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Software Engineer II - Data Engineering Platform

Open 23d posting dated last week

Summary

Build and maintain Marqeta's Snowflake-based data platform, including ETL pipelines, reporting APIs, and access controls, using Python, SQL, Terraform, and AWS.

Marqeta is the modern card issuing platform behind companies like Uber, Square, Instacart, and Klarna. Our Data Engineering Platform team owns the Snowflake infrastructure and services behind that business: the warehouse, the customer-facing reporting APIs, the ETL pipelines, and the access controls that let our customers, our regulators, and our own teams trust every transaction record.

As a Software Engineer II on the Data Engineering Platform team, you will help steward Marqeta's Snowflake data platform: the configuration-as-code, access model, schema-migration tooling, and compliance automation that every team at Marqeta touching Snowflake depends on. Around that core, you'll also contribute to the services we operate on top of the warehouse: a customer-facing financial reporting API, PCI-scoped ETL pipelines, cross-region replication and parity checks, per-customer program provisioning, and sensitive-data masking.

Our stack is Python and SQL on top of Snowflake and AWS. Everything is provisioned as code with Terraform, and data pipelines are orchestrated with Apache Airflow. Services run on AWS Lambda and API Gateway today, with active work to evaluate a migration to Kubernetes for some workloads. Everything ships through modern CI/CD in a regulated environment with strict data-handling and audit requirements.

This is a hands-on platform-engineering role with meaningful ownership from day one. You'll partner with senior engineers on production infrastructure, help shape decisions about how Marqeta operates Snowflake at scale, and have room to grow into technical leadership on the platform surfaces you own.

We work Flexible First. This role can be performed remotely anywhere within Ontario or British Columbia, Canada. We’d love for you to join us!

The Impact You'll Have

  • Author and maintain Terraform for Snowflake resources (databases, schemas, tables, roles, warehouses, storage and notification integrations, resource monitors, tags, and network policies) across a multi-account, multi-region Snowflake footprint
  • Extend our role-based access-control model, including short-lived credential provisioning and periodic access-review workflows the business relies on
  • Contribute to the Snowflake schema-migration platform and CI/CD pipelines used by every team at Marqeta writing to the shared warehouse
  • Work on data-retention automation that enforces policy-driven deletion, and on cost/lifecycle work that keeps Snowflake efficient at scale
  • Contribute to the services we build around the warehouse: a customer-facing financial reporting API (Python on AWS Lambda + API Gateway), Apache Airflow pipelines that move PCI-scoped transaction data into Snowflake, cross-region DDL parity checks, and a sensitive-data masking service
  • Author Terraform and Python for the surrounding AWS infrastructure (Lambda, IAM, networking, CloudFront/S3)

Who You Are

  • 2+ years of professional software engineering experience, or equivalent (we're open to strong candidates with less if the fundamentals are there)
  • Strong proficiency in Python and working SQL knowledge
  • Production experience in AWS or a comparable cloud, and comfort operating in a regulated environment
  • Familiarity with infrastructure-as-code (Terraform or comparable)
  • Track record of taking a project from ambiguous problem statement to shipped code with limited supervision
  • Strong written and verbal communication; you'll be reading and writing RFCs, PR descriptions, and runbooks regularly
  • Commitment to code quality, testing, and documentation

Nice to haves

  • Experience with Snowflake specifically, and with schema-migration tooling
  • Terraform applied to data-warehouse resources (roles, warehouses, integrations, network policies)
  • Exposure to RBAC modeling, IAM, or credential-management systems
  • Building or operating REST APIs in production on AWS Lambda + API Gateway, Kubernetes, or comparable
  • Container fundamentals (Docker) and comfort with container orchestration
  • Apache Airflow or another workflow orchestration tool
  • Exposure to AWS CodeBuild, CodePipeline, or comparable CI/CD systems
  • Prior work in a regulated environment (PCI, SOX, HIPAA, financial services, healthcare), including any exposure to access reviews or data-retention automation

Our (typical) process:

  1. Application submission
  2. Recruiter video call
  3. Coding interview & Engineering Leader Interview
  4. Virtual “Onsite” consisting of three 60 minute rounds
  5. Offer!

Compensation and Benefits

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.

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, reflected in CAD, is: 92,900 - 116,100

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 vacation time
  • Retirement savings program with company contribution
  • Equity in a publicly-traded company
  • Monthly stipend to support our remote work model
  • Annual “development dollars” to support our people growth and development
  • Family-forming benefits and up to 20 weeks of Parental Leave

What this application asks

greenhouse

First Name, Last Name, Email, Phone, Resume/CV, Cover Letter, Location

  • LinkedIn Profile
  • Website optional
  • Are you legally authorized to work in Canada? choose one
  • How did you hear about this job?
  • Were you referred by a MQ employee? choose one
  • Name of MQ Employee who referred you:
  • Are you now or have you been employed by Marqeta in the past? choose one
  • Current Company
  • Current Position/Title

See also

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