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242
Data Engineer jobs in United States
Data Engineer
PT.Japfa Comfeed Indonesia
Surabaya ꦱꦸꦫꦧꦪ
On-site
IDR 200,000,000 - 300,000,000
Today
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Lead Data Engineer
Devoteam I Google Cloud Partner
Daerah Khusus Ibukota Jakarta
On-site
IDR 835,701,000 - 1,169,982,000
Yesterday
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Data Engineer
Accord Innovations
Daerah Khusus Ibukota Jakarta
On-site
IDR 200,000,000 - 300,000,000
Yesterday
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Data Engineer
Pt Idstar Cipta Teknologi (Idstar)
Daerah Khusus Ibukota Jakarta
On-site
IDR 200,000,000 - 300,000,000
Yesterday
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Discover more opportunities than anywhere else. Find more jobs nowData Engineer
Pt Swapro International
Daerah Khusus Ibukota Jakarta
On-site
IDR 200,000,000 - 300,000,000
Yesterday
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Talend Data Engineer
Pgi Data
Daerah Khusus Ibukota Jakarta
On-site
IDR 167,140,000 - 250,711,000
Yesterday
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Data Engineer
Xquisite Ai
Daerah Khusus Ibukota Jakarta
On-site
IDR 668,560,000 - 1,002,842,000
Yesterday
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Connect with headhunters to apply for similar jobsData Engineer Middle
Techtiera Services Indonesia
Daerah Khusus Ibukota Jakarta
On-site
IDR 200,000,000 - 300,000,000
Yesterday
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Data Engineer
Ipay88 Indonesia
Daerah Khusus Ibukota Jakarta
On-site
IDR 668,560,000 - 1,002,842,000
Yesterday
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Data Engineer (Technology Consultant)
Ey
Jawa Barat
Hybrid
IDR 200,000,000 - 300,000,000
Yesterday
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Data Engineer
Pt Astra Graphia Information Technology (Agit)
Daerah Khusus Ibukota Jakarta
On-site
IDR 200,000,000 - 300,000,000
Yesterday
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Data Engineer
Pt. Gos Indoraya
Daerah Khusus Ibukota Jakarta
On-site
IDR 200,000,000 - 300,000,000
Yesterday
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Data Engineer
Mandiri Sekuritas
Daerah Khusus Ibukota Jakarta
On-site
IDR 501,420,000 - 835,702,000
Yesterday
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Junior Etl Developer/Data Engineer
Indocyber Global Teknologi, Pt
Daerah Khusus Ibukota Jakarta
On-site
IDR 200,000,000 - 300,000,000
Yesterday
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Data Engineer
Krom
Daerah Khusus Ibukota Jakarta
On-site
IDR 1,002,841,000 - 1,337,122,000
Yesterday
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Data Engineer
Multi Finance Industry
Daerah Khusus Ibukota Jakarta
On-site
IDR 1,169,981,000 - 1,671,403,000
Yesterday
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Senior Data Engineer
Artefact
Daerah Khusus Ibukota Jakarta
On-site
IDR 1,002,841,000 - 1,504,263,000
Yesterday
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Data Engineer
Radya Labs
Daerah Khusus Ibukota Jakarta
On-site
IDR 200,000,000 - 300,000,000
2 days ago
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Data Engineer
Fiberstar (Pt. Mega Akses Persada)
Daerah Khusus Ibukota Jakarta
On-site
IDR 15,000,000 - 25,000,000
2 days ago
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Data Engineer
Ey
Daerah Khusus Ibukota Jakarta
On-site
IDR 200,000,000 - 300,000,000
2 days ago
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Data Engineer
Pt Lentera Bangsa Benderang
Daerah Khusus Ibukota Jakarta
On-site
IDR 417,710,000 - 584,796,000
2 days ago
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Data Engineer
Pt Karisma Zona Kreatifku
Daerah Khusus Ibukota Jakarta
On-site
IDR 200,000,000 - 300,000,000
2 days ago
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Data Engineer
PT.Japfa Comfeed Indonesia
Surabaya ꦱꦸꦫꦧꦪ
On-site
IDR 200.000.000 - 300.000.000
Full time
Yesterday
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Job summary
A leading Indonesian company is seeking a Data Engineer to design and maintain ETL/ELT pipelines for data ingestion and transformation. The ideal candidate has a Bachelor’s degree in Information Technology and strong skills in SQL and Python. Experience with cloud data platforms and ETL tools is preferred. This position offers an opportunity to work collaboratively with cross-functional teams to ensure data accuracy and support business intelligence initiatives.
