Staff Software Engineer

Honor Technology

Honor Technology’s mission is to change the way society cares for older adults. As a leader in aging care innovation, Honor provides the technology, tools, and services that empower older adults to live life on their own terms. Honor’s growing portfolio includes its consumer care brand, Home Instead, Inc., the world’s leading provider of in-home care for older adults. With a global franchise network and more than 100,000 Care Pros, Home Instead delivers over 50 million hours of personalized care annually. Together, Honor and Home Instead are setting a new standard for aging in place, backed by powerful technology, compassionate care, and a commitment to aging on your own terms. Join us to create a new and better aging experience for our clients, their families, and our Care Professionals.  ABOUT US Our mission is simple—we’re changing the way we care for our parents so they can live safely at home as they age. But how we accomplish our mission is anything but simple. Every day, we’re solving complex problems that don’t come with a playbook. Sound exciting? If you’re someone who shares our core values—Own the Outcome, Solve with Empathy, and Act with Honor—let’s talk. Founded in 2014, Honor is one of the fastest-growing non-medical home care companies in the U.S. We combine innovative technology with the local, personal touch of our partner agencies to transform a $30B industry that touches millions of families. Our platform powers everything from caregiver operations and workforce management to business intelligence, forecasting, and machine learning. At Honor, we’re not building technology for technology’s sake. We’re building technology that helps people deliver better care. THE OPPORTUNITY We’re looking for a Staff Data Engineer to help shape the future of Honor’s data platform. This role is focused on building the foundational data platform that powers analytics, machine learning, operational decision-making, and emerging AI capabilities across Honor. As a senior technical leader, you will define architecture, drive platform strategy, and lead the implementation of scalable systems that make trusted data accessible across the organization. This is an opportunity to join at a pivotal point in our evolution. We are modernizing our data platform, investing in cloud-native AWS services, and building the governance and data access capabilities needed to support the next generation of AI-powered and agentic workflows. You'll tackle complex technical challenges, influence company-wide architecture decisions, and help define how data is consumed across the business. WHAT YOU'LL DO BUILD AND EVOLVE OUR AWS-NATIVE DATA PLATFORM * Lead the architecture and development of scalable, secure, and cost-efficient data platforms on AWS. * Architect and optimize our Data Warehouse to support growing analytical, operational, and AI-driven workloads. * Define and implement Infrastructure-as-Code standards using AWS CDK. OWN DATA ORCHESTRATION AND DATA ENGINEERING FOUNDATIONS * Design and operate scalable orchestration frameworks using Airflow and FiveTran. * Partner with the Data Analytics team to establish data modeling standards and transformation practices using dbt. * Build reusable, maintainable data pipelines and workflows that enable rapid development and reliable operation. ENABLE TRUSTED DATA ACCESS THROUGH GOVERNANCE AND AI READINESS * Establish governance, metadata, lineage, and access patterns that make data discoverable, trustworthy, and easy to use. * Help define how both employees and AI-powered systems safely access and leverage company data. * Build the foundations that enable self-service analytics and future agentic workflows across the organization. DRIVE RELIABILITY, OBSERVABILITY, AND OPERATIONAL EXCELLENCE * Establish monitoring, alerting, and observability standards using Datadog and modern platform engineering practices. * Build scalable data quality frameworks that ensure confidence in business-critical data. * Continuously improve platform reliability, performance, and cloud cost efficiency. LEAD THROUGH TECHNICAL INFLUENCE AND PARTNERSHIP * Partner closely with Data Science, Analytics, Product, and Engineering teams to solve complex business problems through data. * Provide technical leadership, architectural guidance, and mentorship across the data organization. * Influence long-term platform strategy and engineering best practices across multiple teams. WHAT WE'RE LOOKING FOR * 8–10+ years of experience building and operating large-scale data platforms, pipelines, and warehouses in cloud environments, with deep expertise in AWS. * Proven track record leading complex technical initiatives and influencing architecture across teams. * Strong software engineering fundamentals and experience building production-grade systems. * Deep expertise in modern data warehousing, ELT/ETL architectures, and data platform design. * Experience operating data platforms with a focus on reliability, observability, data quality, and cost optimization. * Proven ability to leverage modern AI-assisted and agentic development tools to architect, build, and operate production-grade systems. * Experience partnering with data scientists, analysts, product managers, and software engineers to deliver business impact. * Demonstrated ability to navigate ambiguity, drive alignment, and lead through influence rather than authority. * Passion for building platforms that empower others and scale organizational impact. PREFERRED QUALIFICATIONS * Strong hands-on experience with Python, Amazon Redshift, AWS-native ETL technologies (including ZeroETL and DMS), Airflow, dbt, Datadog, Fivetran, and AWS CDK. * Experience designing data governance, metadata, lineage, or self-service data platforms. * Experience supporting AI, machine learning, or agentic workflow initiatives. * Experience leading platform modernization efforts in high-growth environments. * Experience as a Staff Engineer, Principal Engineer, Technical Lead, or Engineering Manager. WHAT'S NEXT? Sound like a fit? Apply below! #LI-AN1 Our range reflects the hiring range for this position.  We use national average to determine pay as we are a remote first company.  Individual pay is based on a number of factors including qualifications, skills, experience, education, and training. Base pay is just a part of our total rewards program.  Honor offers generous equity packages that increase with position level and responsibilities, and a 401K with up to a 4% employer match. We provide medical, dental and vision coverage including zero cost plans for employees.  Short Term Disability, Long Term Disability and Life Insurance are fully employer paid with a voluntary additional Life Insurance option.  We offer a generous time off program, mental health benefits, wellness program, and discount program.   Hiring Salary Range $194,000—$220,000 USD At Honor, we put people first. Our leadership culture is guided by Leadership Principles that prioritize integrity, compassion, and excellence. We offer a unique opportunity to lead with purpose and make a meaningful impact no matter your role. Honor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, political affiliation or belief.

