Senior Data & ML Engineer I

• Senior Data Engineer with strong experience in Azure, Snowflake, Databricks, dbt, and streaming technologies
• Versatile and adaptable, able to design both batch and real-time pipelines while collaborating cross-functionally in a "blameless" engineering culture
• Remote-first opportunity for US-based employees with the option to work in-person out of our Manhattan office 

Start your adventure with Zip

Join Zip’s Engineering function and put your name to solving fascinating challenges at scale in an agile, test-driven development environment. If you value thoughtful data modeling, pipeline performance, and delivering trusted data fast—you’ll be a great fit with the squads responsible for building our modern, Azure-native data platform that fuels analytics, AI, and product innovation.

We’re seeking a well-rounded Senior Data Engineer who is comfortable working across data ingestion, transformation, and delivery. You’ll work across both batch and streaming paradigms and have a strong hand in shaping our data models, scaling our pipelines, and improving observability and performance across the stack. We’d love it if you also brought experience with infrastructure or DevOps—but that’s a nice-to-have, not a must.

As we double down on scaling our data platform, you’ll help us build for performance, reliability, and long-term maintainability. If you're passionate about clean design and modern data architecture, we'd love to hear from you.

Interesting problems you’ll get to solve

• Architect and scale streaming pipelines with tools like Kafka/Event Hubs and Databricks Structured Streaming.
• Design and optimize batch processing workflows using dbt, Snowflake, and Azure Data Lake.
• Build robust ELT and CDC pipelines using Airbyte, and model them cleanly for downstream use.
• Implement observability and testing frameworks for data quality, lineage, and freshness.
• Implement feature pipelines in Spark for machine learning models, and microservices to host them for production use.
• Develop self-service patterns and tooling for analytics and ML teams to move faster.
• Help maintain and evolve our Delta Lake environment and push performance boundaries in Databricks.
• Collaborate with analytics, engineering, and product teams to ensure data is trusted and accessible.

What you’ll bring to the team

• 5+ years of experience in Data Engineering, Machine Learning Engineering or similar.
• Proven experience working with both batch and streaming data pipelines (e.g., dbt, Spark, Snowflake for batch; Kafka/Event Hubs, Delta Lake for streaming)
• Strong SQL and Python skills, and comfort working with large-scale datasets.
• Solid understanding of data modeling and architecture paradigms: Kimball/dimensional modeling, Data Vault, Medallion.
• Hands-on experience with Snowflake, Azure Blob Storage, Databricks, and dbt
• Experience working in Azure-native environments, ideally with exposure to tools like Event Hubs, ADLS, Azure DevOps, or Synapse.
• Exposure to MLOps and machine learning workflows: supporting ML teams, building feature pipelines, managing model inputs/outputs, monitoring model performance, or deploying models via Databricks ML, MLflow, or Azure ML.
• Experience writing and working in a microservices architecture and writing asynchronous python code.
• Understanding of ML-specific challenges such as feature drift, data versioning, or batch scoring at scale.
• Familiarity with NoSQL databases such as Azure CosmosDB.
• Infrastructure-as-code or DevOps tooling experience (Terraform, CI/CD, monitoring) - nice-to-have. Knowledge of Atlan or other data management tools. 
• Knowledge of Tableau, Power BI or other Analytics tools.
• Strong communication skills, with an ability to work collaboratively with cross-functional teams, both technical and on-technical.

What you’ll get in return

Zip is a place where you’ll get out what you put in. The newness of our sector means we need to move at pace and embrace change, and our promise to you when you join the team is that you’ll feel empowered and trusted to make big things happen quickly. 

We want you to feel welcome and as though you have the support to be yourself, and care for yourself at work. Because it’s important to us that you make the most of the opportunities you’ll get to grow your skills and your career, and be surrounded by smart, friendly people and leaders that have your back.

We think these are just some of the best things about being a Zipster. We will also offer you:

• Flexible working culture
• Incentive programs
• 20 days PTO every year
• Generous paid parental leave
• Leading family suppo