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Data Engineer Salary Indonesia: Rp20M-Rp150M+/mo

September 14, 2026
Data Engineer Salary Indonesia rate card by Second Talent

Quick Overview: In Indonesia’s booming digital market, data engineers typically charge between $30 and $95 per hour.

Junior data analysts or ETL developers are at the lower end, while senior data engineers with experience building large-scale data pipelines for tech unicorns or international companies can command rates of $95/hour or more.

For full-time roles, the average annual salary of a Data Engineer in Indonesia ranges from Rp 300,000,000 to Rp 1,200,000,000 ($19,000 to $76,000 USD).

Salaries are highest in Jakarta, the hub of the nation’s tech giants like GoTo and Traveloka.

Strong skills in Python, SQL, cloud data platforms (especially GCP and AWS), and big data frameworks like Spark are the biggest drivers of high compensation.

Overall, the immense data generated by Indonesia’s 200+ million internet users has made Data Engineering a critical and highly-paid role.

Indeed Indonesia puts the national average for a data engineer at Rp 8,891,938 per month as of August 2026, with the typical band running Rp 2,467,302 to Rp 32,045,755 across 43 reported salaries.

That is roughly $1,671 to $21,708 a year at 17,715 rupiah to the dollar, August 2026. The best-paying locations are Tangerang at Rp 16,744,726 and Denpasar at Rp 15,621,172.

The 43-salary base and the very wide band mean this is a rough guide rather than a benchmark.

Data Engineer Salary Ranges (2026)

Junior Data Engineer

Rp20M – Rp35M
Monthly Salary

Mid-Level Data Engineer

Rp35M – Rp65M
Monthly Salary

Senior Data Engineer

Rp65M – Rp100M
Monthly Salary

Lead/Principal Data Engineer

Rp100M – Rp150M+
Monthly Salary

Detailed Data Engineer Hourly Rates

Specialization / Experience Local Rate (USD/hour) Remote/International (USD/hour) Freelance Rate (USD/hour)
Junior (SQL/ETL) $25 – $40 $35 – $50 $40 – $55
Mid-Level (Python/Airflow) $40 – $60 $50 – $75 $55 – $80
Senior (GCP/BigQuery/Spark) $60 – $85 $75 – $110 $80 – $120
Expert (Data Architect) $80 – $110+ $110 – $160+ $120 – $180+

Data Engineer Salary by Key Tech Districts

Jakarta

Rp 40,000,000 – Rp 130,000,000
As the home of Indonesia’s tech unicorns (GoTo, Bukalapak, Traveloka), Jakarta has the highest concentration of high-paying data engineering jobs. Roles are focused on processing massive volumes of consumer data.

Bandung

Rp 30,000,000 – Rp 95,000,000
A hub for creative tech and R&D. Data engineers in Bandung often support SaaS companies, gaming studios, and data-centric startups, offering a strong talent pool from top local universities.

Surabaya

Rp 28,000,000 – Rp 85,000,000
A major center for commerce and logistics. The demand for data engineers is growing rapidly to help digitalize supply chains and build analytics platforms for the manufacturing and trade sectors.

Remote (Working for International Clients)

Rp 80,000,000 – Rp 180,000,000+/month
Data Engineers in Indonesia who work remotely for companies in the US, Europe and Australia typically earn in this monthly range, above local employer pay. Clients expect strong written English and a few hours of daily overlap with their time zone.

Key Market Insights for Data Engineers

  • Driven by Massive Tech Unicorns: Indonesia’s tech giants like GoTo are built on data. They require vast teams of data engineers to manage and analyze transaction, location, and user behavior data, making it a top-paying role in these companies.
  • The “Making Indonesia 4.0” Initiative: This national strategy to embrace the digital revolution is pushing all sectors, from manufacturing to healthcare, to become data-driven, creating broad and sustained demand for data engineering talent.
  • Cloud Data Warehouses are Booming: Companies are rapidly adopting cloud data platforms. Google Cloud Platform (GCP) and its BigQuery service are particularly popular among local tech giants, making GCP skills highly valuable.
  • A Massive and Rich Data Source: With Southeast Asia’s largest population of internet users, Indonesia is a source of enormous datasets. This makes it a strategic location for companies to build data teams to analyze consumer trends.
  • FinTech and E-commerce Fuel Demand: The explosive growth of digital payments and online shopping creates a critical need for data engineers to build real-time data pipelines for fraud detection, credit scoring, and personalized marketing.
  • The Foundation for a Growing AI Scene: As the country invests more in AI, the role of data engineers is becoming even more crucial. They build the clean, reliable data pipelines that are the lifeblood of any successful machine learning project.

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