Honor Technology

Honor Technology’s mission is to change the way society cares for older adults. As a leader in aging care innovation, Honor provides the technology, tools, and services that empower older adults to live life on their own terms. Honor’s growing portfolio includes its consumer care brand, Home Instead, Inc., the world’s leading provider of in-home care for older adults. With a global franchise network and more than 100,000 Care Pros, Home Instead delivers over 50 million hours of personalized care annually. Together, Honor and Home Instead are setting a new standard for aging in place, backed by powerful technology, compassionate care, and a commitment to aging on your own terms. Join us to create a new and better aging experience for our clients, their families, and our Care Professionals.  We are looking for a seasoned Platform Engineer with experience in designing, implementing, and maintaining scalable distributed systems & infrastructure. The platform engineering team builds and manages the infrastructure & core services that powers Honor’s Care Platform. Our charter is focused on providing foundational building blocks to enable the entire engineering organization to deliver reliably and efficiently. We also own build and deployment pipelines of our services, maintenance of various environments and their supporting infrastructure and serve as consultants to build the right abstractions for patterns of problems. This is a highly technical, hands-on role that requires a wide and deep experience in managing applications and infrastructure across cloud services. It requires deep practical knowledge of cloud platforms, advanced software design patterns & architecture, operations and automation, and containerization technologies like Kubernetes. The ideal candidate is driven by providing business value, is comfortable working with systems at varying levels of maturity, and appreciates making nuanced tradeoffs. You will be joining a small team of highly-skilled, enthusiastic, and passionate engineers with an opportunity to create an outsized impact in contributing to the future evolution of Honor’s Care Platform.  What are we looking for in a candidate: * You thrive in a foundational role supporting diverse, cross-functional teams as your customers, possess exceptional problem solving and analytical skills.  * At least 6 years of professional experience in a platform engineering team within a product-centric company. * Design and implement foundational patterns and libraries for Python applications, across a range of technologies from API services to event processing * Utilize Infrastructure as Code (IaC) tools to ensure reproducible and scalable environment setups. * Design and implement infrastructure for applications hosted on AWS, supporting event-driven systems, containerized services on Kubernetes, and serverless functions. * Develop and maintain robust CI/CD pipelines using tools such as Jenkins, ArgoCD. * Have experience automating the lifecycle management of code from development through production, including code promotion and configuration management. * Instrument observability through tools such as CloudWatch and DataDog to monitor and optimize application performance across multiple environments. * Scale infrastructure to meet increasing demand while managing cost effectively * Have experience defining, instrumenting and measuring standards for quality, security, scalability, and availability with a focus on delivering business value. * Have passion for delivering turn-key developer experience for local development * Keen interest in developing talent through mentorship * Strong written and verbal communication, tailored to a variety of audiences * A strategic thinker with a product-first approach and customer obsession. Some, or all, of these are true: * You have experience working with an RPC architecture * You work at or have worked at a technology startup and familiar with the challenges of evolving platform maturity * You have first hand experience navigating multiple distributed architecture patterns #LI-AN1 Our range reflects the hiring range for this position.  We use national average to determine pay as we are a remote first company.  Individual pay is based on a number of factors including qualifications, skills, experience, education, and training. Base pay is just a part of our total rewards program.  Honor offers generous equity packages that increase with position level and responsibilities, and a 401K with up to a 4% employer match. We provide medical, dental and vision coverage including zero cost plans for employees.  Short Term Disability, Long Term Disability and Life Insurance are fully employer paid with a voluntary additional Life Insurance option.  We offer a generous time off program, mental health benefits, wellness program, and discount program.   Hiring Salary Range $194,000—$220,000 USD At Honor, we put people first. Our leadership culture is guided by Leadership Principles that prioritize integrity, compassion, and excellence. We offer a unique opportunity to lead with purpose and make a meaningful impact no matter your role. Honor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, political affiliation or belief.

