
Senior Data Ingestion Engineer
Posted 3 days ago

Posted 3 days ago
This is a fully remote position, open to applicants in Poland, +4 more countries.
• Create and execute scalable ingestion pipelines for a large volume of both structured and unstructured insurance documents.
• Process various file types including PDFs, scans, emails, Word, Excel, and PowerPoint documents.
• Conduct OCR/document extraction, as well as text cleaning and normalization.
• Implement semantic chunking and apply metadata tagging.
• Prepare and store vector data for Retrieval-Augmented Generation (RAG).
• Validate extraction results and oversee automated error monitoring.
• Connect ingestion pipelines with downstream AI solutions and document sources.
• Minimum of 7 years of experience as a Data Engineer, proficient in Python and SQL.
• At least 5 years of experience working with AWS.
• Strong proficiency in Python, SQL, AWS, S3, Step Functions, and CloudWatch.
• Experience in building data/document ingestion pipelines.
• Familiarity with processing unstructured documents such as PDFs, scanned files, Word, Excel, PowerPoint, and emails.
• Knowledge of OCR/document extraction technologies, including AWS Textract or similar tools.
• Experience in developing connectors/integrations with SharePoint and email sources.
• Proficient in text cleaning and normalization techniques.
• Experience with metadata extraction and tagging processes.
• Background in automated error monitoring.
• Proven ability to validate OCR/extraction results.
• Experienced with Git, CI/CD, and testing methodologies.
• Practical experience in public-cloud data processing and document ingestion.
• Familiarity with vector databases, RAG, semantic chunking, vector-storage schema design, and retrieval mechanisms is a plus.
• Knowledge of Azure and Databricks is advantageous.
• Specific experience with AWS Textract is considered a plus.
• Previous experience in the insurance or financial services sector is beneficial.
• Experience in managing enterprise security and low-latency SLA requirements is desirable.
• Proficiency in English at Level C1.
• Duration of the mission: 1 year.
• Competitive salary.
• Opportunity to work with cutting-edge technology.
• Collaborative and dynamic work environment.
• Professional development opportunities.
Mainspring Energy
Mercor
Mercor
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