Maplebear

Senior Data Engineer II, Finance

Maplebear · Remote (Canada)
Remote (Canada) Remote $188K–$198K Posted 2026-08-12
Salary
$188K–$198K
Type
Full-time
Experience
8+ yr

We're transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

Overview

Our backend systems power the clients used by millions of customers every year to buy their groceries online. These systems must also support tight integration with the largest retailers in the US and Canada. Engineering at Instacart provides the opportunity to work on challenging scaling problems while also designing the features that will define our industry. You will learn how to build in an open collaborative environment serving millions of requests daily.

Finance data engineering is part of the Data Infrastructure team, working closely with accounting, billing & revenue teams to support the monthly/quarterly book close, retailer invoicing and internal/external financial reporting. The team plays a critical role in defining how financial data is modeled and standardized for uniform, reliable, timely and accurate reporting. This is a high impact, high visibility role owning critical data integration pipelines and models across all of Instacart's products.

The team is still small and many of our bigger initiatives are at an early stage. We expect you to work closely with stakeholders and shape these systems from design, technical decisions, project management to execution. Your input will be critical for driving the Finance Data Strategy and building the platform that Instacart's financial data infrastructure will be built upon.

About the Job

  • You will work closely with finance, accounting, billing, and revenue teams to understand their main pain points and translate them into self-serve, reliable, and scalable data solutions.
  • You are expected to mentor other team members and be a champion of engineering excellence across the organization.
  • You will be part of a small team with a large amount of ownership and autonomy, managing initiatives directly from design through execution.
  • You will have the freedom to suggest and drive organization-wide initiatives that shape the financial data vision and roadmap.
  • You will own critical data integration pipelines and models, ensuring uniform, reliable, timely, and accurate financial reporting.

About You

Minimum Qualifications

  • 8+ years of working experience in a Data/Software Engineering role, with a focus on building data pipelines (specialized in financial data).
  • Strong knowledge of cloud based warehouses like Snowflake, Redshift, BigQuery.
  • Strong knowledge of common data infra technologies (Python, Airflow, Spark, Iceberg, Delta Lake) in a production environment.
  • Expert in data modeling with experience in modeling complex financial data with scalability and usability in mind.
  • Expert with SQL and dbt (Data Build Tool).
  • Experience building high quality and complex ETL/ELT pipelines including pipelines for accounting/billing purposes.
  • Experience with data immutability, auditability, slowly changing dimensions or similar concepts.
  • Adept at fluently communicating with many cross-functional stakeholders to drive requirements and design shared datasets.
  • An ability to balance a sense of urgency with shipping high quality and pragmatic solutions.
  • Experience working with a large codebase on a cross functional team.

Preferred Qualifications

  • Bachelor's degree in Computer Science, computer engineering, electrical engineering or equivalent work experience.
  • Experience with Snowflake, dbt (Data Build Tool) and Airflow.
  • Experience with SOX controlled data systems.

#LI-Remote

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here . Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia.

Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here .

For Canadian based candidates, the base pay ranges for a successful candidate are listed below.

CAN
$188,000 — $198,500 CAD

SnowflakeBigQueryPythonAirflowSparkIceberg
$80K — 10th pctl $225K — 90th pctl
This role’s midpoint $193K vs. market median $130K for Finance roles
+50%
above median
Based on 4,000+ Finance roles with disclosed salary ranges tracked on NewJob.
Maplebear

Maplebear

E-commerce · Public · San Francisco, USA

Stage & Valuation
Public · $9.7B
Open roles on NewJob
Most hiring in
Engineering (32) · Data & ML (15) · Finance (11)
Maplebear, operating as Instacart, is a grocery technology company that connects retailers with consumers and couriers for on-demand delivery. Its platform also enables consumer-packaged-goods brands to reach shoppers at the point of purchase through advertising.
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