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

  • Own the vision, strategy, and roadmap for Core DE and CoreX/Incentives DE to deliver high-quality batch and streaming pipelines, trusted datasets, and scalable data models.
  • Lead, coach, and develop a team of 7 data engineers, including hiring, setting clear goals, establishing accountability, and creating growth opportunities.
  • Define and enforce engineering excellence standards for data modeling, testing, data quality, documentation, observability, SLAs, and cost/performance optimization.
  • Partner with Data Science & Analytics, Machine Learning, Product, and Software Engineering to establish data contracts and deliver well-documented, versioned, and discoverable datasets.
  • Drive centralization of data engineering by creating and iterating on intake and engagement models, migrating pipelines from product teams when appropriate, and measuring impact via OKRs.
  • Ensure governance and reliability through incident response, root cause analysis, prevention plans, and adherence to privacy, security, and compliance standards.
  • Communicate status, risks, and tradeoffs clearly to stakeholders and leadership to foster alignment and predictable delivery.
  • Own operational responsibilities for production-grade pipelines and platform reliability, including monitoring, incident management, and cost/performance tradeoffs.

Requirements

  • 8+ years of experience in data engineering building and operating production-grade data pipelines and platforms.
  • 2+ years of direct people management experience for data engineering teams, including hiring, performance management, and career development.
  • Proficiency in SQL and at least one data engineering language such as Python or Scala.
  • Hands-on experience with distributed processing and streaming technologies (e.g., Spark, Kafka, or Flink).
  • Experience with modern cloud data warehouses and lakehouse architectures (e.g., BigQuery, Snowflake, Databricks, or Redshift).
  • Experience orchestrating pipelines with tools such as Airflow, Dagster, or similar.
  • Strong background in data modeling (dimensional and normalized), data quality frameworks, and automated testing.
  • Proven success partnering cross-functionally with Product, Data Science, and Software Engineering to deliver end-to-end data solutions against SLAs/OKRs.
  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
  • Preferred: experience in e-commerce/marketplace environments; domain experience with incentives/promotions/pricing/experimentation; experience with governance and lineage tooling (e.g., dbt, Great Expectations, Monte Carlo, DataHub, Amundsen); familiarity with ML feature engineering and feature stores; experience optimizing systems for cost, performance, and reliability at scale; experience leading distributed/remote teams; advanced degree a plus.

Benefits

  • Market-competitive compensation and benefits with base pay ranges that vary by US location (examples: CA/NY/CT/NJ $220,000–$232,000; WA $211,000–$222,500; OR/DE/ME/MA/MD/NH/RI/VT/DC/PA/VA/CO/TX/IL/HI $202,000–$213,000; all other states $183,000–$193,000).
  • Eligible for a new hire equity grant and annual refresh equity grants.
  • Flexible, remote-first (Flex First) work policy with option to work from San Francisco, CA.
  • Comprehensive benefits as detailed on Instacart’s benefits pages (health, retirement, and other employee offerings).

Interested in this position?

Apply directly on the company website

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