Senior Staff Software Engineer - Data Platform

United StatesRemote

Responsibilities

A track record of evolving live infrastructure. Improving reliability, performance, and DX on systems that real teams depend on, sequenced so the work doesn't disrupt them.
Build vs. buy, migration design, risk management, all the way through to delivery.

The team builds and operates the data platform: the infrastructure, abstractions, and SDKs that the rest of Marqeta's data and ML organization runs on.
At Marqeta, participation in a rotational on-call pager duty is a required part of the software engineering role.
Iceberg/Delta on S3, Spark/Glue processing, Kafka and CDC pipelines, the abstractions that let other teams land data, build pipelines, and publish datasets without inventing the patterns themselves.
Strong fluency in the surrounding stack: AWS data services (S3, Glue, EMR), Spark, Airflow, Kafka, IAM boundaries for multi-tenant data access.
Mastery of Python in a production data-platform context, with credible depth in Go or Java.
The ability to adopt the best tool for the job.
You write design docs and RFCs people actually read.
A history of growing other engineers — including peers at your level. The team gets stronger because you're on it.
Helpful, not required: payments or fintech context (PCI-DSS, SOX, SOC 2). CDC tooling
experience (Debezium, Kafka Connect). Data governance tooling (DataHub, Amundsen, Collibra). Public technical writing or open-source contributions to data infrastructure. Typical Process
– Solve for the Customer: With a deep understanding of our customers' business and empathy for their needs, we deliver products and services that drive their success.
– Make it Count: We drive forward with focus and agility. With a sense of urgency and purpose, we get the job done, and done right.

Virtual "Onsite" consisting of four 45-60 min video calls Offer! Compensation and Benefits
Compensation is aligned according to three tiers within the United States:
Premium: Slightly elevated from the National tier, and oriented toward a narrower set of higher cost-of-living areas, such as Los Angeles CA and Seattle WA
Premium Plus: A tier for the most expensive working areas, like the San Francisco Bay area and New York City.
When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position is:
Premium: 210,200 - 262,800
Premium Plus: 220,000 - 275,000
We also believe in recognizing the contributions of our people. That's why we award annual bonuses to eligible employees, rewarding both individual performance and the success of the entire company.
Along with monetary compensation, Marqeta offers
Multiple health insurance options
Flexible time off – take what you need
Retirement savings program with company contribution and after tax contributions
Equity in a publicly-traded company and an Employee Stock Purchase Program
Family-forming benefits, fertility support, and up to 20 weeks of Parental Leave
Monthly stipend to support our remote work model
Annual “development dollars” to support our people growth and development

This is a software engineering role on a software engineering team.
We are not writing pipelines–we are building the platform pipelines run on.
If you've spent your career building infrastructure that other engineers depend on; and you know the difference between “software engineering” and "data engineering", read on.
We work Flexible First . This role can be performed remotely anywhere within the United States or from our Oakland office. We’d love for you to join us!
Learn more about our Product and Engineering team .
The specifics of the rotation may vary by team, depending on team size and structure, and will be discussed further during the interview process. What you'd own
The lakehouse and the streaming ingestion that feeds it.
You’d help set the multi-year technical direction, design the golden paths, and ship the work — directly, with your hands on the code that matters. How the team works
You’d report to the Director of Data Engineering and partner with a peer Manager whose scope is people leadership and operational delivery.
You own technical direction, application architecture, and the engineering bar.