Text Analytics Engineer – Conversational Data Pipelines, Analytics

Job not on LinkedIn

🔥 0 minutes ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📝 NLP Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Abstra

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2007

💼 Consulting

📦 Logistics

📣 Marketing

💰 $2.3M Seed Round - Abstra on 2022-01

Consulting • Logistics • Marketing

Abstra is a nearshore LATAM technology services company that provides staff augmentation, dedicated teams, software outsourcing, and managed IT services to U. S. and international clients. They deliver custom software development (web and mobile), UX/UI design, QA/testing, and platform & infrastructure work (DevOps/SRE), and offer Data & AI capabilities including data engineering, ML engineering, MLOps, and data science. Abstra emphasizes time-zone alignment, bilingual LATAM talent, cost-effective nearshore delivery, and long-term partnership models to help companies scale engineering capacity and accelerate roadmaps.

📋 Description

• Design, build and maintain scalable data pipelines for conversational and text-based datasets • Develop data ingestion, transformation, enrichment, sampling and processing workflows for large-scale conversational data • Build and support Athena Studio workflows and related data processing pipelines for Text Analytics use cases • Create and implement sampling methodologies for high-volume conversational data analysis, including sampling within conversations and across conversations • Prepare and process conversational data for analytics, prompt training, machine learning and downstream AI applications • Collaborate with the Text Analytics team in Argentina to align pipeline design, data quality and delivery priorities • Partner with Data Science, Engineering and Product teams to deliver reliable data flows supporting conversational analytics capabilities • Develop validation, monitoring and quality-control checks for production data pipelines • Work with 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 related technical discipline, or equivalent practical experience • 5+ years of relevant work experience in Data Engineering, Analytics Engineering, Text Analytics, Data Science or related technical areas • Hands-on experience building and supporting data pipelines and ETL/ELT workflows • Demonstrated proficiency in Python and SQL • Experience working with large-scale structured and unstructured datasets • Experience processing text data, conversational data, customer interaction data or similar unstructured data sources • Working knowledge of data quality, validation, monitoring and troubleshooting practices for data pipelines • Ability to collaborate effectively with cross-functional and geographically distributed teams • Experience with Athena Studio and AWS Athena for analytics or data processing workflows • Experience with AWS data services such as S3, Glue, Lambda, EMR, SageMaker or similar cloud-based platforms • Experience with Spark, PySpark, Databricks or distributed data processing technologies • Experience 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 • Familiarity with Generative AI, Large Language Models, prompt engineering concepts or LLM data preparation workflows • Strong debugging, performance optimisation and data pipeline reliability skills • Strong communication skills, especially in describing data workflows, pipeline behaviour and technical trade-offs to technical and non-technical audiences • Experience working with teams across India, Argentina or other global delivery locations • Successful candidates must complete employment verification and background checks • Verification of job titles and employment dates with two previous employers

🏖️ Benefits

• Flexible working hours and hybrid remote work options • Opportunities for professional growth and development • A collaborative and inclusive work environment • The chance to work on impactful projects with a talented team • Excellent compensation in USD • Hardware and software setup (mandatory)