Senior Data Engineer owning finance data pipelines and models for Instacart, a grocery delivery platform. Supporting accounting, billing, revenue, and financial reporting at scale.
Responsibilities
Partner with finance, accounting, billing, and revenue teams to translate pain points into self-serve, reliable, scalable data solutions
Mentor team members and champion engineering excellence across the organization
Manage initiatives from design through execution with substantial ownership and autonomy
Suggest and drive organization-wide initiatives shaping the financial data vision and roadmap
Own critical data integration pipelines and models for uniform, reliable, timely, and accurate financial reporting
Shape finance data systems through design, technical decisions, project management, and execution
Support monthly and quarterly book close, retailer invoicing, and internal and external financial reporting
Requirements
8+ years of working experience in a Data/Software Engineering role focused on building data pipelines specialized in financial data
Strong knowledge of cloud-based data warehouses such as Snowflake, Redshift, and BigQuery
Strong production knowledge of Python, Airflow, Spark, Iceberg, and Delta Lake
Expert data modeling experience, including complex financial data with scalability and usability
Expert SQL and dbt (Data Build Tool) skills
Experience building high-quality, complex ETL/ELT pipelines, including accounting and billing pipelines
Experience with data immutability, auditability, slowly changing dimensions, or similar concepts
Ability to communicate fluently with cross-functional stakeholders to drive requirements and design shared datasets
Ability to balance urgency with high-quality, pragmatic solutions
Experience working with a large codebase on a cross-functional team
Experience with SOX-controlled data systems preferred
Bachelor's degree in Computer Science, computer engineering, electrical engineering, or equivalent work experience preferred
Benefits
Flexible choice of work location, including home, office, or coffee shop
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