Data Engineering Manager, Core Experience & Incentives

Instacart

Remote, United States
Base: $183,000 - $232,000 usd; bonus/equity: new h...
Remote
Data pipelines and platforms
Data modeling and quality
Distributed processing and streaming
Instacart is seeking a Data Engineering Manager to lead and scale its Core Data Engineering and CoreX/Incentives Data Engineering teams. The role focuses on managing data engineering operations, establishing standards, and ensuring the delivery of high-quality data solutions across the organization

Job Summary

  • Lead and develop a team of 7 data engineers responsible for core data engineering and incentives data engineering.
  • Define and enforce engineering excellence standards for data modeling, testing, data quality, documentation, observability, SLAs, and cost/performance optimization.
  • Drive the centralization of data engineering by creating and iterating on intake and engagement models, migrating pipelines, and measuring impact through clear OKRs.

Matching Summary

Match Score: 85

Instacart is seeking a Data Engineering Manager to lead and scale its Core Data Engineering and CoreX/Incentives Data Engineering teams. The role focuses on managing data engineering operations, establishing standards, and ensuring the delivery of high-quality data solutions across the organization.

Salary

Base: $183,000 - $232,000 USD; Bonus/Equity: New hire equity grant and annual refresh grants; Benefits: Not specified

Skills & Requirements

Must-have

  • Data pipelines and platforms
  • Data modeling and quality
  • Distributed processing and streaming
  • Cloud data warehouses and lakehouses
  • Pipeline orchestration tools
  • Cross-functional partnership

Nice-to-have

  • E-commerce domain experience
  • Incentives and experimentation data
  • Centralized data engineering
  • Data governance tooling
  • Cost and performance optimization
  • Remote team leadership

Key Requirements

  • 8+ years data engineering experience
  • 2+ years direct management experience
  • Proficiency in SQL and Python/Scala
  • Experience with Spark, Kafka, or Flink
  • Experience with BigQuery, Snowflake, Databricks, or Redshift
  • Experience with Airflow, Dagster, or similar
  • Bachelor's degree or equivalent practical experience

Work Rights

Not specified

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