Qualifications
- Bachelor’s degree in Information Technology, Information Systems, or related.
- Experience in data engineering or related roles is a plus; Fresh grads welcome.
- Proven experience designing ETL/ELT data pipelines using relevant tools.
Responsibilities
- Design, develop, and maintain ETL/ELT pipelines for data.
- Collaborate with teams to define data requirements.
- Build and optimize data models for BI tools.
Skills
SQL
Python
Analytical Thinking
Collaboration & Teamwork
Problem-Solving Mindset
Education
Bachelor’s degree in Information Technology or related field
Tools
dbt
Informatica
Talend
Snowflake
Databricks
Google BigQuery
Amazon Redshift
Job description
Responsibilities
- Design, develop, and maintain ETL/ELT pipelines for data ingestion, transformation, and integration.
- Collaborate with business and analytics teams to define data requirements and translate them into technical solutions.
- Build and optimize data models to support BI tools, dashboards, and advanced analytics.
- Ensure data accuracy, consistency, and compliance with data governance policies.
- Automate data workflows and monitor pipeline performance for reliability and scalability.
- Work closely with data architects and functional teams to improve overall data ecosystem efficiency.
Requirements
- Bachelor’s degree in Information Technology, Information Systems, or a related field; Master’s degree is a plus.
- Experience in data engineering, data transformation, or data integration roles is a plus. Fresh Grad is welcome.
- Proven experience designing, developing, and maintaining ETL/ELT data pipelines for structured and semi-structured data using tools such as dbt, Informatica, Talend, or Apache Airflow.
- Hands-on experience working with cloud-based data platforms such as Snowflake, Databricks, Google BigQuery, Amazon Redshift, or Azure Synapse.
- Strong proficiency in SQL and practical experience with at least one programming language (e.g., Python, Scala, or Java) for automation and data manipulation.
- Demonstrated experience integrating and preparing data for Business Intelligence (BI) tools, such as Power BI, Qlik Sense, or Tableau, ensuring optimized data structures for visualization and analysis.
- Experience collaborating closely with business analysts, functional teams, and data consumers to translate business requirements into technical data solutions.
- Exposure to version control systems (Git) and CI/CD workflows, ideally within an Agile development environment.
Technical Skills
- SQL, Python, or Scala.
- TL/ELT tools (e.g., dbt, Informatica, Talend).
- Cloud data platforms (e.g., Snowflake, Databricks, BigQuery, Redshift).
- CI/CD and version control (e.g., Git, Jenkins)
Soft Skills
- Analytical Thinking Ability to interpret complex data processes, identify root causes of issues, and propose practical solutions.
- Business Acumen Understands business processes and can translate functional requirements into technical data solutions that add measurable value.
- Communication Skills Able to communicate clearly with both technical and non-technical stakeholders, including data architects, analysts, and business users.
- Collaboration & Teamwork Works effectively within cross-functional teams, fostering cooperation between IT, data, and business units.
- Problem-Solving Mindset Approaches challenges systematically, balancing technical precision with business needs.
- Attention to Detail Ensures data accuracy and consistency throughout transformation and integration processes.
- Continuous Learning Stays updated with emerging data technologies, engineering frameworks, and best practices.
* 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.