Senior Data Engineer II, Finance

instacart· 152 open roles

Remote RemoteFull-time2 weeks ago

Salary

CA$188,000 - CA$198,500

Experience

Mid

Job Type

Full-time

Posted

2 weeks ago

Apply Now

Get more other jobs in your inbox

Verified daily — no ghost listings.

About This RoleAI processing…

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.

Key Responsibilities

1
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.
2
You will be part of a small team with a large amount of ownership and autonomy, managing initiatives directly from design through execution.
3
You will have the freedom to suggest and drive organization-wide initiatives that shape the financial data vision and roadmap.
4
You will own critical data integration pipelines and models, ensuring uniform, reliable, timely, and accurate financial reporting.
5
You will learn how to build in an open collaborative environment serving millions of requests daily.
6
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.
7
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.

Requirements

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.
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.