Senior Data Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified checked Jun 7, 2026

Salary

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401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source

Seniority

Senior From the posting source

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Senior Data Engineer George Town, Penang, Malaysia Company Description: Job Description: We are looking for a Senior Data Engineer to lead the design and delivery of scalable, high-performance data platforms that power analytics and business intelligence across the organization. This role combines hands-on engineering, architecture leadership, and team mentorship, requiring someone who can translate complex business needs into robust data solutions while driving best practices in modern data engineering. Responsibilities: Design and development of robust, scalable data pipelines and ETL/ELT solutions Architect and optimize data processing frameworks using Apache Spark and Delta Lake Develop and manage data solutions on the Databricks platform Collaborate with business, analytics teams to translate requirements into technical designs Ensure data quality, integrity, performance, and security across data platforms Implement and enforce data engineering best practices, standards, and governance Integrate data from multiple internal and external sources using modern integration tools Drive CI/CD implementation and DevOps practices for data pipelines Monitor, troubleshoot, and optimize data workflows and system performance Mentor junior engineers and provide technical guidance Participate in design reviews and contribute to architectural decisions Qualifications: Strong proficiency in Apache Spark, Delta Lake, and distributed data processing Advanced SQL and Python programming skills Extensive hands on experience with the Databricks platform Solid experience in data pipeline design, ETL/ELT frameworks, and data orchestration Experience with traditional databases such as Oracle and SQL Server Proficiency with source code management and project tracking tools such as GitHub and Jira Additional Information: Renesas is an embedded semiconductor solution provider driven

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