Senior Data Engineer II, Finance

5 hours, 46 minutes ago
Full-time
Lead
Data Science and Analytics
instacart.careers

instacart.careers

Instacart is a leading grocery technology company in North America that works with grocers and retailers to transform how people shop. They partner with over 1,000 national, regional, and local retail banners to facilitate online shopping, delivery, an...

Internet Software & Services
1K-5K

Description

  • Work closely with finance, accounting, billing, and revenue teams to translate pain points into self-serve data solutions.
  • Own critical data integration pipelines and models that support accurate and timely financial reporting.
  • Manage initiatives from design through execution with a high degree of autonomy.
  • Shape the financial data vision, roadmap, and organization-wide initiatives.
  • Mentor other team members and promote engineering excellence across the organization.
  • Define and standardize how financial data is modeled for reliable reporting.
  • Collaborate with stakeholders to design shared datasets and drive technical decisions.
  • Build and maintain scalable ETL and ELT pipelines for accounting and billing use cases.
  • Support monthly and quarterly book close processes, retailer invoicing, and internal/external financial reporting.

Requirements

  • 8+ years of experience in data or software engineering, with a focus on building financial data pipelines.
  • Strong knowledge of cloud data warehouses such as Snowflake, Redshift, or BigQuery.
  • Strong knowledge of data infrastructure technologies including Python, Airflow, Spark, Iceberg, and Delta Lake in production environments.
  • Expert-level data modeling experience with complex financial data.
  • Expert with SQL and dbt (Data Build Tool).
  • Experience building high-quality, complex ETL/ELT pipelines, including accounting and billing pipelines.
  • Experience with data immutability, auditability, slowly changing dimensions, or similar concepts.
  • Experience communicating with cross-functional stakeholders to define requirements and shared datasets.
  • Ability to balance urgency with shipping high-quality, pragmatic solutions.
  • Experience working in a large codebase on a cross-functional team.
  • Bachelor's degree in Computer Science, computer engineering, electrical engineering, or equivalent work experience (preferred).
  • Experience with Snowflake, dbt, and Airflow (preferred).
  • Experience with SOX-controlled data systems (preferred).

Benefits

  • Remote role with Flex First work flexibility.
  • Highly market-competitive compensation.
  • Base salary range of $220,000-$232,000 USD in CA, NY, CT, and NJ.
  • Base salary range of $211,000-$222,500 USD in WA.
  • Base salary range of $202,000-$213,000 USD in OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, and HI.
  • Base salary range of $183,000-$193,000 USD in all other states.
  • Eligible for a new hire equity grant.
  • Eligible for annual refresh equity grants.

Interested in this position?

Apply directly on the company website

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