Senior Data Engineer

Build and own scalable data pipelines, modern cloud data platforms, and trusted data products that power critical business decisions across Zip.

Apply strong SQL, Python, data modeling, and modern data engineering practices to solve complex problems at scale.

Influence data architecture, improve platform reliability, and help shape the future of AI-ready data capabilities.

5+ years of experience designing, building, and operating scalable data pipelines and enterprise data platforms in production environments.
Advanced SQL and strong Python skills, with experience developing maintainable, tested, production-quality code.
Hands-on experience with modern cloud data platforms such as Snowflake, Databricks, Microsoft Fabric, BigQuery, Redshift, or equivalent technologies.
Strong data modeling fundamentals, including dimensional modeling, fact and dimension tables, slowly changing dimensions, and reusable analytical data models.
Experience building ETL/ELT workflows using modern transformation frameworks such as dbt or equivalent technologies, along with orchestration tools such as Airflow, Dagster, or similar platforms.
Experience with streaming, change data capture (CDC), or event-driven architectures using Kafka, Azure Event Hubs, Spark Structured Streaming, or comparable technologies.
Strong understanding of modern data architecture patterns, including data warehouses, data lakes, lakehouses, and curated data products.
Experience implementing data quality, automated testing, monitoring, observability, metadata, lineage, and governance practices.
Hands-on experience with a major cloud provider, preferably Azure, although AWS and GCP experience are equally transferable.
Strong software engineering fundamentals, including Git, code reviews, CI/CD, infrastructure automation, and production troubleshooting.
Ability to independently make architecture decisions, evaluate technical tradeoffs, and improve platform scalability, performance, reliability, and cost efficiency.
Experience collaborating across Engineering, Analytics, Product, Risk, Finance, and Data Science to translate complex business requirements into scalable technical solutions.
Demonstrated ability to mentor engineers, establish reusable engineering standards, and contribute to the technical growth of a team.
Familiarity with AI-enabled engineering tools and an interest in how modern data platforms support machine learning, intelligent applications, and AI-powered workflows.
Clear alignment with Zip's core values: Customer First, Own It, Stronger Together, and Change the Game.

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 and incentive programs
Unlimited PTO, generous paid parental leave and leading family support policies
Company-sponsored 401k match
Learning and wellness subscription stipend
Union Square office with a casual dress code
Employer-sponsored insurance for you and your dependents, with several 100% Zip-covered choices available

The Pay Range for this position: $134,000 - $175,000 USD based on the industry benchmark for position, function, level and Zip's compensation strategies. However, actual base salary will depend on varying circumstances and individualized factors, such as job-related knowledge, skills, experience, and other objective business considerations. 
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.