Senior Data Engineer (AWS/Databricks)

Job description

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 significant technical ownership of our customer-facing, embedded data analytics products.

You will be instrumental in designing and implementing complex data products , making critical architectural decisions and clearly articulating 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, scalable ETL/ELT data pipelines using Python , PySpark , and Databricks on 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: Create CI/CD controlled data engineering deployments using Databricks Asset Bundles and leverage Databricks serverless compute with 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+ years of 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 degree in Computer Science, Engineering, or a related field.
Mandatory, deep expertise in Python and SQL with experience in designing, developing, or maintaining production-grade data platform solutions on Databricks AWS .
Proven expertise in Databricks and hands-on experience with Apache Spark .
Demonstrated ability to take technical ownership of data projects and features, from conception to delivery.
Strong background in data architecture and design , with experience in building complex data products and making critical design decisions .
Hands-on experience in AWS Cloud Services with solid understanding of networking rules, firewalls, DNS, IPv4, and VPCs in AWS.
Knowledge of data governance and compliance standards and cyber security fundamentals with working knowledge of enterprise data security controls.
Experience with machine learning frameworks and tools .
Ability to tackle design and functionality problems independently with little to no oversight.
Bonus Points For
Experience with DSPy and MLFlow .
Databricks Generative AI Engineer certification.
Hands-on experience with Terraform .
AWS Certified Cloud Practitioner or 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.

Required Skill Profession

Computer Occupations