Job Title

About Accolade The multifamily real estate industry is undergoing a massive transformation, and Accolade is at the forefront. We are building the industry's first AI-native Operations Centralization Platform, designed to streamline complex processes, unlock new efficiencies, and create better experiences for residents and operators alike. Our platform uses advanced AI to automate routine tasks, capture critical data, and intelligently manage communications. We're on a mission to help our clients achieve what we call "Full Potential Centralization," and we need passionate, experienced builders to help us lead the way.The Opportunity This is a pivotal role for an experienced data engineer who thrives on building transformative data products from the ground up. As a Senior Data Engineer, you will be a cornerstone of our data engineering team, taking significanttechnical ownershipof our customer-facing, embedded data analytics products. You will be instrumental indesigning and implementing complex data products , making criticalarchitectural decisionsand clearlyarticulating their impact on our data platform . We are looking for a hands-on technical leader who is passionate about building scalable, data-driven systems with deep expertise in AWS Databricks and mentoring other engineers to elevate the entire team. If you are ready to shape the future of PropTech with AI-powered data solutions in a world-class engineering environment, we want to hear from you.What You'll Do Build & Innovate:Dedicate your time to developing, testing, and maintaining high-quality, scalableETL/ELT data pipelinesusingPython ,PySpark , andDatabrickson AWS. You will lead the development of new data features and services across the full product lifecycle, from architectural design to deployment. Architect & Own:Take technical ownership of major components of our data platform architecture. You will lead design discussions, ensuring our data systems are secure, scalable, and maintainable. Your decisions will directly shape the future of our data capabilities. Drive Data Excellence & Mentor:Champion a culture of data excellence by implementing data quality checks, monitoring mechanisms, and robust testing principles. You will play a key role in mentoring junior data engineers through constructive code reviews, technical guidance, and collaborative problem-solving, fostering their growth and enhancing the team's capabilities. Implement Advanced Data Operations:CreateCI/CD controlled data engineering deploymentsusingDatabricks Asset Bundlesand leverageDatabricks serverless computewith cost optimization techniques to deliver performant data products. Collaborate & Deliver:Work within a fast-paced agile team, collaborating closely with Product Managers, Data Scientists, and fellow engineers to solve complex data challenges. You will help ensure the quality, integrity, and security of data throughout the data lifecycle, implementing best practices in data governance.What You'll Bring (Requirements) 4+ yearsof professional data engineering experience, with a proven track record of building and launching data products and platforms. Databricks Certified Data Engineer Professional(required). Bachelor's degreein Computer Science, Engineering, or a related field. Mandatory, deep expertise inPythonandSQLwith experience in designing, developing, or maintaining production-grade data platform solutions onDatabricks AWS . Proven expertise in Databricksand hands-on experience withApache Spark . Demonstrated ability to taketechnical ownershipof data projects and features, from conception to delivery. Strong background indata architecture and design , with experience in building complex data products and making criticaldesign decisions . Hands-on experience inAWS Cloud Serviceswith solid understanding of networking rules, firewalls, DNS, IPv4, and VPCs in AWS. Knowledge ofdata governance and compliance standardsand cyber security fundamentals with working knowledge of enterprise data security controls. Experience withmachine learning frameworks and tools . Ability to tackle design and functionality problems independently with little to no oversight.Bonus Points For Experience withDSPyandMLFlow . Databricks Generative AI Engineercertification. Hands-on experience withTerraform . AWS Certified Cloud Practitioneror higher.Why You'll Love Working at Accolade True Ownership & Impact:You won't be a cog in a machine. You will have the autonomy to make critical data architectural decisions and will directly influence the development of an innovative AI platform that is transforming an entire industry. Leadership & Mentorship:Join a team that values technical leadership. You will have the opportunity to work with and learn from a team building at the forefront of AI and vertical SaaS. Accelerated Career Growth:We are growing quickly. For ambitious individuals, this means unparalleled opportunities to expand your skills, take on greater technical leadership, and advance your career. Competitive Compensation & Benefits:We offer an attractive salary package and benefits to match your experience and qualifications.Our Interview Process Initial Chat (30 min):A conversation with our team to discuss your background and interest in the role. Technical Interview:An technical interview covering data and software engineering concepts Take Home Exercise:A practical data engineering challenge to test your problem-solving skills.