I
Instacart
Senior Data Engineer (Finance)
Skills
SQL QueriesData EngineeringPythonSnowflakedbtApache Airflow
2 months ago
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Important information
Contract type:
Permanent
Salary:
$183,000 – $232,000 / year
Location:
Remote, OR 97458, USA
Work mode:
Onsite
Published on:
26 August 2026
What they need
- 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
- 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- Strong knowledge of common data infra technologies (Python, Airflow, Spark, Iceberg, Delta Lake) in a production environment
- Experience building high quality and complex ETL/ELT pipelines including pipelines for accounting/billing purposes
- Experience working with a large codebase on a cross functional team
- Strong knowledge of cloud based warehouses like Snowflake, Redshift, BigQuery
- Adept at fluently communicating with many cross-functional stakeholders to drive requirements and design shared datasets
- Expert in data modeling with experience in modeling complex financial data with scalability and usability in mind
- 8+ years of working experience in a Data/Software Engineering role, with a focus on building data pipelines (specialized in financial data)
- An ability to balance a sense of urgency with shipping high quality and pragmatic solutions
- Experience with data immutability, auditability, slowly changing dimensions or similar concepts
- Expert with SQL and dbt (Data Build Tool)
- 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
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