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Instacart

Instacart invites the world to share love through food. This is how homemade is made.

Data Engineering Manager, Core Experience & Incentives

Engineering ManagerEngineering ManagerFull TimeRemoteLeadTeam 1,001-5,000Since 2012H1B SponsorCompany SiteLinkedIn

Location

California + 18 moreAll locations: California | Colorado | Connecticut | District Of Columbia | Hawaii | Illinois | Maine | New Hampshire | New Jersey | New York | Oregon | Maryland | Massachusetts | Pennsylvania | Rhode Island | Texas | Vermont | Virginia | Washington

Posted

64 days ago

Salary

$183K - $232K / year

Seniority

Lead

Job Description

Data Engineering Manager, Core Experience & Incentives

Instacart

• 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 for mission-critical product and analytics use cases. • Lead, coach, and develop a team of 7 data engineers, creating growth opportunities, establishing clear goals and accountability, and hiring to scale as needs evolve. • Define and enforce engineering excellence standards for data modeling, testing, data quality, documentation, observability, SLAs, and cost/performance optimization. • Partner with DSA, ML, Product, and SWE to establish clear data contracts and deliver well-documented, versioned, and discoverable datasets that power experimentation, incentives, and marketplace operations. • Drive the centralization of data engineering by creating and iterating on intake and engagement models, migrating pipelines from product teams where appropriate, and measuring impact through clear OKRs. • Ensure strong governance and reliability through incident response, root cause analysis, prevention plans, and adherence to privacy, security, and compliance standards. • Communicate status, risks, and tradeoffs with clarity and candor to stakeholders and leadership, fostering alignment and predictable delivery.

Job Requirements

  • 8+ years of experience in data engineering building and operating production-grade data pipelines and platforms.
  • 2+ years of experience directly managing data engineering teams with full people leadership responsibilities (hiring, performance, and career development).
  • Proficiency in SQL and at least one programming language used for data engineering (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 clear SLAs/OKRs.
  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.

Benefits

  • Health insurance
  • 401(k) matching
  • Flexible work arrangements
  • Professional development opportunities
  • New hire equity grants
  • Annual refresh grants

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Germany