.\r\nDrive process improvements within the team, measuring the impact on delivery reliability, efficiency, and overall productivity.\r\nOther duties as assigned or necessary to support team and company success.\r\nPerformance Metrics\r\nData Quality: Ensure high standards of data accuracy, completeness, and consistency by setting targets for improving data quality and enforcing data governance standards.\r\nTimeliness of Reporting: Lead the team in reducing reporting turnaround times to support timely decision-making and operational efficiency.\r\nTechnical 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.\r\nCode Quality and Maintainability: Monitor and assess the quality of code produced by the team, aiming for high standards of readability, scalability, and maintainability.\r\nProblem 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.\r\nProcess Improvement: Measure the impact of efforts to refine and improve development processes, with a focus on enhancing the team's productivity and efficiency.\r\nStakeholder 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.\r\nScalability and Optimization: Oversee the scalability and optimization of data systems, setting goals to accommodate growing data volumes and user demands.\r\nRequired Skills/Abilities:\r\nProven experience in crafting, communicating, and promoting strategic direction for a data team.\r\nStrong leadership and team management skills, with experience in mentoring and developing a high-performing technical team, including people still early in their careers .\r\nAbility to lead change management initiatives and influence key stakeholders across functions.\r\nStrong data analysis and presentation skills, with experience in building and improving data warehouses and modern data pipelines.\r\nExtensive experience with SQL and data engineering, including ETL/ELT solutions, and hands-on expertise with modern tooling — BigQuery, dbt, Airflow, and Python required; experience with Tableau, Salesforce data, and Azure/Synapse a plus (PostgreSQL, PowerBI nice-to-have).\r\nExperience owning an intake and prioritization process (e.g., in Jira) and making a backlog transparent to stakeholders.\r\nWorking knowledge of machine learning and data science sufficient to set direction and review approaches — including forecasting/time-series methods, recommendation engines, and clustering/segmentation — and the Python ecosystem used to build them (e.g., pandas, scikit-learn). Hands-on ML experience and exposure to deploying/monitoring models in production strongly preferred.\r\nFamiliarity with, or willingness to drive, AI-assisted development and analytics tooling.\r\nExperience managing or transitioning work from external consultants/vendors a plus.\r\nExperience handling sensitive data responsibly; familiarity with HIPAA / PHI handling is strongly preferred given our healthcare context.\r\nExcellent communication and interpersonal skills, with a passion for guiding others and working directly with non-technical and external stakeholders.\r\nMust be 18 years of age or older.\r\nEducation and Experience\r\nBachelor's degree in Computer Science, Engineering, Mathematics, Information Systems, or a related field. Relevant work experience may be considered in lieu of a degree.\r\n5+ years of experience in data analytics, data engineering, or a related data discipline, with increasing scope and responsibility.\r\n2+ years of hands-on experience as a Data Engineer or in a highly technical data role (SQL, dbt, and pipeline orchestration such as Airflow).\r\n2+ years of direct people-leadership experience, including hiring, coaching, performance management, and driving team execution.\r\nDemonstrated experience leading complex data initiatives from strategy through delivery, including migrations or platform transitions.\r\nExperience delivering — or leading a team to deliver — predictive/prescriptive analytics or machine-learning models (e.g., forecasting, recommendation, or clustering/segmentation) preferred.\r\nPhysical Requirements\r\nAbility to remain at your designated workstation for the duration of the workday\r\nConstantly operates a computer and other office productivity machinery, such as a phone and Voice over Internet Protocol (VoIP).\r\nThe ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations.\r\nThe ability to observe details at close range (typically on a computer screen)\r\nThis 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.\r\nThe 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.\r\nThe 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.\r\nAs 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.\r\nThe 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.\r\nSalary Description\r\n$150,000 - $160,000","datePosted":"2026-08-12T00:45:10.551Z","dateModified":"2026-08-12T00:45:10.551Z","hiringOrganization":{"@type":"Organization","name":"GrabJobs","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Riverside","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4a5dd02a37fb36b4130d38dd"},"url":"https://jobsearcher.com/jobs/4a5dd02a37fb36b4130d38dd"}}