The median Analytics Engineer (dbt / SQL) salary in India is ₹17.7L in 2026, with a typical range from ₹17.1L to ₹17.8L. Pay has moved +12.0% year-on-year. Bengaluru currently leads city pay at ₹18.8L. This is base salary for permanent employees.
What does An Analytics Engineer (dbt / SQL) do?
An Analytics Engineer (dbt / SQL) is responsible for transforming raw data into trusted, business-ready datasets using dbt modelling layers and semantic logic.
Day-to-day responsibilities
Permanent salary benchmarks for Analytics Engineer (dbt / SQL) in India, from the low end to the top of the range, based on published market compensation data.
₹17.7L
national median per year
+12.0% year on year
High evidence · India annual benchmark · 2026 data · How we check our numbers
Seniority is the biggest single driver of Analytics Engineer (dbt / SQL) pay in India. Entry-level roles start at ₹10.4L, rising 260% to ₹37.4L at lead or principal level.
Junior
₹10.4L
₹10.4L-₹10.4L middle band
Mid-level
₹17.5L
₹17.5L-₹17.5L middle band
Senior
₹26.1L
₹26.1L-₹26.1L middle band
Principal/Lead
₹37.4L
₹37.4L-₹37.4L middle band
Certain technical skills push Analytics Engineer (dbt / SQL) salaries in India significantly above the ₹17.7L median. These are the most impactful skills to develop or highlight when negotiating.
dbt Core / Cloud
+21%
salary premium vs median
Advanced SQL
+16%
salary premium vs median
Snowflake
+14%
salary premium vs median
Data Vault modelling
+12%
salary premium vs median
How much does an Analytics Engineer (dbt / SQL) earn by city in India?
Analytics Engineer (dbt / SQL) salary varies meaningfully by location. Bengaluru pays the most at ₹18.8L (6% above the national benchmark), while Pune sits at ₹16.2L (8% below the national benchmark). Location is worth factoring into any offer negotiation.
After Income Tax & Cess · single, standard payroll deductions
Gross/year
₹17.1L
Take-home/year
₹15,75,544
Per month
₹1,31,295
Effective rate
7.7%
Gross/year
₹17.7L
Take-home/year
₹16,22,272
Per month
₹1,35,189
Effective rate
8.1%
Gross/year
₹17.8L
Take-home/year
₹16,33,360
Per month
₹1,36,113
Effective rate
8.2%
See the full band-by-band breakdown for Analytics Engineer (dbt / SQL)
Adjust for your actual salary, see each Income Tax (New Regime) and 4% health & education cess band, and get monthly and weekly figures.
Contract day rates available for this role
Median ₹11,405/day, see full breakdown, city rates, and take-home calculator
Market Demand & Outlook
Demand level
Medium
Based on hiring signals relative to similar roles in this market.
Top hiring locations
Career outlook
Strong upward salary momentum
Analytics Engineer (dbt / SQL) salaries are showing strong movement, with latest benchmark growth at +12.0%.
Compare this role
Compare adjacent roles, employer estimates, published agency guides, and an offer against the market before you make a decision.
Explore India salary intelligence
Market context for Analytics Engineer (dbt / SQL)s in India
Missed the 15 September Advance Tax Date? Interest Under 234B and 234C
Advance tax interest under 234C and 234B (now sections 425 and 424) runs at 1% a month. What missing 15 September costs, and why paying before 15 December matters.
Leave Encashment Tax in India 2026: What Is Tax-Free on Resignation
Leave encashment tax in India: taxable during service, exempt on resignation up to the least of four limits and ₹25 lakh, in both regimes. Worked example and Form 16 checks.
India ESOP & RSU Tax 2026: Exercise vs Sale Explained
The same ₹5,00,000 ESOP gain nets ₹6,59,000 if sold after 30 months vs ₹5,86,040 at 12 months, a ₹72,960 gap from waiting. How both tax legs work.
Analytics Engineer (dbt / SQL)s in India earn a median salary of ₹17.7L in 2026, with a typical range from ₹17.1L at the 25th percentile to ₹17.8L at the 75th percentile. This benchmark reflects published market compensation data for annual pay across the India market.
Bengaluru currently leads city pay at ₹18.8L, which is 6% above the national benchmark. City coverage for this role includes Hyderabad, Mumbai, Pune, Delhi NCR, Bengaluru, helping you compare local pay differences without needing separate city-role pages.
At experience level, entry roles start around ₹10.4L, senior roles sit near ₹26.1L, and lead-level roles reach about ₹37.4L. Demand is currently moderate for this role based on recent coverage and salary momentum signals.
The median Analytics Engineer (dbt / SQL) salary in India is ₹17.7L in 2026. The typical range runs from ₹17.1L at the 25th percentile to ₹17.8L at the 75th percentile, based on published market compensation data.
Analytics Engineer (dbt / SQL) salaries have moved +12.0% year-on-year in India.
Analytics Engineer (dbt / SQL) salaries vary across India. Bengaluru leads at ₹18.8L (+6% vs the national benchmark), while Pune sits at ₹16.2L. Use the city breakdown above to compare all locations.
An Analytics Engineer (dbt / SQL) earning the median ₹17.7L gross in India will take home a net amount after income tax and other deductions. Use the PayMetric Labs take-home calculator on this page for an exact breakdown by tax band.
Principal/Lead-level Analytics Engineer (dbt / SQL)s in India earn the most, with a median of ₹37.4L, compared to ₹10.4L at entry level. Seniority is the strongest single driver of pay in this role.
This benchmark is derived from verified market compensation data and is rated High Confidence. High Confidence means the benchmark is corroborated across independent sources and is citation-ready. Moderate Confidence is directional context while coverage is still building. Limited Market Data means early signals only.
An indicative year-over-year signal of +12.0% is available from the latest market research for this role. This figure is directional market research rather than a matched prior-year observation in our own dataset.
Candidates should compare offers against the ₹17.1L-₹17.8L middle-market band, while employers should treat ₹17.7L as the current market midpoint for this role.
The same role has published benchmarks in these markets. Open each local page for its salary range, tax context, and city detail.