Data & ML Platform Engineer
Description For Data & ML Platform Engineer
Homebase, the leading everything app for hourly teams, is seeking a Data & ML Platform Engineer to join their mission of making small business teams unstoppable. With over 100,000 small businesses relying on their platform and tracking 1+ billion hours for 2.5+ million workers last year, Homebase is backed by prestigious venture investors including L Catterton Growth and Bain Capital Ventures.
As a Data & ML Platform Engineer, you'll be instrumental in designing and implementing data and ML platform components that enable data engineering, data science, and product teams to build powerful data-driven features. You'll work with cutting-edge technologies like Databricks, handling large-scale data ingestion and architecture transformation initiatives.
The role combines technical expertise in ML engineering with strategic thinking, requiring proficiency in Python, SQL, and various data technologies. You'll be responsible for building and optimizing model-serving pipelines, ensuring seamless deployment, and driving continuous improvement through automation.
Homebase offers a collaborative environment across their offices in San Francisco, Houston, Denver, and Toronto. They strongly value diversity and inclusion, encouraging applications from candidates who might not meet all qualifications but bring valuable perspectives. The company provides a unique opportunity to impact small businesses directly while working with modern data and ML technologies at scale.
Responsibilities For Data & ML Platform Engineer
- Design, develop, and optimize the ingestion of large volumes of structured and unstructured data from diverse sources
- Support data architecture transformation initiatives on Databricks
- Guide the design and implementation of platform components for ML models in production
- Provide expertise on industry best practices, tools, and technologies in ML engineering
- Drive continuous improvement of data and ML workflows through automation
- Take full ownership of projects from planning to execution
- Collaborate with cross-functional teams to translate business requirements into technical solutions
Requirements For Data & ML Platform Engineer
- 4+ years of software development experience, specializing in data and ML
- Expertise in SQL, Python, and Databricks
- Experience with Airflow, Kafka, Redshift
- Proficiency in data modeling and database design
- Experience with data architecture transformations in Databricks
- Proficient in building and deploying machine learning models including language models
- Proficient in building model-serving pipelines for batch, streaming, and real-time inference
- Experience in ML models operationalization and CI/CD pipelines
- Strong problem-solving skills with strategic mindset
- Effective communication and collaboration skills
