Data Engineer (AI Platform)

About TaskUs: TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies helping its clients represent protect and grow their brands. Leveraging a cloud-based infrastructure TaskUs serves clients in the fastest-growing sectors including social media e-commerce gaming streaming media food delivery ride-sharing HiTech FinTech and HealthTech.

The People First culture at TaskUs has enabled the company to expand its workforce to approximately 45000 employees globally. Presently we have a presence in twenty-three locations across twelve countries which include the Philippines India and the United States.

It started with one ridiculously good idea to create a different breed of Business Processing Outsourcing (BPO)! We at TaskUs understand that achieving growth for our partners requires a culture of constant motion exploring new technologies being ready to handle any challenge at a moments notice and mastering consistency in an ever-changing world.

What We Offer: At TaskUs we prioritize our employees well-being by offering competitive industry salaries and comprehensive benefits packages. Our commitment to a People First culture is reflected in the various departments we have established including Total Rewards Wellness HR and Diversity. We take pride in our inclusive environment and positive impact on the community. Moreover we actively encourage internal mobility and professional growth at all stages of an employees career within TaskUs. Join our team today and experience firsthand our dedication to supporting People First.

Role: Data Engineer (AI Platform)
Experience: 38 years

About the Role

You will build the data backbone of our AI platformenabling scalable ingestion transformation and access to structured and unstructured data (e.g. transcripts metadata).

Responsibilities

• Build and maintain data ingestion pipelines (batch streaming)

• Design ETL/ELT workflows for transcripts and metadata

• Implement data normalization tagging and enrichment pipelines

• Manage storage layers (S3 data lakes vector stores)

• Enable secure API-based access to customer data (VPC-based)

• Ensure data quality reliability and observability

Required Skills

• Strong experience with Python / SQL

• Experience with data pipeline tools (Airflow Spark Kafka etc.)

• Hands-on AWS experience (S3 Glue Lambda Kinesis Athena)

• Understanding of data modeling and schema design

• Experience with APIs and data integration

Nice to Have

• Experience with vector databases (Pinecone OpenSearch etc.)

• Exposure to GenAI pipelines / embeddings workflows

• Knowledge of data privacy and governance practices

Impact

You will enable reliable scalable and secure data flow powering all AI capabilities.

How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.

DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds demographics and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process please let us know.

We invite you to explore all TaskUs career opportunities and apply through the provided URL Experience:

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