Senior Data & ML Engineer I

Zip Co; New York (NY); Remote; USD 150,000 - 165,000; Full time

Job summary

Zip Co is seeking a Senior Data & ML Engineer I to join their remote-first team. You will design data pipelines and improve data architecture, leveraging an Azure-native platform to solve complex data challenges while collaborating with cross-functional teams to drive product innovation.

Benefits

20 days PTO

Generous paid parental leave

100% employer covered insurance

Company-sponsored 401k match

Learning and wellness subscription stipend

Qualifications

• 5+ years of experience in Data Engineering or similar.
• Proven experience with batch and streaming data pipelines.
• Strong SQL and Python skills with large-scale datasets.

Responsibilities

• Architect and scale streaming pipelines.
• Design and optimize batch processing workflows.
• Build robust ELT and CDC pipelines for downstream use.

Skills

SQL

Python

Data modeling

Data architecture

Data ingestion

Data transformation

Streaming data pipelines

Tools

Snowflake

Azure

Databricks

dbt

Kafka/Event Hubs

Job description

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• 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.
• Demonstrated use of AI in the performance of your role.

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:

• Incentive programs
• 20 days PTO every year
• Generous paid parental leave
• Leading family support policies
• 100% employer covered insurance
• Beautiful Union Square office with a casual dress code
• Learning and wellness subscription stipend
• Company-sponsored 401k match

Zip is committed to a straightforward and transparent pay structure. The actual base salary will be determined by various individualized factors, including job-related knowledge, skills, experience, location, internal equity, as well as other objective business considerations.

The annual basePay Rangefor this position is $150,000-$165,000. This range reflects our US national compensation (USN). Additional premium percentages may apply based on our tiered premium strategy. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards, in addition to a full range of medical, financial, and/or other benefits. If hired, employees will be in an 'at-will position' and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

Be a part of a team that reflects the diversity of our customers

We pride ourselves on being a workplace that provides equal opportunities to people of all ages, cultural backgrounds, sexual orientations, gender identities, abilities, veteran status, and everything else that makes you unique.

Equally, we’re committed to ensuring our recruitment processes are accessible and inclusive. Please let us know If there are any adjustments that need to be made to ensure you have a fair and equitable experience.

And finally…get to know us

Zip Co Limited (ASX: ZIP) is a digital financial services company, offering innovative, people-centred products that bring customers and merchants together.

Operating in two core markets - Australia and New Zealand (ANZ) and the US, Zip offers point-of-sale credit and digital payment services, connecting millions of customers with its global network of tens of thousands of merchants.

We’re proud to be a values-led business and our values - Customer First, Own it, Stronger Together and Change the Game - guide us in everything we do.

I acknowledge by clicking "Submit Application", that the information provided is true and correct. I also understand that any willful dishonesty may render for refusal of this application or immediate termination of employment. By providing your information, you acknowledge that you have read ourZip Applicant and Candidate Privacy Noticeand authorize Zip to process your data subject to those terms

Before you apply, give Zip a try -> rebrand.ly/check-zip-out

Zip participates in the federal government’s E-Verify program

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology and Engineering

• Industries

  Financial Services and IT Services and IT Consulting

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