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Data Engineer jobs in United States

Senior Data Engineer

PT INDONESIA AIRAWATA FINANCE

Jakarta Utara
On-site
IDR 200,000,000 - 300,000,000
Today
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Data Engineer

Kreasitech

Sleman
On-site
IDR 200,000,000 - 300,000,000
2 days ago
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Data Engineer

PT. Satyalaksana Sangkala Adikarim Perkasa

Daerah Istimewa Yogyakarta
On-site
IDR 200,000,000 - 300,000,000
2 days ago
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Data Engineer

Kompas Gramedia - KG Media

Jakarta Barat
On-site
IDR 200,000,000 - 300,000,000
2 days ago
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PySpark Data Engineer Entry Level

Accenture Southeast Asia

Kota Semarang
On-site
IDR 200,000,000 - 300,000,000
3 days ago
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Senior Data Engineer

Devoteam

Jakarta Selatan
On-site
IDR 200,000,000 - 300,000,000
6 days ago
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Data Scientist/Machine Learning Engineer (Reinforcement Learning)

Binance

Daerah Khusus Ibukota Jakarta
Remote
IDR 1,656,451,000 - 2,484,678,000
7 days ago
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Data Engineer (Data Modeling Techniques and Methodologies)

Accenture Southeast Asia

Kota Semarang
On-site
IDR 200,000,000 - 300,000,000
13 days ago
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Sr Data Engineer- Poland(ClickHouse)

DoiT International

Indonesia
Remote
IDR 1,340,225,000 - 1,723,148,000
9 days ago

Sr Data Engineer - Ukraine(ClickHouse)

DoiT International

Indonesia
Remote
IDR 1,655,355,000 - 2,151,962,000
9 days ago

Sr Data Engineer - Portugal(ClickHouse)

DoiT International

Indonesia
Remote
IDR 300,000,000 - 450,000,000
9 days ago

Senior Data Engineer

NucleusX B.V

Denpasar
On-site
IDR 200,000,000 - 300,000,000
10 days ago

Sr Data Engineer(ClickHouse)

DoiT International

Indonesia
Remote
IDR 1,327,580,000 - 1,991,371,000
11 days ago

Senior Data Engineer

PT. Kreasi Media Asia (Insignia)

Jakarta Utara
Hybrid
IDR 200,000,000 - 300,000,000
11 days ago

Data Engineer (Technology Consultant)

EY

Jakarta Utara
On-site
IDR 200,000,000 - 300,000,000
12 days ago

Senior Data Engineer

STOCKBIT.COM

Cipulir
On-site
IDR 200,000,000 - 300,000,000
14 days ago

Data Engineer Consultant (Junior & Senior) 1

EY

Daerah Khusus Ibukota Jakarta
On-site
IDR 165,700,000 - 248,551,000
Today
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Senior Data Engineer

Talent Insider

Jakarta Selatan
On-site
IDR 498,836,000 - 831,394,000
17 days ago

Data Engineer (Digital Finance)

Monroe Consulting Group

Daerah Khusus Ibukota Jakarta
On-site
IDR 500,333,000 - 833,890,000
18 days ago

Data Engineer Voedselindustrie

PHP Professionals

Jawa
Hybrid
IDR 200,000,000 - 300,000,000
18 days ago

Data Engineer

Nansen.ai

Indonesia
Remote
IDR 1,337,568,000 - 2,006,354,000
19 days ago

Data Engineer & Analytics

Kredivo Group

Daerah Khusus Ibukota Jakarta
On-site
IDR 401,270,000 - 601,907,000
19 days ago

Data Engineer (Onsite in Medan)

Topremit

Kota Medan ᯔᯩᯑᯉ᯲
On-site
IDR 200,000,000 - 300,000,000
28 days ago

Data Engineer

VIDA Digital Identity

Jakarta Selatan
On-site
IDR 200,000,000 - 300,000,000
29 days ago

Data Scientist/Algorithm Engineer (LLM) – AI Safety

Binance

Daerah Khusus Ibukota Jakarta
Remote
IDR 832,223,000 - 1,331,558,000
19 days ago
Senior Data Engineer
PT INDONESIA AIRAWATA FINANCE
Jakarta Utara
On-site
IDR 200.000.000 - 300.000.000
Full time
Yesterday
Be an early applicant

Job summary

A leading finance company in Jakarta Utara is seeking a skilled Data Engineer to design, implement, and optimize data warehouse systems. The role involves building dimensional models for efficient analytics and mentoring junior engineers. Candidates should have 5+ years in data engineering, strong SQL skills, and familiarity with ETL/ELT processes. This is a full-time position based in Indonesia.

Qualifications

  • 5+ years in data engineering with 2+ focused on data warehousing.
  • Strong command of SQL and performance tuning.
  • Proficient in ETL/ELT tools.

Responsibilities

  • Design and optimize data warehouse systems.
  • Lead ETL/ELT pipeline development and monitoring.
  • Guide junior engineers and foster technical excellence.

Skills

Data engineering
SQL
Kimball dimensional modeling
ETL/ELT development
Python programming
Cloud-based data platforms
Troubleshooting data challenges
Stakeholder partnership

Tools

Airflow
dbt
Spark
Job description
Overview

Design, implement, and optimize enterprise‑grade data warehouse systems with a focus on Kimball dimensional modeling to support analytical and operational requirements.

Build business‑friendly dimensional models (facts, dimensions, star schemas, snowflake schemas) to enable efficient reporting, self‑service analytics, and scalable growth.

Lead the development, monitoring, and optimization of ETL/ELT pipelines, ensuring high‑quality, accurate, and timely data ingestion.

Write, refine, and optimize SQL queries for performance and reliability across high‑volume datasets.

Partner with Data Analysts, Data Scientists, and Business stakeholders to translate business needs into robust data solutions while ensuring data consistency, security, and governance.

Establish and maintain best practices, documentation, and standards for data modeling, pipelines, and workflows.

Guide and mentor junior engineers, fostering a culture of technical excellence and continuous learning within the team.

Qualifications
  • 5+ years of hands‑on experience in data engineering, with at least 2+ years focusing on data warehousing and dimensional modeling. Previous leadership or mentoring experience is preferred.
  • Strong command of SQL (complex queries, performance tuning).
  • Proficiency in Kimball dimensional modeling methodologies.
  • Experience with ETL/ELT development (e.g., Airflow, dbt, Spark, or similar).
  • Programming experience in Python or other languages for data workflows.
  • Familiarity with cloud‑based data platforms (e.g., BigQuery, Snowflake, Redshift) and distributed systems.
  • Ability to troubleshoot complex data challenges, design scalable solutions, and ensure performance efficiency.
  • Strong ability to partner with technical and non‑technical stakeholders, explain data concepts clearly, and align solutions with business goals.
Requirements

Job Type: Full‑time

Alibaba Cloud: 3 years (Required)

Maxcompute: 3 years (Required)

Location

Depok, West Java, ID

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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