Text Analytics Engineer – Conversational Data Pipelines, Analytics

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Design, construct, and maintain scalable data pipelines for conversational and text-based datasets.

• Develop workflows for data ingestion, transformation, enrichment, sampling, and processing for large-scale conversational data.

• Build and support workflows in Athena Studio along with related data processing pipelines tailored for Text Analytics use cases.

• Create and execute sampling methodologies for high-volume conversational data analysis, which includes sampling within and across conversations.

• Prepare and process conversational data for analytics, prompt training, machine learning, and downstream AI applications.

• Collaborate with the Text Analytics team based in Argentina to align on pipeline design, data quality, and delivery priorities.

• Partner with Data Science, Engineering, and Product teams to ensure dependable data flows that support conversational analytics capabilities.

• Develop validation, monitoring, and quality-control checks for production data pipelines.

• Work with both structured and unstructured datasets while ensuring performance, scalability, and maintainability.

• Document pipeline logic, data transformations, and operational processes for technical stakeholders.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Technology, Data Science, or a related technical field, or equivalent practical experience.

• 5+ years of relevant experience in Data Engineering, Analytics Engineering, Text Analytics, Data Science, or related technical areas.

• Hands-on experience in building and supporting data pipelines and ETL/ELT workflows.

• Proven proficiency in Python and SQL.

• Experience with large-scale structured and unstructured datasets.

• Experience in processing text data, conversational data, customer interaction data, or similar unstructured data sources.

• Knowledge of data quality, validation, monitoring, and troubleshooting practices for data pipelines.

• Ability to work effectively with cross-functional and geographically distributed teams.

• Experience using Athena Studio and AWS Athena for analytics or data processing workflows.

• Familiarity with AWS data services such as S3, Glue, Lambda, EMR, SageMaker, or similar cloud-based platforms.

• Experience with Spark, PySpark, Databricks, or other distributed data processing technologies.

• Background in developing sampling methodologies for analytics, NLP, prompt training, or machine learning data preparation.

• Familiarity with Natural Language Processing, Text Analytics, Conversational Analytics, or customer experience analytics domains.

• Awareness of Generative AI, Large Language Models, prompt engineering concepts, or LLM data preparation workflows.

• Strong skills in debugging, performance optimization, and ensuring data pipeline reliability.

• Excellent communication skills, particularly in articulating data workflows, pipeline behavior, and technical trade-offs to both technical and non-technical audiences.

• Experience collaborating with teams across India, Argentina, or other global delivery locations.

• Candidates must complete employment verification and background checks.

• Verification of job titles and employment dates with two previous employers is required.

🏝️ Benefits

• Flexible working hours and hybrid remote work options.

• Opportunities for professional growth and development.

• A collaborative and inclusive work environment.

• The opportunity to work on impactful projects with a talented team.

• Competitive compensation in USD.

• Required hardware and software setup.