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AWS Data Engineer (Travel upto 50%)

Remote • Posted 3 hours ago • Updated 3 hours ago

Contract Independent

Contract W2

12 Months

No Travel Required

Remote

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

Data Engineering
Python
Amazon S3
Artificial Intelligence
Extract
Transform
Load
SQL
Unstructured Data

Summary

Job Role: AWS Data Engineer – Unstructured Data & Document Processing

Location: Remote (50% travel required)

Hire-Type: Contract

Position Summary

We are looking for a hands-on AWS Data Engineer to build scalable data ingestion and processing pipelines for large volumes of unstructured documents including PDFs, TIFF images, scanned documents, and other image formats. The primary responsibility is to extract structured information from documents using OCR and AI/ML services, transform the data, and store it in relational databases, JSON document stores, and vector databases to support downstream applications, document search, and AI-powered retrieval.

Responsibilities

Design and develop scalable data ingestion pipelines on AWS.
Process large volumes of PDFs, TIFF files, images, and other unstructured documents.
Build OCR and document extraction workflows using AWS AI services and open-source libraries.
Extract metadata, entities, tables, and key-value information from documents.
Store extracted data into relational databases, JSON document stores, and vector databases.
Develop data models that support fast search and retrieval.
Implement document chunking, embedding generation, and indexing for semantic search.
Optimize pipelines for performance, scalability, reliability, and cost.
Build APIs or integration pipelines for downstream web applications.
Ensure data quality, monitoring, logging, and error handling throughout the ingestion process.
Work closely with AI engineers and application developers to enable enterprise search and retrieval capabilities.

Required Skills

8+ years of Data Engineering experience.
Strong Python development skills.
Hands-on experience with AWS services such as S3, Lambda, Step Functions, ECS/EKS, Glue, SQS/SNS, and IAM.
Experience processing unstructured documents at scale.
Strong knowledge of OCR technologies (AWS Textract preferred; experience with Tesseract or similar is a plus).
Experience designing ETL/ELT pipelines.
Strong SQL and database design skills.
Experience storing and querying JSON data.
Experience with vector databases (OpenSearch Vector Engine, Pinecone, Weaviate, pgvector, FAISS, or similar).
Understanding of embeddings, semantic search, RAG, and document indexing concepts.
Experience building REST APIs is a plus.
Familiarity with Docker, Git, and CI/CD pipelines.
Strong debugging, communication, and problem-solving skills.

Preferred Qualifications

Experience with Amazon Bedrock or other LLM platforms.
Experience with LangChain or similar AI orchestration frameworks.
Knowledge of Apache Spark or distributed data processing.
Experience with document management or enterprise search platforms.

Nice to Have

Experience building enterprise document search solutions.
Exposure to AI/LLM-based information extraction.
Knowledge of Elasticsearch/OpenSearch and search optimization.
Experience working with healthcare, legal, financial, or insurance documents.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10122703
Position Id: 9010049
Posted 3 hours ago

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