Pay
In line with similar jobs
$134K–$200K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
United States
Live, first seen by us 76 days agoZip 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 base Pay Range for this position is $134,000 - $200,000. This range reflects our US national compensation band (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 commission awards, in addition to a full range of medical, financial, and/or other benefits.Read the full posting
Employment type in the employer’s posting: Full-TimeFrom the employer’s posting
*Please note that visa sponsorship is not available for this position
Zip is building the next generation of AI-powered experiences for customers, employees, and partners.
You will develop secure, scalable, and reliable data platforms that support structured and unstructured data processing, real-time and batch workloads, AI-ready data products, and intelligent retrieval capabilities.
Build scalable batch and streaming data pipelines and architectures
Build AI-ready data products, semantic models, and retrieval capabilities
Design and optimize vector search and RAG capabilities
Implement streaming and event-driven solutions for near real-time insights
Mentor engineers and influence data platform architecture
Zip is building the next generation of AI-powered experiences for customers, employees, and partners. As a Senior Data Engineer on the Data & AI Platform team, you will design, build, and scale the data foundation that powers analytics, machine learning, Generative AI, and Agentic AI across the organization.
You will develop secure, scalable, and reliable data platforms that support structured and unstructured data processing, real-time and batch workloads, AI-ready data products, and intelligent retrieval capabilities. Working closely with Data Scientists, ML Engineers, Software Engineers, Product teams, and business stakeholders, you will help create a modern data ecosystem that accelerates innovation while maintaining the highest standards of quality, governance, and operational excellence.
Develop scalable data pipelines and architectures for structured, unstructured, batch, and real-time data workloads.
Build AI-ready data products, semantic models, and retrieval capabilities that enable intelligent agents and AI-powered applications.
Design and optimize vector search, hybrid search, and Retrieval-Augmented Generation (RAG) capabilities to improve AI effectiveness and user experiences.
Implement streaming and event-driven solutions that support near real-time business insights, operational intelligence, fraud detection, and risk monitoring.
Mentor engineers, influence architecture decisions, and help define the future direction of Zip’s data platform.
We are Zip, a global Buy Now, Pay Later company providing fair and seamless solutions that simplify how millions of people pay.
In the employer’s words · Read in context
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
In line with similar jobs
$134K–$200K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 76
Up longer than most. Similar jobs usually come down between day 5 and day 54.
From 10,736 similar postings that came down. Coming down is not always a hire.
8 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Deep expertise with modern cloud data platforms such as Snowflake, Databricks, Microsoft Fabric, BigQuery, Redshift, or similar technologies. - Advanced SQL and Python skills with strong experience in data modeling, ELT/ETL development, dbt, and orchestration frameworks such as Airflow, Dagster, or equivalent. - Experience building scalable streaming and event-driven architectures using technologies such as Kafka, Azure Event Hubs, Spark, or similar platforms.
- Experience with modern lakehouse technologies and open table formats such as Apache Iceberg, Delta Lake, or similar technologies. - Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also acceptable). - Strong engineering mindset with experience in testing, CI/CD, infrastructure automation, and operational excellence.
- Advanced SQL and Python skills with strong experience in data modeling, ELT/ETL development, dbt, and orchestration frameworks such as Airflow, Dagster, or equivalent. - Experience building scalable streaming and event-driven architectures using technologies such as Kafka, Azure Event Hubs, Spark, or similar platforms. - Strong understanding of modern data architecture patterns, including dimensional modeling, semantic layers, data governance, metadata management, and platform observability.
- Experience building enterprise AI platforms, Agentic AI solutions, or LLM-powered applications. - Experience integrating enterprise LLM platforms such as Azure OpenAI, OpenAI, Anthropic, or Google Gemini. - Familiarity with vector databases like pinecone, weaviate etc. and AI search technologies, MLOps/LLMOps, and modern AI infrastructure.
- 8+ years of experience designing, building, and operating enterprise-scale data platforms. - Deep expertise with modern cloud data platforms such as Snowflake, Databricks, Microsoft Fabric, BigQuery, Redshift, or similar technologies. - Advanced SQL and Python skills with strong experience in data modeling, ELT/ETL development, dbt, and orchestration frameworks such as Airflow, Dagster, or equivalent.
- Experience supporting AI and machine learning workloads through AI-ready data models, vector search, metadata enrichment, Retrieval-Augmented Generation (RAG), and knowledge retrieval systems. - Experience with modern lakehouse technologies and open table formats such as Apache Iceberg, Delta Lake, or similar technologies. - Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also acceptable).
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
About us
We are Zip, a global Buy Now, Pay Later company providing fair and seamless solutions that simplify how millions of people pay. Our journey began in Australia, and we’ve grown significantly since coming to America.
We exist to create a world where people can live fearlessly today, knowing they’re in control of tomorrow. Focused on product innovation that puts people at the center, we put the financial well-being of our customers and merchant partners at the heart of everything that we do.
We’re proud to be a values-led business. They guide us in everything we do - how we work together and create game-changing experiences for our customers and fellow Zipsters.
Zip is building the next generation of AI-powered experiences for customers, employees, and partners. As a Senior Data Engineer on the Data & AI Platform team, you will design, build, and scale the data foundation that powers analytics, machine learning, Generative AI, and Agentic AI across the organization.
You will develop secure, scalable, and reliable data platforms that support structured and unstructured data processing, real-time and batch workloads, AI-ready data products, and intelligent retrieval capabilities. Working closely with Data Scientists, ML Engineers, Software Engineers, Product teams, and business stakeholders, you will help create a modern data ecosystem that accelerates innovation while maintaining the highest standards of quality, governance, and operational excellence.
This is a high-impact role with the opportunity to shape the future of Zip’s AI and data platform strategy.
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:
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 base Pay Range for this position is $134,000 - $200,000. This range reflects our US national compensation band (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 commission awards, in addition to a full range of medical, financial, and/or other benefits.
*Please note that visa sponsorship is not available for this position.
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-centered products.
Operating in two core markets - Australia and New Zealand (ANZ) and the US, Zip offers access to 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 our Zip Applicant and Candidate Privacy Notice and authorize Zip to process your data subject to those terms. Zip participates in the federal government’s E-Verify program. #LI-Remote
Before you apply, give Zip a try -> rebrand.ly/check-zip-out
Selected passages from the saved posting. Check the full description for conditions and exceptions.
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 base Pay Range for this position is $134,000 - $200,000. This range reflects our US national compensation band (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 commission awards, in addition to a full range of medical, financial, and/or other benefits.
United States
- Influence the future of Zip's Data & AI Platform by driving architecture, mentoring engineers, and establishing the foundations for enterprise-scale AI. - Remote-first opportunity for US-based employees with the option to work in-person out of our Manhattan office. About us
- Build AI-ready data products, semantic models, and retrieval capabilities that enable intelligent agents and AI-powered applications. - Design and optimize vector search, hybrid search, and Retrieval-Augmented Generation (RAG) capabilities to improve AI effectiveness and user experiences. - Implement streaming and event-driven solutions that support near real-time business insights, operational intelligence, fraud detection, and risk monitoring.
More relevant text appears in the full description.
Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or commission awards, in addition to a full range of medical, financial, and/or other benefits. *Please note that visa sponsorship is not available for this position. 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.