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 45,000 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 moment’s 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 employee's career within TaskUs. Join our team today and experience firsthand our dedication to supporting People First.
Role: Data Engineer (AI Platform)
Experience: 3–8 years
About the Role
You will build the data backbone of our AI platform—enabling 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 https://www.taskus.com/careers/.
