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JobsInstacart

Senior Data Engineer, Finance

Instacart

Senior Data Engineer, Finance

Instacart

Canada - Remote (ON, AB, BC, or NS Only)

·

Remote

·

Full-time

·

1mo ago

Compensation

CA$161,000 - CA$170,000

Benefits & Perks

Health, dental, and vision coverage

Flexible PTO policy

Parental leave program

Learning and development stipend

Required Skills

Python

TensorFlow

Apache Spark

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

At Instacart, our mission is to create a world where everyone has access to the food they love and more time to enjoy it together. Millions of customers every year use Instacart to buy their groceries online, and the Data Engineering team is building the critical data pipelines that underpin all of the myriad of ways that data is used across Instacart to support our customers and partners.

The Finance data engineering 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. This role is an exciting opportunity to join a key team shaping the post-IPO financial data vision and roadmap for the company.

Finance data engineering is part of the Infrastructure Engineering pillar, working closely with accounting, billing & revenue teams to support the monthly/quarterly book close, retailer invoicing and internal/external financial reporting. Our team collaborates closely with product teams to capture critical data needed for financial use cases.

About the Job

  • You will be part of a team with a large amount of ownership and autonomy.

  • Large scope for company-level impact working on financial data.

  • You will work closely with engineers and both internal and external stakeholders, owning a large part of the process from problem understanding to shipping the solution.

  • You will ship high quality, scalable and robust solutions with a sense of urgency.

  • You will have the freedom to suggest and drive organization-wide initiatives.

About You

Minimum Qualifications

  • 6+ years of working experience in a Data/Software Engineering role, with a focus on building data pipelines.

  • Expert with SQL and knowledge of Python.

  • Experience building high quality ETL/ELT pipelines.

  • Past experience with data immutability, auditability, slowly changing dimensions or similar concepts.

  • Experience building data pipelines for accounting/billing purposes.

  • Experience with cloud-based data technologies such as Snowflake, Databricks, Trino/Presto, or similar.

  • Adept at fluently communicating with many cross-functional stakeholders to drive requirements and design shared datasets.

  • A strong sense of ownership, and 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 data quality monitoring/observability, either using custom frameworks or tools like Great Expectations, Monte Carlo etc

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**$161,000**—$170,000 CAD

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About Instacart

Instacart

Instacart

Public

Groceries delivered in as fast as 1 hour.

1,001-5,000

Employees

San Francisco that operates a grocery delivery

Headquarters

$39B

Valuation

Reviews

4.3

14 reviews

Work Life Balance

3.8

Compensation

4.2

Culture

2.5

Career

3.0

Management

2.3

65%

Recommend to a Friend

Pros

High compensation packages and competitive offers

Fully remote work flexibility

Good work-life balance

Cons

Executive departures and leadership instability

Major layoffs (7% of company)

Declining valuation (down 80% from peak)

Salary Ranges

2,113 data points

Mid/L4

Senior/L5

Staff/L6

Mid/L4 · Data Scientist L4

0 reports

$248,100

total / year

Base

-

Stock

-

Bonus

-

$210,885

$285,315

Interview Experience

5 interviews

Difficulty

3.6

/ 5

Duration

21-35 weeks

Offer Rate

60%

Experience

Positive 40%

Neutral 60%

Negative 0%

Interview Process

1

Application Review

2

Recruiter/Phone Screen

3

Technical/Coding Interview

4

System Design Interview

5

Behavioral Interview

6

Onsite/Final Round

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge