Senior Data Engineer (AWS / Databricks)

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.