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Innodata Inc. is actively seeking a Data Engineer (Source Access) for 100% remote work to support an AI-focused project. You will leverage Python to access APIs, perform web scraping, and manage data from diverse sources, ensuring reliable access for SMEs and analysts.
As part of a remote team, you will work on testing connectivity, evaluating data collection feasibility, and processing PDF and image-based content while integrating with cloud storage and data pipelines for scalable AI readiness.
Are you a Data Engineer who loves working with APIs, web data, cloud platforms, and Python
Here's an exciting opportunity to bring your technical expertise into an AI-focused project, where you'll help assess, access, and prepare data from diverse sources for expert review.
As a Data Engineer (Source Access), you'll play a key role in making data sources accessible and usable by:
Testing API access and source connectivity
Evaluating bulk download and data collection feasibility
Developing and testing web scraping solutions
Pulling representative data samples for Subject Matter Experts (SMEs)
Working with cloud storage and data pipelines
Processing PDF and image-based data
Troubleshooting data access and extraction challenges
Supporting efficient and reliable data collection workflows
B.E./B.Tech in Computer Science or a related field
3+ years of hands-on Python experience
Strong experience with:
Strong analytical and problem-solving skills
Ability to work independently in a remote environment
Excellent attention to detail when handling technical data
Work on an innovative, technology-driven AI project
Apply your Python and data engineering expertise to real-world data challenges
Be part of a project shaping how data is prepared for next-generation AI
If you have 3+ years of Python experience and hands-on expertise in APIs, web scraping, cloud storage, and document/image processing, we'd love to hear from you!