Infobahn Softworld Inc
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 5+ years of experience in data engineering, familiar with modern data platforms, streaming technologies, and governance practices. The contract is for 12 months, remote, with a focus on complex data environments and strong communication skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 24, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
San Jose, CA
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🧠 - Skills detailed
#Metadata #Consulting #Documentation #GDPR (General Data Protection Regulation) #Data Engineering #Data Management #Security #ML (Machine Learning) #Data Lake
Role description
Location: Remote
Duration; 12mts
Required Qualifications:
5+ years of hands-on experience in data engineering/data management with domain-oriented design in complex, multi-use-case environments.
Experience with modern data platforms and data lake/lakehouse architectures.
Familiarity with streaming technologies and event-driven data models.
Proven ability to understand and dissect existing, robust data models
Understanding of metadata management, catalogs, and lineage
Solid grasp of governance, security, and privacy best practices, including handling PII, GDPR/CCPA considerations, and role-based access controls.
Strong communication skills; able to interface with technical and non-technical stakeholders and write clear documentation.
Preferred Qualifications:
Experience implementing data products in a domain-driven architecture or data mesh environment.
Background supporting analytics engineering and ML feature pipelines.
Prior consulting/contracting experience with the ability to operate independently and deliver against milestones.
Positive stakeholder feedback on clarity, responsiveness, and business value delivered.
Desired Candidate Qualities:
The ability to motivate teams to achieve project goals.
Ability to work independently and collaboratively in a dynamic environment.
Exposure to large enterprise working environments and familiarity with their complexities and challenges.
Location: Remote
Duration; 12mts
Required Qualifications:
5+ years of hands-on experience in data engineering/data management with domain-oriented design in complex, multi-use-case environments.
Experience with modern data platforms and data lake/lakehouse architectures.
Familiarity with streaming technologies and event-driven data models.
Proven ability to understand and dissect existing, robust data models
Understanding of metadata management, catalogs, and lineage
Solid grasp of governance, security, and privacy best practices, including handling PII, GDPR/CCPA considerations, and role-based access controls.
Strong communication skills; able to interface with technical and non-technical stakeholders and write clear documentation.
Preferred Qualifications:
Experience implementing data products in a domain-driven architecture or data mesh environment.
Background supporting analytics engineering and ML feature pipelines.
Prior consulting/contracting experience with the ability to operate independently and deliver against milestones.
Positive stakeholder feedback on clarity, responsiveness, and business value delivered.
Desired Candidate Qualities:
The ability to motivate teams to achieve project goals.
Ability to work independently and collaboratively in a dynamic environment.
Exposure to large enterprise working environments and familiarity with their complexities and challenges.
