Data Engineers build and maintain data pipelines for training and analysis.

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Overview

Data Engineers build and maintain data pipelines for training and analysis.

Responsibilities

• Assemble large data sets: Collect and organize complex datasets for training and analytics.
• Implement process improvements: Identify and implement improvements for data ingestion, processing, and reliability.
• Build ETL infrastructure: Develop extraction, transformation, and loading processes for structured and unstructured data.
• Develop analytical tools: Use statistical tools to interpret data and assist stakeholders.
• Ensure data quality: Collaborate with cross-functional teams to resolve data-related technical issues.
• 
  

Qualifications

• Bachelor's degree in computer science or related field.
• Experience with data warehousing, databases, and big data technologies.
• 
  

Equal opportunity

TAIRC evaluates candidates using role-related evidence and documented review criteria. Employment decisions must not be based on protected personal characteristics.

Engagement pathways and compensation status

TAIRC is currently building its funding base. Opportunities identified as volunteer or unpaid do not provide compensation at this stage. Any future paid appointment would require available funding, organizational approval, applicable legal compliance, and a separate written agreement. Participation does not guarantee future employment or compensation.

• Volunteer contribution interest may be reviewed only as a voluntary, scoped pathway.
• Educational internship interest requires separate supervision, educational purpose, and legal review.
• Advisory expressions of interest are not board or formal advisory appointments.
• Future compensated employment is contingent on funding, approval, legal compliance, and a separate written offer.
• 
  

Accessibility and accommodations

For an accommodation or alternate submission format, contact hr@tairc.com. The application form does not request medical documentation or sensitive identity documents.

Posting information

Department Applied AI Engineering

Public role ID TAIRC-ROLE-019

Status Open

Location, employment type, workplace type, compensation, sponsorship policy, posted date, and closing date are omitted unless HR has entered approved factual values.

Recruitment privacy

• Application data is used for recruitment review, stored with restricted access, and handled under the recruitment privacy and retention policy.

Data Engineers build and maintain data pipelines for training and analysis.

Apply for this roleManage an applicationBack to careers

Overview

Data Engineers build and maintain data pipelines for training and analysis.

Responsibilities

• Assemble large data sets: Collect and organize complex datasets for training and analytics.
• Implement process improvements: Identify and implement improvements for data ingestion, processing, and reliability.
• Build ETL infrastructure: Develop extraction, transformation, and loading processes for structured and unstructured data.
• Develop analytical tools: Use statistical tools to interpret data and assist stakeholders.
• Ensure data quality: Collaborate with cross-functional teams to resolve data-related technical issues.
• 
  

Qualifications

• Bachelor's degree in computer science or related field.
• Experience with data warehousing, databases, and big data technologies.
• 
  

Equal opportunity

TAIRC evaluates candidates using role-related evidence and documented review criteria. Employment decisions must not be based on protected personal characteristics.

Engagement pathways and compensation status

TAIRC is currently building its funding base. Opportunities identified as volunteer or unpaid do not provide compensation at this stage. Any future paid appointment would require available funding, organizational approval, applicable legal compliance, and a separate written agreement. Participation does not guarantee future employment or compensation.

• Volunteer contribution interest may be reviewed only as a voluntary, scoped pathway.
• Educational internship interest requires separate supervision, educational purpose, and legal review.
• Advisory expressions of interest are not board or formal advisory appointments.
• Future compensated employment is contingent on funding, approval, legal compliance, and a separate written offer.
• 
  

Accessibility and accommodations

For an accommodation or alternate submission format, contact hr@tairc.com. The application form does not request medical documentation or sensitive identity documents.

Posting information

Department Applied AI Engineering

Public role ID TAIRC-ROLE-019

Status Open

Location, employment type, workplace type, compensation, sponsorship policy, posted date, and closing date are omitted unless HR has entered approved factual values.

Recruitment privacy

• Application data is used for recruitment review, stored with restricted access, and handled under the recruitment privacy and retention policy.