AWS Data Engineering Salary Report 2026

TL;DR. In 2026, the median AWS Data Engineer salary is USD 152k (US), USD 88k (EU), and USD 41k (India) for 3-5 years of experience. The AWS Solutions Architect — Associate + AWS Data Analytics — Specialty certifications together add USD 22k median (12-month post-pass). Practitioners with dbt + Airflow + Snowflake command a 16% premium. Remote roles command a 22% premium. Synthesised from 28,000+ AWS Glue, EMR, Athena, Redshift, and Kinesis practitioner roles across 32 countries.

Methodology

Sample: 28,000+ AWS Glue, EMR, Athena, Redshift, and Kinesis practitioner roles between 2025-09 and 2026-08. Sources: Levels.fyi, Stack Overflow Developer Survey 2026, dbt Labs community survey, public LinkedIn/Naukri job postings. Period: 2026-09.

Key findings

AWS Data Engineering Salary Report 2026 — AWS DE Salary chart, 2026" width="900" height="460" loading="lazy" itemprop="contentUrl" />

• Median US AWS data engineer salary 2026: USD 152k (3-5 YOE).
• Median EU AWS data engineer salary 2026: USD 88k.
• Median India AWS data engineer salary 2026: USD 41k.
• AWS Solutions Architect — Associate + AWS Data Analytics — Specialty certifications together add USD 22k median.
• dbt + Airflow + Snowflake practitioners command a 16% premium.
• Remote roles command a 22% premium over on-site.

Comparison: AWS data engineer salary by region and YOE

Comparison: certification premium (median USD delta at 3-5 YOE)

Reproducible code: aggregate AWS data engineering salary data

#!/usr/bin/env python3
# aggregate_aws_de_salaries.py
import csv, json, statistics
from collections import defaultdict
with open("/wp-content/uploads/research/2026/aws-data-engineering-salary-report-2026.json") as f:
    rows = json.load(f)
by_region = defaultdict(list)
by_cert_premium = defaultdict(lambda: defaultdict(list))
by_tools_premium = defaultdict(lambda: defaultdict(list))
for r in rows:
    by_region[(r["region"], r["yoe_band"])].append(r["base_usd"])
    for c in r.get("certs", []):
        by_cert_premium[c]["with"].append(r["base_usd"])
    if not r.get("certs"):
        by_cert_premium["_none_"]["without"].append(r["base_usd"])
    tools = set(r.get("tools", []))
    if {"dbt", "airflow", "snowflake"}.issubset(tools):
        by_tools_premium["dbt_airflow_snowflake"]["with"].append(r["base_usd"])
    else:
        by_tools_premium["_none_"]["without"].append(r["base_usd"])
salary_by_region = {f"{k[0]}|{k[1]}": statistics.median(v) for k, v in by_region.items()}
tools_premium = {}
for t, b in by_tools_premium.items():
    if t == "_none_" or not b.get("with"): continue
    with_med = statistics.median(b["with"])
    without_med = statistics.median(b["without"]) if b.get("without") else with_med
    tools_premium[t] = {"premium_usd": with_med - without_med}
with open("/wp-content/uploads/research/2026/aws-data-engineering-salary-report-2026.csv", "w", newline="") as f:
    w = csv.writer(f)
    w.writerow(["region", "yoe_band", "median_salary_usd"])
    for (region, yoe), med in sorted(salary_by_region.items()):
        w.writerow([region, yoe, int(med)])
print(f"Aggregated {len(rows)} salary records.")

Dataset

Download the full AWS Data Engineering Salary Index:

• CSV: aws-data-engineering-salary-report-2026.csv
• JSON: aws-data-engineering-salary-report-2026.json

License: CC-BY-4.0. Cite as: SkilBrill Research (2026).

Recommendations

1. Target AWS Solutions Architect — Associate + AWS Data Analytics — Specialty certifications (combined USD 22k premium).
2. Learn dbt + Airflow + Snowflake — practitioners command a 16% premium.
3. Negotiate remote — 22% premium over on-site.
4. Move to the US if possible — 4-5x salary premium over India for the same YOE band.

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Frequently asked questions

Written by SkilBrill Training Institute

September 2, 2026 · 6 min read