Marqeta is a Flex First company which allows you to choose your best working environment, whether that be from home or at a company office. To support Flex First, we calibrate pay to a competitive value according to working location. Compensation is aligned according to three tiers within the United States: National: A baseline tier that applies to most of the geographic territory of 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.
Senior Staff Software Engineer - Data Platform
Location
United States
Posted
5 days ago
Salary
$200.5K - $275K / year
Seniority
Lead
Job Description
Senior Staff Software Engineer - Data Platform
MQ Referrals Only
Role Description This is a software engineering role on a software engineering team. 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. 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! At Marqeta, participation in a rotational on-call pager duty is a required part of the software engineering role. 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. - 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. - 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. - You’ll work alongside other senior staff engineers across the broader data platform org. - Partner with security, compliance, and the consumer teams who depend on what we ship. What "hands-on" actually means here - Yes: writing production code on the platform's hardest problems, owning the design and build of new abstractions end-to-end, leading design reviews, setting the engineering bar through the work itself. - Sometimes: prototyping, deep diving on a tricky migration, pairing with engineers on tough problems. What the work looks like - Modernization: Building out the lakehouse — the patterns Marqeta will run on for years. - New abstractions, new tooling, the paved road internal teams want to use. - Live system work: Evolving and hardening the platform that's already in production. - Reliability, performance, developer experience — improved without disrupting the teams who depend on it. - Engineering excellence: Testing confidence, release velocity. On call, blameless postmortems. Qualifications - A career building data platforms, not just pipelines. - Production depth in modern lakehouse work: Iceberg or Delta in production. - 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. - A track record of evolving live infrastructure. - Ownership of major platform transitions. - Influence as a working skill. - A history of growing other engineers — including peers at your level. Requirements - Experience typically takes around a decade to accumulate. - You can name the abstractions you've designed, the teams that adopted them, and the problems they solved. - If most of your last several years has been writing transformations rather than building the system transformations run on, this isn't the right shape. - You don't need depth in all of it — you need real depth in the lakehouse and credible engagement with the rest. Benefits - 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. - Free therapy sessions, financial and professional coaching, and legal advice. - Monthly stipend to support our remote work model. - Annual “development dollars” to support our people growth and development. - Through Flex First, the freedom to live and work wherever you and your family thrive.
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