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Data Engineering Manager

Data Engineering Manager

Data Engineering Managers at high-growth companies earn $131K–$184K. Median: $155K. Based on 83 public job postings (2025–2026).

💰 $131K–$184K salary range

Median: $155K  ·  Based on 83 public job postings  ·  Updated July 1, 2026


This leadership role is critical for architecting and maintaining the high-performance data infrastructure that underpins the training, deployment, and operationalization of machine learning models and AI products within high-growth companies. Compensation for this position typically ranges from $122K–$202K, with a median salary of $145K, derived from an analysis of 22 recent job postings. Professionals commanding top-tier salaries demonstrate expertise in building highly scalable distributed data processing systems (e.g., Apache Spark, Flink), possess deep proficiency in cloud-native data platforms (AWS, GCP, Azure), and have a proven track record in developing MLOps and data governance frameworks tailored for AI workloads. This position is pivotal in ensuring data quality, accessibility, and lineage across complex AI lifecycles.

📊 Salary breakdown

Data Engineering Manager salary by location

  • All locations: $155K median ($131K–$184K typical range)
  • Remote: $180K median, $160K–$199K range (+16% vs. national)
  • New York: $150K median, $100K–$175K range (-3% vs. national)
  • San Francisco: $239K median, $198K–$319K range (+54% vs. national)

Highest paying companies

Remote

  • Fluidstack: $193K median
  • Jerry: $143K median

Based on companies with 3+ active postings. Median of publicly advertised salary range.

What's typically included

  • Health insurance: 77% of postings
  • Equity (RSU/options): 65% of postings
  • Flexible PTO: 60% of postings
  • Parental leave: 35% of postings
  • Learning/education budget: 22% of postings
  • Visa sponsorship: 5% of postings

Typical experience required: 6–7 years.

Data salaries by seniority

What does a Data Engineering Manager do?

Data Engineering Managers are data professionals who build the pipelines, models, and analytics the business runs on. This benchmark reflects Manager-level base compensation at high-growth and AI-native companies.

Common questions

What is the average Data Engineering Manager salary at an AI startup?
The median pay is $155K, with a typical range of $131K–$184K, based on 83 public job postings collected in 2025–2026.

How does Data Engineering Manager pay compare in San Francisco vs. remote?
San Francisco roles pay a median of $245K, while fully-remote roles pay $180K.

Where does this salary data come from?
It is aggregated from public job postings on company career pages — no private placement or client data. We require a minimum of 15 postings per role.

Methodology

Figures are the midpoint of each posting's advertised USD salary range, aggregated from 83 public job postings (2025–2026). The range shown is the 25th–75th percentile; the median is the 50th percentile. Equity is separate and not included; where a posting's range reflects on-target earnings (OTE) for commission roles, that is included in the midpoint. Roles require at least 15 postings to be published. Last refreshed July 1, 2026.

Hiring Data Engineering Managers? RFS recruiters specialize in Data placements at AI-native and high-growth startups. Talk to an RFS recruiter →

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