Honor Technology

Honor Technology’s mission is to change the way society cares for older adults. As a leader in aging care innovation, Honor provides the technology, tools, and services that empower older adults to live life on their own terms. Honor’s growing portfolio includes its consumer care brand, Home Instead, Inc., the world’s leading provider of in-home care for older adults. With a global franchise network and more than 100,000 Care Pros, Home Instead delivers over 50 million hours of personalized care annually. Together, Honor and Home Instead are setting a new standard for aging in place, backed by powerful technology, compassionate care, and a commitment to aging on your own terms. Join us to create a new and better aging experience for our clients, their families, and our Care Professionals.  About the role:  We’re looking for Data Scientists to join our team. In this role, you will serve as a versatile generalist data scientist who can help guide our company's adoption of agentic AI development.  As we rapidly integrate new technologies into our platform, practical applied experience in the AI space is a baseline requirement for our team. Building on that foundation, we are looking for a candidate who brings expertise in either Agentic AI OR Optimization Algorithms. About the work: * Leverage data to solve a wide variety of meaningful, business problems using the appropriate level of technical complexity. * Partner closely with Engineering, PM, and Care Operations to collaboratively define strategy and execute against it. * Design and implement robust frameworks and metrics to measure whether data products are functioning as expected and driving business impact.  * Research operational/logistical problems and proactively identify potential solutions. * Lead the design, implementation, and evaluation of descriptive and predictive models. * Champion the use of LLM-driven workflows across the company. Partner with Engineering to design architectures and build production-ready systems that leverage agents in our core product features as well as in tools that drive developer productivity. About you:  * 7+ years of professional experience solving complex business problems, and shipping/maintaining Python in a production environment. * You possess a strong foundation in traditional predictive machine learning (e.g., classification, regression, tree-based models like XGBoost) and know when to use standard models versus LLMs. * Deep professional expertise in at least one of the following two areas: * Optimization: Formulating and solving complex logistical/allocation problems (e.g., linear/integer programming) in a business setting. * Agentic AI: Deep technical depth in building, orchestrating, and establishing best practices for agentic systems (e.g., utilizing LLMs for autonomous decision-making and tool-use). You have concrete experience building agentic workflows that drive business impact. * You set success metrics upfront and proactively investigate how your technical solutions influence overarching business goals.  * Excellent mathematical and statistical foundations, including a degree in a quantitative field (such as Computer Science, Mathematics, Statistics, Economics, Physics) or equivalent professional experience. * You are able to manage product ambiguity, seeking clarity when necessary, to ensure that we are solving the right problem and driving measurable outcomes. * You rapidly iterate and deliver technical solutions that maximize business impact. * Clear and persuasive communication skills, both written and verbal, with the ability to translate complex technical concepts for diverse, non-technical stakeholders. You are accountable end-to-end for the entire project lifecycle. You proactively anticipate and drive resolution for potential issues across dependencies. Bonus points if you have professional experience with:  * Experience designing experiments and applying causal inference methods to rigorously determine business impact. * Experience developing systems to optimize portfolio allocation in a two-sided marketplace (e.g., ideal matches of people needing and providing care, hiring needs, demand forecasting). * Familiarity with modern MLOps practices, cloud platforms (AWS), containerization (Docker), or CI/CD pipelines. * Experience working with sensitive data, including PII or PHI, within a strict, HIPAA-compliant environment. Our range reflects the hiring range for this position.  We use national average to determine pay as we are a remote first company.  Individual pay is based on a number of factors including qualifications, skills, experience, education, and training. Base pay is just a part of our total rewards program.  Honor offers generous equity packages that increase with position level and responsibilities, and a 401K with up to a 4% employer match. We provide medical, dental and vision coverage including zero cost plans for employees.  Short Term Disability, Long Term Disability and Life Insurance are fully employer paid with a voluntary additional Life Insurance option.  We offer a generous time off program, mental health benefits, wellness program, and discount program.   Hiring Salary Range $194,400—$216,000 USD At Honor, we put people first. Our leadership culture is guided by Leadership Principles that prioritize integrity, compassion, and excellence. We offer a unique opportunity to lead with purpose and make a meaningful impact no matter your role. Honor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, political affiliation or belief.